The document provides an overview of metadata, including its definition, purpose, types and examples. It discusses metadata records and conceptual models like FRBR. It also covers approaches and standards towards metadata, including schemas like Dublin Core and approaches to ensure interoperability. Finally, it outlines the research landscape around metadata architecture, modeling and semantics and concludes with the importance of metadata in organizing digital information and enabling discovery.
This document discusses collaborative knowledge management using the SECI model framework. It introduces the SECI model, which represents the conversion of tacit and explicit knowledge through socialization, externalization, combination, and internalization. An integrated system is proposed that combines a learning management system and digital library with linked data to provide features supporting each SECI process, such as virtual learning spaces, social networks, and assessment tools. It concludes with a case study example of using the system to manage knowledge for a supply chain project.
This document discusses metadata harvesting tools. It defines metadata as "data about data" and explains that metadata harvesting is the process of gathering metadata from distributed repositories into a combined data store. The document outlines the need for metadata harvesting, including single platform discovery, easy sharing between libraries, and archiving. It provides examples of metadata harvesting services in India and tools used, and discusses considerations like metadata standards and library standards.
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.
This document discusses metadata trends, issues, and opportunities related to linked data. It begins by defining metadata as structured data that describes other data. It then covers different types and purposes of metadata, as well as common metadata schemas and standards. The document discusses challenges related to metadata quality, technical barriers, and system interoperability. However, it also outlines opportunities for metadata to enhance data discovery, sharing, and reuse across systems on the web. In the end, it recommends that libraries adopt linked data principles and develop ontologies to classify entities, properties, and values in order to become part of the linked data web.
Metadata Sharing Beyond Your InstitutionJenn Riley
This document discusses sharing metadata beyond an institution. It notes that metadata sharing benefits users by allowing one-stop searching of distributed collections and benefits institutions by increasing exposure of collections and broadening user bases. The document outlines different methods of metadata sharing like federated search and data aggregation. It stresses the importance of creating shareable metadata that is high quality, promotes search interoperability, and is understandable and useful outside its local context. The document provides guidance on planning metadata sharing workflows and transforming local metadata into shareable formats.
Union catalogandknowledge engineering for teldapAAT Taiwan
This document discusses the union catalog and knowledge engineering efforts of the TELDAP project. It outlines the development of metadata models and databases for different types of digital objects. It also describes plans to establish hyperlinks between content and objects by developing keyword extraction and automatic hyperlink tagging tools. The document concludes by discussing future plans to construct multilingual thesauri and develop knowledge-based retrieval systems to further enrich digital content.
Access Management for Libraries by John Paschoud & Masha GaribyanJISC.AM
This presentation explores the impact of the move towards federated access management on libraries, including a discussion of the Athens administrator role, changes to library processes and the impact on the end-user.
This document discusses collaborative knowledge management using the SECI model framework. It introduces the SECI model, which represents the conversion of tacit and explicit knowledge through socialization, externalization, combination, and internalization. An integrated system is proposed that combines a learning management system and digital library with linked data to provide features supporting each SECI process, such as virtual learning spaces, social networks, and assessment tools. It concludes with a case study example of using the system to manage knowledge for a supply chain project.
This document discusses metadata harvesting tools. It defines metadata as "data about data" and explains that metadata harvesting is the process of gathering metadata from distributed repositories into a combined data store. The document outlines the need for metadata harvesting, including single platform discovery, easy sharing between libraries, and archiving. It provides examples of metadata harvesting services in India and tools used, and discusses considerations like metadata standards and library standards.
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.
This document discusses metadata trends, issues, and opportunities related to linked data. It begins by defining metadata as structured data that describes other data. It then covers different types and purposes of metadata, as well as common metadata schemas and standards. The document discusses challenges related to metadata quality, technical barriers, and system interoperability. However, it also outlines opportunities for metadata to enhance data discovery, sharing, and reuse across systems on the web. In the end, it recommends that libraries adopt linked data principles and develop ontologies to classify entities, properties, and values in order to become part of the linked data web.
