This presentation compares 3 educational tagging systems and their tags, and shows that tags from one system are of interest to users of the other, hence the idea of a cross-repository tag cloud. The papers are here: http://CEUR-WS.org/Vol-382/
This document summarizes research on building a serendipitous search system based on enriched entity networks extracted from Wikipedia and Yahoo Answers. It describes extracting entities and relationships between them to build entity networks. It then details using a random walk retrieval algorithm and rank aggregation to perform searches across the networks. The researchers analyze the system's precision, MAP, and ability to provide unexpected yet relevant results. User studies found the combined system provided more relevant, interesting, and informative results compared to using Wikipedia or Yahoo Answers individually. Metadata like sentiment, readability and categories was added to entity networks to help promote serendipity.
This document discusses strategies for searching for educational content online. It begins by explaining the importance of being able to find relevant digital content. It then provides an overview of basic search techniques such as identifying key concepts, generating related search terms, and using Boolean logic. The document also describes searching portals such as COSMOS and Organic Edunet, which allow searching and downloading educational resources. It emphasizes that teachers are critical for ensuring the successful use of online content in education.
This document discusses mining heterogeneous information networks. It begins by defining heterogeneous information networks as information networks containing multiple object and link types. It then discusses how heterogeneous networks are richer than homogeneous networks derived from them by projection. Several examples of heterogeneous networks are given, such as bibliographic, social media, and healthcare networks. The document outlines principles for mining heterogeneous networks, including using meta-paths to explore network structures and relationships. It introduces methods for ranking, clustering, and classifying nodes in heterogeneous networks, such as the RankClus and NetClus algorithms, which integrate ranking and clustering.
JeromeDL is a social semantic digital library that allows users to easily publish and access resources online through metadata tagging and community sharing features. It integrates information from different metadata sources, provides interoperability between systems, and delivers more robust search interfaces powered by semantics. Resources are accessible by machines through rich metadata and the system involves the community in sharing knowledge through social features like comments, bookmarks, and user profiles.
Tutorial at OAI5 (cern.ch/oai5). Abstract: This tutorial will provide a practical overview of current practices in modelling complex or compound digital objects. It will examine some of the key scenarios around creating complex objects and will explore a number of approaches to packaging and transport. Taking research papers, or scholarly works, as an example, the tutorial will explore the different ways in which these, and their descriptive metadata, can be treated as complex objects. Relevant application profiles and metadata formats will be introduced and compared, such as Dublin Core, in particular the DCMI Abstract Model, and MODS, alongside content packaging standards, such as METS MPEG 21 DIDL and IMS CP. Finally, we will consider some future issues and activities that are seeking to address these. The tutorial will be of interest to librarians and technical staff with an interest in metadata or complex objects, their creation, management and re-use.
Presented at the Northern Ohio Technical Services Librarians' meeting, November 22, 2013. Describes why libraries should move toward a linked data future to enable their resources to be discoverable on the open web, and includes lessons learned from developing the eXtensible Catalog at the University of Rochester.
A Review: Text Classification on Social Media DataIOSR Journals
This document provides a review of different classifiers used for text classification on social media data. It discusses how social media data is often unstructured and contains users' opinions and sentiments. Various machine learning algorithms can be used to classify this social media text data, extracting meaningful information. The document focuses on describing Naive Bayes classifiers, which are commonly used for text classification tasks. It explains how Naive Bayes classifiers work by calculating the posterior probability that a document belongs to a certain class, based on applying Bayes' theorem with an independence assumption between features.
Contextualized versus Structural Overlapping Communities in Social Media. Mohsen Shahriari
This slide deck summarizes research on detecting overlapping community structures in social media networks. It discusses challenges in detecting contextualized overlapping communities based on post content. The key research questions are how structural community detection is affected by adding contextual similarities between users, and whether combining content and structure can improve detection performance. Several baseline structural detection algorithms are described, including DMID, SLPA, SSK, and CLIZZ. The presentation then proposes two content-based detection methods, CFOCA and TCMA, and combining content and structural values.
This document summarizes research on building a serendipitous search system based on enriched entity networks extracted from Wikipedia and Yahoo Answers. It describes extracting entities and relationships between them to build entity networks. It then details using a random walk retrieval algorithm and rank aggregation to perform searches across the networks. The researchers analyze the system's precision, MAP, and ability to provide unexpected yet relevant results. User studies found the combined system provided more relevant, interesting, and informative results compared to using Wikipedia or Yahoo Answers individually. Metadata like sentiment, readability and categories was added to entity networks to help promote serendipity.
This document discusses strategies for searching for educational content online. It begins by explaining the importance of being able to find relevant digital content. It then provides an overview of basic search techniques such as identifying key concepts, generating related search terms, and using Boolean logic. The document also describes searching portals such as COSMOS and Organic Edunet, which allow searching and downloading educational resources. It emphasizes that teachers are critical for ensuring the successful use of online content in education.
This document discusses mining heterogeneous information networks. It begins by defining heterogeneous information networks as information networks containing multiple object and link types. It then discusses how heterogeneous networks are richer than homogeneous networks derived from them by projection. Several examples of heterogeneous networks are given, such as bibliographic, social media, and healthcare networks. The document outlines principles for mining heterogeneous networks, including using meta-paths to explore network structures and relationships. It introduces methods for ranking, clustering, and classifying nodes in heterogeneous networks, such as the RankClus and NetClus algorithms, which integrate ranking and clustering.
