The document summarizes the Images Application Profile meeting held on October 29, 2007 in London. It discusses the development of the Scholarly Works Application Profile (SWAP), which aims to address issues with using simple Dublin Core metadata for interoperability by providing a richer metadata profile. It outlines the model, entities, properties, and functionality of SWAP, which is based on FRBR and uses Dublin Core terms to provide unambiguous identification, better searchability, and support for additional services. Widespread adoption by repositories and services is needed for SWAP to facilitate metadata exchange and discovery.
An introduction to a dublin core application profile for describing scholarly works. Presented at the JISC Repositories and Preservation Programme Meeting, 5th July 2007, London. Julie Allinson, Repositories Research Officer, UKOLN, University of Bath.
Data Models or Conceptual Schema are in fact small language definitions as they constrain the kinds of facts that can be stored/expressed in their resulting database. This is the cause of the huge data integration problems in information management. Instead of that data analysts should use a universal language and should build databases that allow for the expression of any fact in that language.
UNIT III MINING COMMUNITIES
Aggregating and reasoning with social network data, Advanced Representations - Extracting
evolution of Web Community from a Series of Web Archive - Detecting Communities in Social
Networks - Evaluating Communities – Core Methods for Community Detection & Mining Applications of Community Mining Algorithms - Node Classification in Social Networks.
Categorization of Semantic Roles for Dictionary DefinitionsAndre Freitas
Understanding the semantic relationships between terms is a fundamental task in natural language
processing applications. While structured resources that can express those relationships in
a formal way, such as ontologies, are still scarce, a large number of linguistic resources gathering
dictionary definitions is becoming available, but understanding the semantic structure of natural
language definitions is fundamental to make them useful in semantic interpretation tasks. Based
on an analysis of a subset of WordNet’s glosses, we propose a set of semantic roles that compose
the semantic structure of a dictionary definition, and show how they are related to the definition’s
syntactic configuration, identifying patterns that can be used in the development of information
extraction frameworks and semantic models.
Exploring Session Context using Distributed Representations of Queries and Re...Bhaskar Mitra
Search logs contain examples of frequently occurring patterns of user reformulations of queries. Intuitively, the reformulation "san francisco" → "san francisco 49ers" is semantically similar to "detroit" →"detroit lions". Likewise, "london"→"things to do in london" and "new york"→"new york tourist attractions" can also be considered similar transitions in intent. The reformulation "movies" → "new movies" and "york" → "new york", however, are clearly different despite the lexical similarities in the two reformulations. In this paper, we study the distributed representation of queries learnt by deep neural network models, such as the Convolutional Latent Semantic Model, and show that they can be used to represent query reformulations as vectors. These reformulation vectors exhibit favourable properties such as mapping semantically and syntactically similar query changes closer in the embedding space. Our work is motivated by the success of continuous space language models in capturing relationships between words and their meanings using offset vectors. We demonstrate a way to extend the same intuition to represent query reformulations.
Furthermore, we show that the distributed representations of queries and reformulations are both useful for modelling session context for query prediction tasks, such as for query auto-completion (QAC) ranking. Our empirical study demonstrates that short-term (session) history context features based on these two representations improves the mean reciprocal rank (MRR) for the QAC ranking task by more than 10% over a supervised ranker baseline. Our results also show that by using features based on both these representations together we achieve a better performance, than either of them individually.
Paper: http://research.microsoft.com/apps/pubs/default.aspx?id=244728
An introduction to a dublin core application profile for describing scholarly works. Presented at the JISC Repositories and Preservation Programme Meeting, 5th July 2007, London. Julie Allinson, Repositories Research Officer, UKOLN, University of Bath.
Data Models or Conceptual Schema are in fact small language definitions as they constrain the kinds of facts that can be stored/expressed in their resulting database. This is the cause of the huge data integration problems in information management. Instead of that data analysts should use a universal language and should build databases that allow for the expression of any fact in that language.
UNIT III MINING COMMUNITIES
Aggregating and reasoning with social network data, Advanced Representations - Extracting
evolution of Web Community from a Series of Web Archive - Detecting Communities in Social
Networks - Evaluating Communities – Core Methods for Community Detection & Mining Applications of Community Mining Algorithms - Node Classification in Social Networks.