Metadata Sharing Beyond Your InstitutionJenn Riley
This document discusses sharing metadata beyond an institution. It notes that metadata sharing benefits users by allowing one-stop searching of distributed collections and benefits institutions by increasing exposure of collections and broadening user bases. The document outlines different methods of metadata sharing like federated search and data aggregation. It stresses the importance of creating shareable metadata that is high quality, promotes search interoperability, and is understandable and useful outside its local context. The document provides guidance on planning metadata sharing workflows and transforming local metadata into shareable formats.
Union catalogandknowledge engineering for teldapAAT Taiwan
This document discusses the union catalog and knowledge engineering efforts of the TELDAP project. It outlines the development of metadata models and databases for different types of digital objects. It also describes plans to establish hyperlinks between content and objects by developing keyword extraction and automatic hyperlink tagging tools. The document concludes by discussing future plans to construct multilingual thesauri and develop knowledge-based retrieval systems to further enrich digital content.
Access Management for Libraries by John Paschoud & Masha GaribyanJISC.AM
This presentation explores the impact of the move towards federated access management on libraries, including a discussion of the Athens administrator role, changes to library processes and the impact on the end-user.
The document provides an overview of the OAI-ORE (Object Reuse and Exchange) project, which aims to develop standards and protocols to facilitate discovery, linking, and reuse of compound digital objects across repositories. OAI-ORE complements OAI-PMH by allowing for richer descriptions of compound objects and relationships. Key concepts include modeling compound objects, their components and views as resources with defined boundaries and relationships. The OAI-ORE technical committee is defining use cases and a preliminary data model to represent these concepts and enable services like harvesting and obtaining compound object descriptions.
The document discusses conceptual data models and how they can be realized through ontologies and linked data on the semantic web. It describes how conceptual models provide a more semantic description of a problem domain compared to logical or physical data models. RDF, RDFS and OWL allow conceptual models to be exposed as linked data, providing globally unique identifiers and enabling natural navigation between interconnected data items. This overcomes issues with traditional logical/relational models such as impedance mismatch and loss of semantics during development.
The Learning Registry is an online platform that allows the educational community to publish and consume educational resources. It facilitates data exchange and collaboration between resource creators, educators, and users. Using the Learning Registry with Illinois Pathways could provide benefits like expanded access to trustworthy descriptive data on career and technical education resources, pooling contextual knowledge about such resources, and providing tools to analyze "big data" about resource usage.
This document discusses information retrieval systems and indexing processes. It describes the differences between IR systems and database management systems, as well as the basic indexing and boolean retrieval processes. Vector space, probabilistic, and cluster-based retrieval models are also introduced. The document provides details on indexing terms, inverted files, weighting formulas and automatic indexing. Relevance feedback techniques and performance measurement in IR are also summarized.
Faceted Navigation (LACASIS Fall Workshop 2005)Bradley Allen
Faceted navigation is a new software approach that provides an overview of available information using metadata properties or "facets". It goes beyond search by providing context and repeatability. While challenges remain around scale, algorithms, and usability, faceted navigation has the potential to significantly improve finding and discovering information when combined with Semantic Web standards like RDF.
Metadata is data that describes other data. It allows resources to be discovered, organized, and integrated. There are three main types of metadata: descriptive, structural, and administrative. Metadata makes resources searchable, cites their authors, and facilitates collaboration and reuse of information. It is key to ensuring access and preservation of digital resources over time. Common metadata schemes include Dublin Core, which specifies 15 core elements for describing resources.
http://wiki.knoesis.org/index.php/MaterialWays
http://www.knoesis.org/?q=research/semMat
http://wiki.knoesis.org/index.php/MaterialWays
Abstract
The sharing, discovery, and application of materials science and engineering data and documents are possible only if domain scientists are able and willing to do so. We need to overcome technological challenges such as the development of convenient computational tools and repositories conducive to easy exchange, curation, attribution, and analysis of data, and cultural challenges such as proper protection, control, and credit for sharing data. Our thesis and value proposition is that associating machine-processable semantics with materials science and engineering data and documents can provide a solid foundation for overcoming challenges associated with data discovery, integration, and interoperability caused by data heterogeneity. Specifically, easy to use and low upfront cost lightweight semantics in the form of file-level annotation can enable document discovery and sharing, while deeper data-level annotation using standardized ontologies can benefit semantic search and summarization. Machine processability achieved through fine-grained semantic annotation, extraction, and translation can enable data integration, interoperability and reasoning, ultimately leading to Linked Open Materials Science Data. Thus, a different granularity of semantics provides a continuum of cost/ease of use and expressiveness trade-off. In this presentation, we also show the application of semantic techniques for content extraction from materials and process specifications which are semi-structured and table-rich, and the application of semantic web techniques and technologies for materials vocabulary integration and curation (via semantic media wiki), semantic web visualization, efficient representation of provenance metadata and access control (via singleton property), and biomaterials information extraction
This document discusses web page classification using a rule-based system. It begins by introducing the problem of classifying the large amount of unstructured information on the web. It then discusses various approaches to web page classification, including text content-based categorization and link and content analysis. The document focuses on using a rule-based classifier to assign HTML documents to predefined categories by checking for occurrences of system rules in the HTML content. Finally, it discusses common machine learning algorithms that have been used for web page classification, such as association rule mining, naive Bayes, support vector machines, logistic regression, and decision trees. The goal of the proposed system is to enhance other web page classification systems by enabling online classification of web pages.