JeromeDL is a social semantic digital library that allows users to easily publish and access resources online through metadata tagging and community sharing features. It integrates information from different metadata sources, provides interoperability between systems, and delivers more robust search interfaces powered by semantics. Resources are accessible by machines through rich metadata and the system involves the community in sharing knowledge through social features like comments, bookmarks, and user profiles.
Tutorial at OAI5 (cern.ch/oai5). Abstract: This tutorial will provide a practical overview of current practices in modelling complex or compound digital objects. It will examine some of the key scenarios around creating complex objects and will explore a number of approaches to packaging and transport. Taking research papers, or scholarly works, as an example, the tutorial will explore the different ways in which these, and their descriptive metadata, can be treated as complex objects. Relevant application profiles and metadata formats will be introduced and compared, such as Dublin Core, in particular the DCMI Abstract Model, and MODS, alongside content packaging standards, such as METS MPEG 21 DIDL and IMS CP. Finally, we will consider some future issues and activities that are seeking to address these. The tutorial will be of interest to librarians and technical staff with an interest in metadata or complex objects, their creation, management and re-use.
Presented at the Northern Ohio Technical Services Librarians' meeting, November 22, 2013. Describes why libraries should move toward a linked data future to enable their resources to be discoverable on the open web, and includes lessons learned from developing the eXtensible Catalog at the University of Rochester.
A Review: Text Classification on Social Media DataIOSR Journals
This document provides a review of different classifiers used for text classification on social media data. It discusses how social media data is often unstructured and contains users' opinions and sentiments. Various machine learning algorithms can be used to classify this social media text data, extracting meaningful information. The document focuses on describing Naive Bayes classifiers, which are commonly used for text classification tasks. It explains how Naive Bayes classifiers work by calculating the posterior probability that a document belongs to a certain class, based on applying Bayes' theorem with an independence assumption between features.
Contextualized versus Structural Overlapping Communities in Social Media. Mohsen Shahriari
This slide deck summarizes research on detecting overlapping community structures in social media networks. It discusses challenges in detecting contextualized overlapping communities based on post content. The key research questions are how structural community detection is affected by adding contextual similarities between users, and whether combining content and structure can improve detection performance. Several baseline structural detection algorithms are described, including DMID, SLPA, SSK, and CLIZZ. The presentation then proposes two content-based detection methods, CFOCA and TCMA, and combining content and structural values.
Exploration of a Data Landscape using a Collaborative Linked Data Framework.Laurent Alquier
The document discusses using a collaborative linked data framework to explore a data landscape. It describes how the framework helps scientists access and integrate disparate data sources to answer translational research questions. Key components of the framework include a semantic wiki for cataloging data sources, linking data concepts, querying across sources, and visualizing relationships between sources. The goal is to provide scientists with flexible tools to discover and leverage relevant data without needing expertise in data management.
Creating impact with accessible data in agriculture and nutrition: sharing da...godanSec
Richard Finkers (Wageningen UR) presented at the 2nd International Workshop: Creating Impact with Open Data in Agriculture and Nutrition in The Hague, 11 September 2015.
Wheat Data Interoperability (2) by Esther DZALE YEUMO KABORE and Richard FULSSCIARD Movement
Presentation delivered at the Agricultural Data Interoperability Interest Group -- Research Data Alliance (RDA) 4th Plenary Meeting -- Amsterdam, September 2014
This document discusses using semantic analysis to map curricula, identify gaps, and enable remediation. It describes projects that applied semantic analysis to map learning outcomes, concepts, and curricular segments. Demos were presented on tools that perform gap analysis and allow collaborative content development. Semantic analysis can correlate related learning objects and systems to build smart objects and systems. Standards-based tagging allows content to be more easily consumed and developed collaboratively.
Structural syntactic metrics for RDF Datasets that correlate with high level quality deficiencies.
The vision of the Linked Open Data (LOD) initiative is to provide a model for publishing data and meaningfully interlinking such dispersed but related data. Despite the importance of data quality for the successful growth of the LOD, only limited attention has been focused on quality of data prior to their publication on the LOD. This paper focuses on the systematic assessment of the quality of datasets prior to publication on the LOD cloud. To this end, we identify important quality deficiencies that need to be avoided and/or resolved prior to the publication of a dataset. We then propose a set of metrics to measure and identify these quality deficiencies in a dataset. This way, we enable the assessment and identification of undesirable quality characteristics of a dataset through our proposed metrics.
Slides for paper presentation at DEXA 2015:
Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri:
Quality Metrics for Linked Open Data. DEXA (1) 2015: 144-152
Functions of information retrival system(1)silambu111
The document discusses information retrieval systems. It defines information retrieval as the process of searching collections of documents to identify those dealing with a particular subject. Information retrieval systems aim to facilitate literature searching. They involve representing, storing, organizing, and providing access to information items so that users can easily find information of interest. Information retrieval draws from multiple disciplines and involves subsystems for documents, users, and searching/matching.
Information filtering is the process of monitoring large amounts of dynamically generated information and identifying the subset of information likely to be of interest to a user based on their information needs. It represents the user's interests and identifies only pieces of information they would find interesting. There are three main categories of information filtering: collaborative filtering which uses recommendations from other users; content-based filtering which uses a comparison between item content and user profiles; and hybrid filtering which combines aspects of collaborative and content-based filtering. Feedback techniques can also be used to continually update and improve filtering.
This document discusses entity detection and consolidation to enable both human and computer understanding of text. It aims to identify different mentions of real-world entities in text and link them unambiguously to an external database, using linked data as the background database. The researchers developed AELA, a framework for entity detection and consolidation that is adaptive to semantic structures in linked data. Preliminary experiments applying AELA to music and film domains achieved F-scores of 0.54 and 0.87 respectively. Future work will focus on detecting entities mentioned by generalized names, applying AELA to different domains, and evaluating other methods within the AELA framework.