Categorization of Semantic Roles for Dictionary DefinitionsAndre Freitas
Understanding the semantic relationships between terms is a fundamental task in natural language
processing applications. While structured resources that can express those relationships in
a formal way, such as ontologies, are still scarce, a large number of linguistic resources gathering
dictionary definitions is becoming available, but understanding the semantic structure of natural
language definitions is fundamental to make them useful in semantic interpretation tasks. Based
on an analysis of a subset of WordNet’s glosses, we propose a set of semantic roles that compose
the semantic structure of a dictionary definition, and show how they are related to the definition’s
syntactic configuration, identifying patterns that can be used in the development of information
extraction frameworks and semantic models.
Exploring Session Context using Distributed Representations of Queries and Re...Bhaskar Mitra
Search logs contain examples of frequently occurring patterns of user reformulations of queries. Intuitively, the reformulation "san francisco" → "san francisco 49ers" is semantically similar to "detroit" →"detroit lions". Likewise, "london"→"things to do in london" and "new york"→"new york tourist attractions" can also be considered similar transitions in intent. The reformulation "movies" → "new movies" and "york" → "new york", however, are clearly different despite the lexical similarities in the two reformulations. In this paper, we study the distributed representation of queries learnt by deep neural network models, such as the Convolutional Latent Semantic Model, and show that they can be used to represent query reformulations as vectors. These reformulation vectors exhibit favourable properties such as mapping semantically and syntactically similar query changes closer in the embedding space. Our work is motivated by the success of continuous space language models in capturing relationships between words and their meanings using offset vectors. We demonstrate a way to extend the same intuition to represent query reformulations.
Furthermore, we show that the distributed representations of queries and reformulations are both useful for modelling session context for query prediction tasks, such as for query auto-completion (QAC) ranking. Our empirical study demonstrates that short-term (session) history context features based on these two representations improves the mean reciprocal rank (MRR) for the QAC ranking task by more than 10% over a supervised ranker baseline. Our results also show that by using features based on both these representations together we achieve a better performance, than either of them individually.
Paper: http://research.microsoft.com/apps/pubs/default.aspx?id=244728
WCLOUDVIZ: Word Cloud Visualization of Indonesian News Articles Classificatio...TELKOMNIKA JOURNAL
Latent Dirichlet Allocation (LDA) is a widely implemented approach for extracting hidden topics in documents generated by soft clustering of a word based on document co-occurrence as a multinomial probability distribution over terms. Therefore, several visualizations have been developed, such as matrices design, text-based design, tree design, parallel coordinates, and force-directed graphs. Furthermore, based on a set of documents representing a class (category), we can implement classification task by comparing topic proportion for each class and topic proportion for the testing document by using Kullback-Leibler Divergence (KLD). Therefore, the purpose of this study is to develop a system for visualizing the output of LDA as a classification task. The visualization system consists of two parts: bar chart and dependent word cloud. The first visualization aims to show the trend of each category, while the second visualization aims to show the words that represent each selected category in a word cloud. This visualization is subsequently called WCloudViz. It provides clear, understandable and preferably shared the result.
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...Andrea Resmini
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources.
It aims to show how the widespread homogeneous and flat keywords' space created by users while tagging can be effectively mixed with a richer faceted classification scheme to improve the �information scent� and �berrypicking� capabilities of the system. The additional semantic structure is aggregated both implicitly observing user behaviour and explicitly introducing a compelling user experience that facilitates the end-user creation of relationships between tags.
FaceTag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications.
Explore detailed Topic Modeling via LDA Laten Dirichlet Allocation and their steps.
Thanks, for your time, if you enjoyed this short video there are tons of topics in advanced analytics, data science, and machine learning available in my medium repo. https://medium.com/@bobrupakroy
Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent semantic space. In traditional information retrieval models, on the other hand, terms have discrete or local representations, and the relevance of a document is determined by the exact matches of query terms in the body text. We hypothesize that matching with distributed representations complements matching with traditional local representations, and that a combination of the two is favourable. We propose a novel document ranking model composed of two separate deep neural networks, one that matches the query and the document using a local representation, and another that matches the query and the document using learned distributed representations. The two networks are jointly trained as part of a single neural network. We show that this combination or ‘duet’ performs significantly better than either neural network individually on a Web page ranking task, and significantly outperforms traditional baselines and other recently proposed models based on neural networks.
Detailed documented with the definition of text mining along with challenges, implementing modeling techniques, word cloud and much more.
Thanks, for your time, if you enjoyed this short video there are tons of topics in advanced analytics, data science, and machine learning available in my medium repo. https://medium.com/@bobrupakroy
7 trends to be aware of for learning spacesCyprien Lomas
I was asked to give a presentation for a Learning Spaces workshop for a new building going up at the University of Sydney. http://bit.ly/bbD533
My topic: elearning and IT in 2015/2020. My take: focus on the practices rather than the tech.
special thanks to Roland Tanglao for ideas in a similar conversation one week before.