This document discusses metadata, which is structured data that describes and helps manage information resources. There are different types of metadata including descriptive, structural, and administrative. Metadata serves important functions like allowing resources to be discovered and organized. Several metadata standards are discussed, including Dublin Core, METS, MODS, EAD, and LOM. The document also covers metadata creation, quality issues, and ways metadata can be improved.
Speakers: Laurie Kaplan, ProQuest; Nettie Lagace, NISO. This program provides an update on several NISO projects potentially of interest to serials librarians, including PIE-J (Presentation and Identification of E-Journals), ODI (Open Discovery Initiative), KBART (KnowledgeBases and Related Tools), and OAMI (Open Access Metadata and Indicators). The projects are at different stages in their creation, publication and revision lifecycles, but all require community understanding and input. Participants will receive practical information on how the initiatives affect their daily work and how their experiences can shape the creation and uptake of consensus-based community standards in the library and information industry.
On The Automated Classification of Web Pages Using Artificial Neural NetworkIOSR Journals
This document discusses using artificial neural networks (ANN) for automated classification of web pages. It proposes a novel approach that uses HTML information from web pages, such as meta-tags and titles, rather than just textual content. Existing methods of web page classification are discussed, including using support vector machines, naive Bayes trees, and decision trees. The document also provides background on types of web page classification problems and compares different machine learning algorithms that have been used for classification, such as naive Bayes models and decision trees. It then introduces the proposed approach of using ANN for multi-class web page classification into predefined categories based on HTML element information.
This document summarizes previous work on content extraction from web pages and proposes a new approach. It discusses existing methods that use techniques like entropy analysis, DOM trees, clustering, and ratios of text, links and tags. The proposed approach combines word to leaf ratio with text link ratio and link text ratio to identify informative nodes in the DOM tree. It calculates weights and relative positions of nodes to select the most informative content. The method will be tested on different website types and compared to existing approaches.
Successful Content Management Through Taxonomy And Metadata Designsarakirsten
The document discusses taxonomy and metadata design for content management. It defines taxonomy and metadata, and explains how taxonomies can provide structure to unstructured information and enable findability. It discusses different types of taxonomies including traditional vs. business taxonomies. The document outlines best practices for taxonomy design such as defining use cases, audience, and governance as well as controlling depth and breadth. It proposes a workshop concept to develop taxonomies through identifying topics, verbs, nouns, and creating a starter taxonomy.
This document discusses taxonomies, metadata, and how they work together. It defines taxonomy as a hierarchical classification system and metadata as data that describes other data. Taxonomies facilitate organization, discovery, and retrieval of resources, while metadata supports identification and management. Both taxonomies and metadata can evolve over time through standards development and user contributions. When used together, taxonomies provide a classification structure and metadata describes resources within that structure.
This document discusses several topics that will drive the future of digital libraries, including data management plans, data citation, curation service models, sustainability, training data practitioners, and more. Specific issues covered include scientific data support, data identifiers, curation best practices, cost models, educating librarians in data management, and the role of digital libraries in enabling reproducible science through 2050.