FAIR Data Management and FAIR Data SharingMerce Crosas
Presentation at the Critical Perspective on the Practice of Digiral Archeology symposium: http://archaeology.harvard.edu/critical-perspectives-practice-digital-archaeology
This document provides information on a graduate course titled "Metadata for Description and Retrieval of Online Resources" offered at the University of Warsaw in the second semester of 2013. The course is designed to explore metadata schemes such as MARC, Dublin Core, EAD, TEI, and XML. Students will learn about metadata applications in digital collections and repositories, as well as interoperability, harvesting, and crosswalks between metadata schemes. Coursework includes exams, exercises, an oral presentation, and written report on a metadata topic.
Cluster Based Web Search Using Support Vector MachineCSCJournals
Now days, searches for the web pages of a person with a given name constitute a notable fraction of queries to Web search engines. This method exploits a variety of semantic information extracted from web pages. The rapid growth of the Internet has made the Web a popular place for collecting information. Today, Internet user access billions of web pages online using search engines. Information in the Web comes from many sources, including websites of companies, organizations, communications and personal homepages, etc. Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search results into groups (clusters), one for each meaning of the query. These groups are usually constructed according to the topical similarity of the retrieved documents, but it is possible for documents to be totally dissimilar and still correspond to the same meaning of the query. To overcome this problem, the relevant Web pages are often located close to each other in the Web graph of hyperlinks. It presents a graphical approach for entity resolution & complements the traditional methodology with the analysis of the entity-relationship (ER) graph constructed for the dataset being analyzed. It also demonstrates a technique that measures the degree of interconnectedness between various pairs of nodes in the graph. It can significantly improve the quality of entity resolution. Using Support vector machines (SVMs) which are a set of related Supervised learning methods used for classification of load of user queries to the sever machine to different client machines so that system will be stable. clusters web pages based on their capacities stores whole database on server machine. Keywords: SVM, cluster; ER.
Data publishing from the viewpoint of a biodiversity publisherVince Smith
Lyubomir Penev, Vishwas Chavan, Gregor Hagedorn, Daniel Mietchen, Teodor Georgiev, David Roberts, Vincent Smith. 2011. Data publishing from the viewpoint of a biodiversity publisher. TDWG 2011 Annual Conference, Data Citation Workshop at the Astor Crown Plaza Hotel, New Orleans, Louisiana, USA. 16 - 21st October 2011.
This document provides information about a proposed workshop on knowledge acquisition from distributed, autonomous, and semantically heterogeneous data sources to be held at the 2005 IEEE International Conference on Data Mining. The workshop aims to bring together researchers from areas like machine learning, data mining, knowledge representation, databases, and selected application domains to address challenges in performing knowledge discovery from multiple distributed data sources that may have semantic differences. Topics of interest include learning from distributed data, making data sources self-describing through ontologies, learning ontologies and mappings between schemas, and handling semantic heterogeneity. The workshop will include invited talks and presentations of contributed papers, and targets researchers, students, and practitioners interested in knowledge acquisition from distributed data.
Research on ontology based information retrieval techniquesKausar Mukadam
The document summarizes and compares three novel ontology-based information retrieval techniques. It discusses a technique for retrieving information in the domain of Traditional Chinese Medicine that uses an ontology to represent concepts and measures concept similarity to sort search results. It also describes a framework for semantic indexing and querying that uses an ontology and entity-attribute-value model to improve scalability, usability, and retrieval performance for transport systems. Additionally, it outlines a semantic extension retrieval model that uses ontology annotation and semantic extension of queries to address limitations of keyword-based search. The techniques are evaluated based on precision and recall measures to analyze their effectiveness compared to traditional methods.
This document provides a full syllabus with questions and answers related to the course "Information Retrieval" including definitions of key concepts, the historical development of the field, comparisons between information retrieval and web search, applications of IR, components of an IR system, and issues in IR systems. It also lists examples of open source search frameworks and performance measures for search engines.
NADA is an open source web application for archiving, searching and browsing microdata using the data documentation initiative (DDI).
Key features are:
- Support DDI and RDF
- Search studies and variables
- Compare variables
- Provides data access for datasets using Public, Licensed, Direct and Data Enclave
Open Annotation Collaboration BriefingTimothy Cole
The document summarizes a meeting of the Open Annotation Collaboration (OAC) project team. The OAC aims to develop an interoperable annotation model and specification to facilitate sharing annotations across systems. In phase 1, the OAC will analyze existing annotation practices, develop a data model and specification, integrate annotation tools into Zotero, and create a proof-of-concept implementation.
Profiling systems have achieved notable adoption by research institutions.1 Multi-site search of research profiling systems has substantially evolved since the first deployment of systems such as DIRECT2Experts.2 CTSAsearch is a federated search engine using VIVO-compliant Linked Open Data (LOD) published by members of the NIH-funded Clinical and Translational Science (CTSA) consortium and other interested parties. Sixty-four institutions are currently included, spanning six distinct platforms and three continents (North America, Europe and Australia). In aggregate, CTSAsearch has data on 150-300 thousand unique researchers and their 10 million publications. The public interface is available at http://research.icts.uiowa.edu/polyglot.