WCLOUDVIZ: Word Cloud Visualization of Indonesian News Articles Classificatio...TELKOMNIKA JOURNAL
Latent Dirichlet Allocation (LDA) is a widely implemented approach for extracting hidden topics in documents generated by soft clustering of a word based on document co-occurrence as a multinomial probability distribution over terms. Therefore, several visualizations have been developed, such as matrices design, text-based design, tree design, parallel coordinates, and force-directed graphs. Furthermore, based on a set of documents representing a class (category), we can implement classification task by comparing topic proportion for each class and topic proportion for the testing document by using Kullback-Leibler Divergence (KLD). Therefore, the purpose of this study is to develop a system for visualizing the output of LDA as a classification task. The visualization system consists of two parts: bar chart and dependent word cloud. The first visualization aims to show the trend of each category, while the second visualization aims to show the words that represent each selected category in a word cloud. This visualization is subsequently called WCloudViz. It provides clear, understandable and preferably shared the result.
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...Andrea Resmini
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources.
It aims to show how the widespread homogeneous and flat keywords' space created by users while tagging can be effectively mixed with a richer faceted classification scheme to improve the �information scent� and �berrypicking� capabilities of the system. The additional semantic structure is aggregated both implicitly observing user behaviour and explicitly introducing a compelling user experience that facilitates the end-user creation of relationships between tags.
FaceTag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications.
Explore detailed Topic Modeling via LDA Laten Dirichlet Allocation and their steps.
Thanks, for your time, if you enjoyed this short video there are tons of topics in advanced analytics, data science, and machine learning available in my medium repo. https://medium.com/@bobrupakroy
Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent semantic space. In traditional information retrieval models, on the other hand, terms have discrete or local representations, and the relevance of a document is determined by the exact matches of query terms in the body text. We hypothesize that matching with distributed representations complements matching with traditional local representations, and that a combination of the two is favourable. We propose a novel document ranking model composed of two separate deep neural networks, one that matches the query and the document using a local representation, and another that matches the query and the document using learned distributed representations. The two networks are jointly trained as part of a single neural network. We show that this combination or ‘duet’ performs significantly better than either neural network individually on a Web page ranking task, and significantly outperforms traditional baselines and other recently proposed models based on neural networks.
Detailed documented with the definition of text mining along with challenges, implementing modeling techniques, word cloud and much more.
Thanks, for your time, if you enjoyed this short video there are tons of topics in advanced analytics, data science, and machine learning available in my medium repo. https://medium.com/@bobrupakroy
7 trends to be aware of for learning spacesCyprien Lomas
I was asked to give a presentation for a Learning Spaces workshop for a new building going up at the University of Sydney. http://bit.ly/bbD533
My topic: elearning and IT in 2015/2020. My take: focus on the practices rather than the tech.
special thanks to Roland Tanglao for ideas in a similar conversation one week before.
My first presentation back in May 2001. (ouch). This was at the WebCT conference in Vancouver. I guess I was talking about the same themes even back then :)
Radically Open Cultural Heritage Data on the WebJulie Allinson
What happens when tens of thousands of archival photos are shared with open licenses, then mashed up with geolocation data and current photos? Or when app developers can freely utilize information and images from millions of books? On this panel, we'll explore the fundamental elements of Linked Open Data and discover how rapidly growing access to metadata within the world's libraries, archives and museums is opening exciting new possibilities for understanding our past, and may help in predicting our future. Our panelists will look into the technological underpinnings of Linked Open Data, demonstrate use cases and applications, and consider the possibilities of such data for scholarly research, preservation, commercial interests, and the future of cultural heritage data.
SWORD : simple web service offering repository deposit; Open Repositories 2008, Southampton; Julie Allinson
This paper presents an overview of a JISC (Joint Information Systems Committee) activity to scope, define and develop a deposit specification for use across the repositories space, which has come to fruition within the SWORD (Simple Web service Offering Repository Deposit) project 1. It will look both at the background and how this piece of work came to pass, the movement from informal working group to funded project, the lightweight project construction and the resulting protocol and technical outputs. The paper will also consider the future of SWORD and look at some of the activity which has already galvanised around the project outputs.