This presentation was provided by Kevin Cohn of Atypon Systems, Inc., during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
Presentación del Dr. Getaneh Alemu (Solent University, Reino Unido), en el II Congreso de Información, Comunicación e Investigación (CICI 2018) “Metadatos y Organización de la Información”. Facultad de Filosofía y Letras de la Universidad Autónoma de Chihuahua, México. Evento organizado por el Cuerpo Académico 'Estudios de la Información' y el Grupo Disciplinar ‘Información, Lenguaje, Comunicación y Desarrollo Sostenible’. 29 de octubre de 2018.
Learning Resource Metadata Initiative: Vocabulary Development Best PracticesMike Linksvayer
This document discusses best practices for developing learning resource metadata vocabularies based on guidelines from the Dublin Core Metadata Initiative. It recommends defining clear use cases, selecting an appropriate domain model, reviewing existing vocabularies to reuse terms, designing detailed metadata records, providing usage guidelines, and engaging relevant communities to ensure long-term stewardship of the vocabulary. The Learning Resource Metadata Initiative (LRMI) could benefit from following these best practices in its development.
The document provides an overview of the OAI-ORE (Object Reuse and Exchange) project, which aims to develop standards and protocols to facilitate discovery, linking, and reuse of compound digital objects across repositories. OAI-ORE complements OAI-PMH by allowing for richer descriptions of compound objects and relationships. Key concepts include modeling compound objects, their components and views as resources with defined boundaries and relationships. The OAI-ORE technical committee is defining use cases and a preliminary data model to represent these concepts and enable services like harvesting and obtaining compound object descriptions.
The document discusses conceptual data models and how they can be realized through ontologies and linked data on the semantic web. It describes how conceptual models provide a more semantic description of a problem domain compared to logical or physical data models. RDF, RDFS and OWL allow conceptual models to be exposed as linked data, providing globally unique identifiers and enabling natural navigation between interconnected data items. This overcomes issues with traditional logical/relational models such as impedance mismatch and loss of semantics during development.
The Learning Registry is an online platform that allows the educational community to publish and consume educational resources. It facilitates data exchange and collaboration between resource creators, educators, and users. Using the Learning Registry with Illinois Pathways could provide benefits like expanded access to trustworthy descriptive data on career and technical education resources, pooling contextual knowledge about such resources, and providing tools to analyze "big data" about resource usage.
This document discusses information retrieval systems and indexing processes. It describes the differences between IR systems and database management systems, as well as the basic indexing and boolean retrieval processes. Vector space, probabilistic, and cluster-based retrieval models are also introduced. The document provides details on indexing terms, inverted files, weighting formulas and automatic indexing. Relevance feedback techniques and performance measurement in IR are also summarized.
Faceted Navigation (LACASIS Fall Workshop 2005)Bradley Allen
Faceted navigation is a new software approach that provides an overview of available information using metadata properties or "facets". It goes beyond search by providing context and repeatability. While challenges remain around scale, algorithms, and usability, faceted navigation has the potential to significantly improve finding and discovering information when combined with Semantic Web standards like RDF.
Metadata is data that describes other data. It allows resources to be discovered, organized, and integrated. There are three main types of metadata: descriptive, structural, and administrative. Metadata makes resources searchable, cites their authors, and facilitates collaboration and reuse of information. It is key to ensuring access and preservation of digital resources over time. Common metadata schemes include Dublin Core, which specifies 15 core elements for describing resources.
http://wiki.knoesis.org/index.php/MaterialWays
http://www.knoesis.org/?q=research/semMat
http://wiki.knoesis.org/index.php/MaterialWays
Abstract
The sharing, discovery, and application of materials science and engineering data and documents are possible only if domain scientists are able and willing to do so. We need to overcome technological challenges such as the development of convenient computational tools and repositories conducive to easy exchange, curation, attribution, and analysis of data, and cultural challenges such as proper protection, control, and credit for sharing data. Our thesis and value proposition is that associating machine-processable semantics with materials science and engineering data and documents can provide a solid foundation for overcoming challenges associated with data discovery, integration, and interoperability caused by data heterogeneity. Specifically, easy to use and low upfront cost lightweight semantics in the form of file-level annotation can enable document discovery and sharing, while deeper data-level annotation using standardized ontologies can benefit semantic search and summarization. Machine processability achieved through fine-grained semantic annotation, extraction, and translation can enable data integration, interoperability and reasoning, ultimately leading to Linked Open Materials Science Data. Thus, a different granularity of semantics provides a continuum of cost/ease of use and expressiveness trade-off. In this presentation, we also show the application of semantic techniques for content extraction from materials and process specifications which are semi-structured and table-rich, and the application of semantic web techniques and technologies for materials vocabulary integration and curation (via semantic media wiki), semantic web visualization, efficient representation of provenance metadata and access control (via singleton property), and biomaterials information extraction
This document discusses web page classification using a rule-based system. It begins by introducing the problem of classifying the large amount of unstructured information on the web. It then discusses various approaches to web page classification, including text content-based categorization and link and content analysis. The document focuses on using a rule-based classifier to assign HTML documents to predefined categories by checking for occurrences of system rules in the HTML content. Finally, it discusses common machine learning algorithms that have been used for web page classification, such as association rule mining, naive Bayes, support vector machines, logistic regression, and decision trees. The goal of the proposed system is to enhance other web page classification systems by enabling online classification of web pages.