This document discusses Kno.e.sis' projects on a federated semantic services platform and material database knowledge discovery for material sciences. It proposes a federated architecture with provenance and access control to realize open digital data sharing while protecting private data. The architecture uses semantic mappings and query processing across distributed public, shared, and private material databases. Provenance metadata captured during experiments can improve reproducibility and trust in material products. Flexible access control policies allow custom sharing of semantic data at different granularities with public communities or collaborators.
The document discusses the use of Boolean operators to narrow or broaden search results in databases. It explains that Boolean operators define relationships between search terms and allow combining terms with AND, OR and NOT. Specifically, it states that AND narrows results by requiring both terms, OR broadens results by including either term, and NOT narrows by excluding one term. The document provides examples of using these operators alone and in combination to search the ERIC database.
Markets involve the sharing of ideas, thoughts, beliefs, feelings and views through conversation. Ideas, thoughts, beliefs, feelings and views are shared in markets. Markets can be seen as a conversation involving the sharing of various perspectives.
The document discusses exponents and multiplying monomials. It provides examples of exponents like 32 meaning 3 x 3 and explains that 32 does not mean 3 x 2. It also shows how to evaluate exponents, like 63 = (6 x 6) x 6 = 216. The document then explains that when multiplying terms with the same base, you add the exponents, like 32 x 33 = 35. Finally, it defines monomials as expressions involving constants and variables and shows how to multiply them by separating coefficients and variables, like (5t)(20t3) = 100t4.
Exploration of a Data Landscape using a Collaborative Linked Data Framework.Laurent Alquier
The document discusses using a collaborative linked data framework to explore a data landscape. It describes how the framework helps scientists access and integrate disparate data sources to answer translational research questions. Key components of the framework include a semantic wiki for cataloging data sources, linking data concepts, querying across sources, and visualizing relationships between sources. The goal is to provide scientists with flexible tools to discover and leverage relevant data without needing expertise in data management.
Creating impact with accessible data in agriculture and nutrition: sharing da...godanSec
Richard Finkers (Wageningen UR) presented at the 2nd International Workshop: Creating Impact with Open Data in Agriculture and Nutrition in The Hague, 11 September 2015.
Wheat Data Interoperability (2) by Esther DZALE YEUMO KABORE and Richard FULSSCIARD Movement
Presentation delivered at the Agricultural Data Interoperability Interest Group -- Research Data Alliance (RDA) 4th Plenary Meeting -- Amsterdam, September 2014
This document discusses using semantic analysis to map curricula, identify gaps, and enable remediation. It describes projects that applied semantic analysis to map learning outcomes, concepts, and curricular segments. Demos were presented on tools that perform gap analysis and allow collaborative content development. Semantic analysis can correlate related learning objects and systems to build smart objects and systems. Standards-based tagging allows content to be more easily consumed and developed collaboratively.
Structural syntactic metrics for RDF Datasets that correlate with high level quality deficiencies.
The vision of the Linked Open Data (LOD) initiative is to provide a model for publishing data and meaningfully interlinking such dispersed but related data. Despite the importance of data quality for the successful growth of the LOD, only limited attention has been focused on quality of data prior to their publication on the LOD. This paper focuses on the systematic assessment of the quality of datasets prior to publication on the LOD cloud. To this end, we identify important quality deficiencies that need to be avoided and/or resolved prior to the publication of a dataset. We then propose a set of metrics to measure and identify these quality deficiencies in a dataset. This way, we enable the assessment and identification of undesirable quality characteristics of a dataset through our proposed metrics.
Slides for paper presentation at DEXA 2015:
Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri:
Quality Metrics for Linked Open Data. DEXA (1) 2015: 144-152
Functions of information retrival system(1)silambu111
The document discusses information retrieval systems. It defines information retrieval as the process of searching collections of documents to identify those dealing with a particular subject. Information retrieval systems aim to facilitate literature searching. They involve representing, storing, organizing, and providing access to information items so that users can easily find information of interest. Information retrieval draws from multiple disciplines and involves subsystems for documents, users, and searching/matching.
Information filtering is the process of monitoring large amounts of dynamically generated information and identifying the subset of information likely to be of interest to a user based on their information needs. It represents the user's interests and identifies only pieces of information they would find interesting. There are three main categories of information filtering: collaborative filtering which uses recommendations from other users; content-based filtering which uses a comparison between item content and user profiles; and hybrid filtering which combines aspects of collaborative and content-based filtering. Feedback techniques can also be used to continually update and improve filtering.
This document discusses entity detection and consolidation to enable both human and computer understanding of text. It aims to identify different mentions of real-world entities in text and link them unambiguously to an external database, using linked data as the background database. The researchers developed AELA, a framework for entity detection and consolidation that is adaptive to semantic structures in linked data. Preliminary experiments applying AELA to music and film domains achieved F-scores of 0.54 and 0.87 respectively. Future work will focus on detecting entities mentioned by generalized names, applying AELA to different domains, and evaluating other methods within the AELA framework.
FAIR Data Management and FAIR Data SharingMerce Crosas
Presentation at the Critical Perspective on the Practice of Digiral Archeology symposium: http://archaeology.harvard.edu/critical-perspectives-practice-digital-archaeology
This document provides information on a graduate course titled "Metadata for Description and Retrieval of Online Resources" offered at the University of Warsaw in the second semester of 2013. The course is designed to explore metadata schemes such as MARC, Dublin Core, EAD, TEI, and XML. Students will learn about metadata applications in digital collections and repositories, as well as interoperability, harvesting, and crosswalks between metadata schemes. Coursework includes exams, exercises, an oral presentation, and written report on a metadata topic.