The Eprints Application Profile: a FRBR approach to modelling repository meta...Julie Allinson
Julie Allinson, Pete Johnston and Andy Powell, UKOLN, University of Bath, present recent work on developing a Dublin Core Application Profile (DCAP) for describing "scholarly publications" (eprints). They will explain why the Dublin Core Abstract Model is well suited to creating descriptions based on entity-relational models such as the FRBR-based (Functional Requirements for Bibliographic Records) Eprints data model. The ePrints DCAP highlights the relational nature of the model underpinning Dublin Core and illustrates that the Dublin Core Abstract Model can support the representation of complex data describing multiple entities and their relationships.
A special session about using DC metadata to describe scholarly research papers held during the DC-2006 conference in Manzanillo, Mexico in October 2006.
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 January 18, 2010 to the ALCTS Committee on Cataloging: Description and Access (CC:DA) as an introduction to RDF data, and application profiles. Presenters were Jon Phipps, Karen Coyle and Diane Hillmann.
This is intended to be a two day workshop on RDA for individuals experienced with cataloging and MARC. This workshop will explore RDA with a specific focus on theories, practicalities, authority work, change highlights, and hands on cataloging. Formats covered will include monographs, serials, audio/visual materials, and online resources (integrating and monographs). The workshop will take the student through understanding the theories behind RDA and then cataloging by RDA standards.
The paper trail:steps towards a reference model for the metadata ecologyR. John Robertson
The paper trail: steps towards a reference model for the metadata ecology, presentation at ~CoLIS5 workshop. Presentation with Jane Barton. http://mwi.cdlr.strath.ac.uk/Colisworkshop.htm
Archiving- from June 2005.
please note this presentation is currently all rights reserved until i contact the other author.
SWORD (Simple Web-service Offering Repository Deposit) will take forward the Deposit protocol developed by a small working group as part of the JISC Digital Repositories Programme by implementing it as a lightweight web-service in four major repository software platforms: EPrints, DSpace, Fedora and IntraLibrary. The existing protocol documentation will be finalised by project partners and a prototype ‘smart deposit’ tool will be developed to facilitate easier and more effective population of repositories.
An introduction to repository reference modelsJulie Allinson
Presentation at CETIS Metadata and Digital Repositories SIG Meeting, 1st March 2006, HE Academy, York. Julie Allinson, Digital Repositories Support Officer, UKOLN, University of Bath
Rachel Heery, Julie Allinson, Jim Downing, Christopher Gutteridge and Martin Morrey, UKOLN, University of Bath, will update attendees on a three-year UK program that is developing repository infrastructure aimed at increasing open access to scholarly material, while improving management of assets in higher education institutions. This effort is designed to ensure that the emerging network of JISC (Joint Information Services Committee) Digital Repositories is well populated with content. They will present their work towards defining a lightweight Common Repository Deposit Service Description.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
SWAP : A Dublin Core Application Profile for desribing scholarly works
1. Images Application Profile meeting 29th October 2007, London Julie Allinson Digital Library Manager Library & Archives, University of York SWAP a Dublin Core application profile for describing scholarly works Produced for by the Eduserv Foundation and UKOLN
8. what do we need metadata to do? functional requirements
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10. what and why? the model, application profile and vocabularies
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13. the model in pictures ScholarlyWork Expression 0..∞ isExpressedAs Manifestation isManifestedAs 0..∞ Copy isAvailableAs 0..∞ isPublishedBy 0..∞ 0..∞ isEditedBy 0..∞ isCreatedBy 0..∞ isFundedBy isSupervisedBy AffiliatedInstitution Agent
14.
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17. example properties ScholarlyWork: title (dc) subject (dc) abstract (dcterms) affiliated institution (new) identifier (dc) funder (marc) grant number (new) has adaptation (new) Agent: name (foaf) type of agent (new) date of birth (foaf) mailbox (foaf) homepage (foaf) identifier (dc) Expression: title (dc) date available (dcterms) status (new) version number (new) language (dc) genre / type (dc) copyright holder (new) bibliographic citation (dc) identifier (dc) has version (new) has translation (new) Manifestation: format (dc) date modified (dcterms) Copy: date available (dcterms) access rights (dcterms) licence (dcterms) identifier (dc)
18. enough with the theory what does this actually mean for repositories?
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20. an example ‘ Signed metadata’ - a paper (the eprint as scholarly work) scholarly work (work) version (expression) format (manifestation) copy (item) pdf doc institutional repository copy pdf html publisher’s repository copy institutional repository copy published proceedings print copy author’s web site copy Version of Record (English) Author’s Original 1.0 … Author’s Original 1.1 Version of Record (Spanish) no digital copy available (metadata only) restricted access