Cluster Based Web Search Using Support Vector MachineCSCJournals
Now days, searches for the web pages of a person with a given name constitute a notable fraction of queries to Web search engines. This method exploits a variety of semantic information extracted from web pages. The rapid growth of the Internet has made the Web a popular place for collecting information. Today, Internet user access billions of web pages online using search engines. Information in the Web comes from many sources, including websites of companies, organizations, communications and personal homepages, etc. Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search results into groups (clusters), one for each meaning of the query. These groups are usually constructed according to the topical similarity of the retrieved documents, but it is possible for documents to be totally dissimilar and still correspond to the same meaning of the query. To overcome this problem, the relevant Web pages are often located close to each other in the Web graph of hyperlinks. It presents a graphical approach for entity resolution & complements the traditional methodology with the analysis of the entity-relationship (ER) graph constructed for the dataset being analyzed. It also demonstrates a technique that measures the degree of interconnectedness between various pairs of nodes in the graph. It can significantly improve the quality of entity resolution. Using Support vector machines (SVMs) which are a set of related Supervised learning methods used for classification of load of user queries to the sever machine to different client machines so that system will be stable. clusters web pages based on their capacities stores whole database on server machine. Keywords: SVM, cluster; ER.
Data publishing from the viewpoint of a biodiversity publisherVince Smith
Lyubomir Penev, Vishwas Chavan, Gregor Hagedorn, Daniel Mietchen, Teodor Georgiev, David Roberts, Vincent Smith. 2011. Data publishing from the viewpoint of a biodiversity publisher. TDWG 2011 Annual Conference, Data Citation Workshop at the Astor Crown Plaza Hotel, New Orleans, Louisiana, USA. 16 - 21st October 2011.
This document provides information about a proposed workshop on knowledge acquisition from distributed, autonomous, and semantically heterogeneous data sources to be held at the 2005 IEEE International Conference on Data Mining. The workshop aims to bring together researchers from areas like machine learning, data mining, knowledge representation, databases, and selected application domains to address challenges in performing knowledge discovery from multiple distributed data sources that may have semantic differences. Topics of interest include learning from distributed data, making data sources self-describing through ontologies, learning ontologies and mappings between schemas, and handling semantic heterogeneity. The workshop will include invited talks and presentations of contributed papers, and targets researchers, students, and practitioners interested in knowledge acquisition from distributed data.
Research on ontology based information retrieval techniquesKausar Mukadam
The document summarizes and compares three novel ontology-based information retrieval techniques. It discusses a technique for retrieving information in the domain of Traditional Chinese Medicine that uses an ontology to represent concepts and measures concept similarity to sort search results. It also describes a framework for semantic indexing and querying that uses an ontology and entity-attribute-value model to improve scalability, usability, and retrieval performance for transport systems. Additionally, it outlines a semantic extension retrieval model that uses ontology annotation and semantic extension of queries to address limitations of keyword-based search. The techniques are evaluated based on precision and recall measures to analyze their effectiveness compared to traditional methods.
This document provides a full syllabus with questions and answers related to the course "Information Retrieval" including definitions of key concepts, the historical development of the field, comparisons between information retrieval and web search, applications of IR, components of an IR system, and issues in IR systems. It also lists examples of open source search frameworks and performance measures for search engines.
NADA is an open source web application for archiving, searching and browsing microdata using the data documentation initiative (DDI).
Key features are:
- Support DDI and RDF
- Search studies and variables
- Compare variables
- Provides data access for datasets using Public, Licensed, Direct and Data Enclave
Open Annotation Collaboration BriefingTimothy Cole
The document summarizes a meeting of the Open Annotation Collaboration (OAC) project team. The OAC aims to develop an interoperable annotation model and specification to facilitate sharing annotations across systems. In phase 1, the OAC will analyze existing annotation practices, develop a data model and specification, integrate annotation tools into Zotero, and create a proof-of-concept implementation.
Profiling systems have achieved notable adoption by research institutions.1 Multi-site search of research profiling systems has substantially evolved since the first deployment of systems such as DIRECT2Experts.2 CTSAsearch is a federated search engine using VIVO-compliant Linked Open Data (LOD) published by members of the NIH-funded Clinical and Translational Science (CTSA) consortium and other interested parties. Sixty-four institutions are currently included, spanning six distinct platforms and three continents (North America, Europe and Australia). In aggregate, CTSAsearch has data on 150-300 thousand unique researchers and their 10 million publications. The public interface is available at http://research.icts.uiowa.edu/polyglot.
This document discusses Kno.e.sis' projects on a federated semantic services platform and material database knowledge discovery for material sciences. It proposes a federated architecture with provenance and access control to realize open digital data sharing while protecting private data. The architecture uses semantic mappings and query processing across distributed public, shared, and private material databases. Provenance metadata captured during experiments can improve reproducibility and trust in material products. Flexible access control policies allow custom sharing of semantic data at different granularities with public communities or collaborators.
The document discusses the use of Boolean operators to narrow or broaden search results in databases. It explains that Boolean operators define relationships between search terms and allow combining terms with AND, OR and NOT. Specifically, it states that AND narrows results by requiring both terms, OR broadens results by including either term, and NOT narrows by excluding one term. The document provides examples of using these operators alone and in combination to search the ERIC database.
Markets involve the sharing of ideas, thoughts, beliefs, feelings and views through conversation. Ideas, thoughts, beliefs, feelings and views are shared in markets. Markets can be seen as a conversation involving the sharing of various perspectives.
The document discusses exponents and multiplying monomials. It provides examples of exponents like 32 meaning 3 x 3 and explains that 32 does not mean 3 x 2. It also shows how to evaluate exponents, like 63 = (6 x 6) x 6 = 216. The document then explains that when multiplying terms with the same base, you add the exponents, like 32 x 33 = 35. Finally, it defines monomials as expressions involving constants and variables and shows how to multiply them by separating coefficients and variables, like (5t)(20t3) = 100t4.
La vida es de color naranja. El color naranja representa la calidez, la energía y la creatividad. La vida está llena de momentos dulces y amargos que nos hacen crecer.
The document discusses a movie making project (MMP) that a teacher designed for their Chinese language students. The project aimed to foster purposeful language use and encourage intercultural communication. Students produced short films with Chinese commentary and English subtitles of a class soccer match. The teacher assessed the movies and provided feedback. They held an award ceremony and had students complete a feedback questionnaire. The teacher found that the MMP made learning purposeful, active, interactive and challenging while also supporting reflection on intercultural language learning.
1. The document discusses Prof. Irish's wardrobe options and uses a tree diagram to calculate the number of possible combinations of clothing he can wear before needing to repeat an outfit.
2. It is determined that with 4 pants, 3 shirts, 2 vests, and 4 ties, Prof. Irish has 96 possible outfits before repeating, allowing him to dress differently every day of the semester.
3. The document asks how many combinations would be possible if Prof. Irish had a second pair of shoes and provides examples of calculating combinations for other clothing quantities.
God created the world over six days according to the creation story. On each day God created a new aspect of the world: light and dark on day one, sky and sea on day two, land and plants on day three, the sun and moon on day four, sea creatures and birds on day five, and land animals and humans on day six. God rested on the seventh day. God created humans to care for the universe. The document expresses the importance of caring for God's creation, including animals and the environment. It encourages writing letters to the government to protect animal habitats and stop cutting down trees.
This document summarizes the author's personal experiences with educational technology over time. It begins with biographical information about graduating from high school in 2002. Next, it describes the technologies used during the author's college education in the early 2000s, including PowerPoint, podcasts, and an online learning platform. The document concludes by speculating on future educational technologies like virtual reality that could replace physical classrooms.
This document reviews absolute value concepts including:
- Graphing absolute value equations and finding their domains and ranges
- Procedures for solving absolute value equations like |x-2|=7 and |x-10|=4.5
- Graphing the solutions to inequality equations like |x - (-5)| ≤ 8 and |x - 6| > 5
The document discusses using social tagging to help discover learning resources across different languages and repositories. It proposes that tagging can create new link structures between resources and support social information retrieval approaches to improve cross-boundary discovery. The author's PhD research analyzes the ecology of tagging, how it interacts with traditional metadata, and how it can support multilingual resource sharing.
The document discusses open educational resources (OERs) and practices at the Knowledge Cloud. It defines OERs as educational resources that can be freely used and adapted for teaching and learning. It describes how OERs are typically organized and stored as learning objects in learning object repositories (LORs). It also introduces the concepts of open learning designs (Open LDs), which describe the teaching and learning process for a unit or course, and learning design repositories (LDRs) which store Open LDs along with metadata.
Multidisciplinarity vs. Multivocality, the case of “Learning Analytics"Nicolas Balacheff
This document discusses the relationship between multidisciplinarity and multivocality in the context of learning analytics research. It argues that while learning analytics began as a multidisciplinary field, approaches like productive multivocality that involve performing multiple analyses from different frameworks can help drive the field towards greater integration and interdisciplinarity. The document uses an example from a prior multivocality study to illustrate how comparing analyses across frameworks can lead researchers to refine concepts, make positions more explicit, and potentially achieve some methodological integration.
Overview of C-SAP open educational resources projectCSAPOER
This presentation showcases, discusses and reflects upon the work of the C-SAP "Open Educational Resources" project. Our project, "Evaluating the Practice of Opening up Resources for Learning and Teaching in the Social Sciences", was part of a pilot programme (funded by the HEA and JISC), which sought to explore issues around the sharing of educational material from a disciplinary perspective. Whilst exploring, with our academic project partners, the principles and issues around releasing educational material (institutional, contractual, administrative), we have also sought to develop some insights into the processes of sharing practice, and look forward to discussing the findings in this forum.
C-SAP e-learning forum: Overview of Open Educational Resources projectCSAPSubjectCentre
The document summarizes the C-SAP Open Educational Resources project which funded 14 subject projects to develop and release open educational content. It discusses the rationale for open educational resources including encouraging sharing between institutions and universal sharing of materials. It describes the subject strands funded, challenges of sharing educational content, and a proposed toolkit and mapping process to contextualize modules and expose implicit pedagogical design for reuse.
Are tags from Mars and descriptors from Venus?Riina Vuorikari
This document summarizes a study on the interplay between conventional metadata and user-generated tags for educational resources. The study found that tags provide additional searchability and classification beyond formal metadata standards. Users tagged in multiple languages and a significant portion of tags matched terms in an educational thesaurus. Tags that generated more clicks proved more useful for finding resources than tags that were less used. Expert indexers found many user tags to be descriptive like formal metadata fields. Tags created new navigational structures between users, resources, and descriptors across languages and repositories.
Presentation delivered at the doctoral defence of Monica Lassi, University of Borås, 11th June 2014. There is a full narrative to accompany these slides at http://hazelhall.org/2014/06/12/facilitating-collaboration-a-doctoral-defence-in-sweden/
A Folksonomy-Based Lightweight Resource Annotation Metadata Schema For Person...Kim Daniels
1) The document proposes a lightweight resource annotation metadata schema and semantic model to annotate and personalize hypermedia learning resources for individual learners based on folksonomy tagging.
2) It aims to harness social web resources for educational purposes by adapting them to different learner needs, styles, and preferences through collaborative tagging and annotation.
3) A prototype recommender system is demonstrated and preliminary results found learners were confident in the accuracy, usefulness, and relevance of the recommended resources.
Semantic Technologies in Learning EnvironmentsDragan Gasevic
The document discusses the potential of semantic technologies and learning analytics. It describes how semantic technologies like ontologies, linked data, and semantic web standards can be used to interconnect applications and share domain knowledge. It also discusses how semantic technologies and learning analytics can be combined to provide insights into learning processes and behaviors. Finally, it outlines some open challenges in these areas like ontology development, integrating folksonomies with ontologies, and making learning analytics more ubiquitous and visual.
Semantic Technologies in Learning AnalyticsDragan Gasevic
My presentation at the pre-conference workshop of the 1st International Conference on Learning Analytics and Knoweldge
https://tekri.athabascau.ca/analytics/
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
Technical Challenges for Realizing Learning Analytics
Learntec 2015, January 28, 2015, Karlsruhe, Germany,
Ralf Klamma
Advanced Community Informations Systems (ACIS) Group
RWTH Aachen University
JISC LADIE project Learning Design In Educationgrainne
The JISC LADIE project aims to develop a reference model for designing, constructing, and executing reusable learning activities that can be shared across institutions. It involves collaborators from several universities and companies. The project will identify learning activity use cases through workshops and develop a reference model to support learning activity authoring and realization. It seeks to bridge the gap between the potential of technologies and good pedagogical practice in learning activity design.
This document summarizes a presentation given by librarians at Texas State University about using social media for scholarly purposes. It discusses various social media tools for tasks like bibliographic management, open access repositories, and alternative metrics. Tools covered include Mendeley, ResearchGate, Academia.edu, SlideShare, and Prezi. The presentation encourages the use of these tools to disseminate research more quickly and track alternative impact measures beyond traditional citations. Questions from attendees are taken at the end.
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisationTore Hoel
1) The document discusses opportunities for standardization in learning analytics, including harmonizing activity stream specifications, building vocabularies, storage designs, privacy and data protection, and sharing algorithms and predictive models.
2) It analyzes characteristics of educational big data like varied data sources and formats, and calls for standards to bring these diverse data together and make them interoperable and meaningful for learners and teachers.
3) The document reviews several emerging specifications and tools in learning analytics, and identifies challenges for standardization in areas like privacy, personal data stores, data analysis, and sharing models and algorithms.
LOR Characteristics and ConsiderationsScott Leslie
The document summarizes the findings of a research project that evaluated 6 different learning object repository (LOR) products. It discusses some of the issues with LORs, such as their immaturity as a technology and market. It provides high-level summaries of the 6 products reviewed, noting their main strengths and weaknesses. Overall, it finds the products generally support search/browse but lack features like syndication, community/evaluation, and content aggregation. It concludes that the best LOR solution depends on how the problem is defined and what existing systems are in place.
Education must capitalize on the trend within technology toward big data. New types of data are becoming available. From evidence approaches to xAPI and the whole Training and Learning Architecture(TLA) big data is the foundation of all.
This document discusses open educational resources (OERs) and their role in distance education. It begins with definitions of OERs and examples of notable OER initiatives. It then summarizes research on OERs that found issues with discoverability, lack of context, and a need for communities and tracking of reuse. Practitioners were often unfamiliar with OERs and preferred resources with specific practical applications. Major constraints to using OERs included limited understanding of their value and lack of staff development. Adopting OERs could require training, time for discovery, and developing open access infrastructure and policies across institutions.
The document discusses educational portals and learning object repositories. It describes four dimensions of educational portals: community, content, management, and news. It provides examples of portals for each dimension. It then discusses learning objects and learning object repositories, which allow standardized digital learning resources to be shared. The document outlines considerations for developing a learning object repository and describes the development of Estonia's learning object repository called Koolielu 2.0.
The document discusses the use of controlled vocabularies (taxonomies and thesauri) compared to social tagging (folksonomies) for organizing information. It provides examples of each approach from current practice in education. Taxonomies provide consistency but new terms may be missing, while folksonomies allow user-generated tags but lack structure and control. A hybrid approach combining the two is proposed.
Similar to SIRTEL'08 Cross Repository Tag Usage (20)
DigComp helping shape the education ecosystem in Europe.pdfRiina Vuorikari
The keynote focuses on the DigComp 2.2 update and it will additionally reference a number of other recent research by the European Commission’s Joint Research Centre on digital education.
Defining and measuring digital competence in a rapidly changing world: Perspe...Riina Vuorikari
The document discusses updating the European Digital Competence Framework (DigComp) to version 2.2 to include additional knowledge, skills, and attitudes related to artificial intelligence and data. It summarizes key points from a presentation on digital competence for citizens, including context, requirements for interacting with AI systems, monitoring digital skills through indicators, and the importance of digital skills as a global challenge. The DigComp framework provides a common language and understanding of digital competence by outlining its different dimensions and focus areas.
Presentation includes illustrative scenarios where citizens interact wtih AI systems and then goes on to talk about what knowledge, skills and attitudes are needed to use digital technologies in a safe, responsible and critical way.
Keynote taking about the importance of emotional and social learning, and digital competence as key comptences in the future where AI among other emerging technologies might shape our skills' set.
DigComp 2.2: European Media Literacy week 2021Riina Vuorikari
Draft of DigComp 2.2 examples (work in progress) was presented and discussed through the lens of Information and Media Literacy needs in today's society
This document summarizes an interactive workshop on updating the Digital Competence Framework for Citizens (DigComp). It included:
1) An introduction to work in progress on adding statements related to citizens interacting with AI systems, information literacy/collaboration/content creation, and well-being/environmental sustainability.
2) A discussion of draft statements from these areas, seeking comments and questions.
3) An overview of the validation and publication process for DigComp 2.2, including an online public validation period and planned launch in February 2022.
Addressing citizens' AI challenge through EU’s Digital Education Action PlanRiina Vuorikari
This document discusses the EU's Digital Education Action Plan to address citizens' challenges with AI through education and training. It outlines the knowledge, skills, and attitudes citizens need to engage confidently, critically, and responsibly with AI systems for learning, work, and participation in society. This includes being aware of AI benefits and limitations, understanding what AI can and cannot do, using and interacting with AI systems, and considering issues of trustworthiness, ethics, and human agency and control. The document provides an example framework and timeline for developing statements on recommended competencies. It promotes the EU's approach to ensuring trust in AI through new regulations and coordinated plans with member states.
Makerspaces for Education & Training: Future implications Riina Vuorikari
Exploring three unique aspects of makerspaces (Interdisciplinarity; Authentic real-world problems; Flexible learning arrangements) and how they could be best taken advantage in education and training in the future. Input to the Creative Campus online workshop of the Creative FLIP Learning Labs program. Report: https://europa.eu/!xG98yQ
A presentation at the Committee of Regions event for the Finnish EU-presidency. Panel discussion "Next Challenge: The Impact of Artificial Intelligence on education and knowledge creation"
Summer school keynote: A few insights aboutthe EU agenda for teaching and le...Riina Vuorikari
Through examples of the Joint Research Centre’s work to support the Member States in their implementation of digital competence in their agendas (e.g. DigComp framework, SELFIE), the presentation will illustrate how the so called “Open method of coordination” works in the field of education and training. On the other hand, the presentation will also evoke interesting research questions that will help European Union to reach its goals for the future (e.g. AI in Education, digital networks to support on-the-job-training). https://ea-tel.eu/jtelss/jtelss2019/futuretel-open-seminar/
1. The document discusses emerging models of teacher professional development that aim to overcome barriers like time constraints and lack of incentives. It provides examples of innovative practices from Europe, including developing teachers within their own schools, emphasizing competence-based learning, and integrating hands-on experiences and digital delivery.
2. While these new models show promise in addressing teachers' needs, the document notes they have not been widely adopted and their impact on classroom practices requires more research. Traditional providers of professional development have also not fully incorporated these emerging features.
3. The document concludes by encouraging inspiration from these examples to enhance teaching and learning, but more work is needed to fully understand and apply these innovative approaches to professional development.
Teacher Professional Development with a wow-factor: Innovative and emerging p...Riina Vuorikari
Presentation on emerging and innovative models of teacher professional development and other forms of professional learning. The study is conducted by the JRC, the European Commission.
Emerging, innovative practices of Teacher Professional development - How are ...Riina Vuorikari
Our study is descriptive and the 30 examples were chosen not because they are the best of all available ones, but because they exemplify well these new emergent features at a general level. Framework underpinning the analysis by Darling-Hammond et al., 2017. JRC will publish a report with 1-page descriptions of all 30 examples and first analysis of the main features (by end 2018)
The JRC report on Learning Analytics, 2017, gave a list of actions to policymakers. The panel input presents two national examples that follow the line of actions
Exploratory study:Is eTwinning a PD programmethat proves successful for sc...Riina Vuorikari
This presentation proposes ideas for exploratory digital trace data on eTwinning, focusing on better eTwinning Analytics; understanding the power of interventions (e.g. nudging; training workshops) and focusing on the causal link between eTwining and learning outcomes. The purpose of the slides is if for discussion.
Online chat: Tools for digitilising education institutions Riina Vuorikari
These slides are support material for an online chat taking place at the Open Education Portal on September 26 2017: https://www.openeducationeuropa.eu/en/live-discussion/26-september-join-our-discussion-tools-digitising-education-institutions
DigComp - Konferens om skolans digitalisering, 8 sep, StockholmRiina Vuorikari
The document discusses digital competence and the DigComp framework. It summarizes:
1) DigComp identifies and describes the key components of digital competence, including knowledge, skills, and attitudes. It provides a common European understanding and guidelines to support digital policies.
2) Research shows that young children are acquiring digital skills in a patchy, haphazard way through observing others and trial and error. Their skills are influenced by their family's skills and attitudes.
3) Tools like the DigComp framework and materials can help schools and teachers support students' development of digital competence from a young age in a balanced way.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
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Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
3. What's for teachers? Replies based on 45 European primary and secondary teachers participating the MELT project
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6. However In Journal of Computer Assisted Learning (JCAL), 24(4), 333-347 (2008)
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12. Learning resource Expert indexer added metadata (LOM) Users interact with resources: LOM and other annotations - social tags - ratings - sharable bookmarks & collections But it is not the whole story...
13. Learning resource Expert indexer added metadata (LOM) Users interact with resources: LOM and other annotations - social tags - ratings - sharable bookmarks & collections Connections!
27. social bookmarks Metadata LOM tags folksonomy social tagging multi-linguality social classification thanks ! for your attention learning resources user communities discover resources and items questions ? teachers social navigation social traces paths , trails flock