This document discusses metadata, which is structured data that describes and helps manage information resources. There are different types of metadata including descriptive, structural, and administrative. Metadata serves important functions like allowing resources to be discovered and organized. Several metadata standards are discussed, including Dublin Core, METS, MODS, EAD, and LOM. The document also covers metadata creation, quality issues, and ways metadata can be improved.
Speakers: Laurie Kaplan, ProQuest; Nettie Lagace, NISO. This program provides an update on several NISO projects potentially of interest to serials librarians, including PIE-J (Presentation and Identification of E-Journals), ODI (Open Discovery Initiative), KBART (KnowledgeBases and Related Tools), and OAMI (Open Access Metadata and Indicators). The projects are at different stages in their creation, publication and revision lifecycles, but all require community understanding and input. Participants will receive practical information on how the initiatives affect their daily work and how their experiences can shape the creation and uptake of consensus-based community standards in the library and information industry.
On The Automated Classification of Web Pages Using Artificial Neural NetworkIOSR Journals
This document discusses using artificial neural networks (ANN) for automated classification of web pages. It proposes a novel approach that uses HTML information from web pages, such as meta-tags and titles, rather than just textual content. Existing methods of web page classification are discussed, including using support vector machines, naive Bayes trees, and decision trees. The document also provides background on types of web page classification problems and compares different machine learning algorithms that have been used for classification, such as naive Bayes models and decision trees. It then introduces the proposed approach of using ANN for multi-class web page classification into predefined categories based on HTML element information.
This document summarizes previous work on content extraction from web pages and proposes a new approach. It discusses existing methods that use techniques like entropy analysis, DOM trees, clustering, and ratios of text, links and tags. The proposed approach combines word to leaf ratio with text link ratio and link text ratio to identify informative nodes in the DOM tree. It calculates weights and relative positions of nodes to select the most informative content. The method will be tested on different website types and compared to existing approaches.
Successful Content Management Through Taxonomy And Metadata Designsarakirsten
The document discusses taxonomy and metadata design for content management. It defines taxonomy and metadata, and explains how taxonomies can provide structure to unstructured information and enable findability. It discusses different types of taxonomies including traditional vs. business taxonomies. The document outlines best practices for taxonomy design such as defining use cases, audience, and governance as well as controlling depth and breadth. It proposes a workshop concept to develop taxonomies through identifying topics, verbs, nouns, and creating a starter taxonomy.
This document discusses taxonomies, metadata, and how they work together. It defines taxonomy as a hierarchical classification system and metadata as data that describes other data. Taxonomies facilitate organization, discovery, and retrieval of resources, while metadata supports identification and management. Both taxonomies and metadata can evolve over time through standards development and user contributions. When used together, taxonomies provide a classification structure and metadata describes resources within that structure.
This document discusses several topics that will drive the future of digital libraries, including data management plans, data citation, curation service models, sustainability, training data practitioners, and more. Specific issues covered include scientific data support, data identifiers, curation best practices, cost models, educating librarians in data management, and the role of digital libraries in enabling reproducible science through 2050.
This presentation was provided by Kevin Cohn of Atypon Systems, Inc., during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
Presentación del Dr. Getaneh Alemu (Solent University, Reino Unido), en el II Congreso de Información, Comunicación e Investigación (CICI 2018) “Metadatos y Organización de la Información”. Facultad de Filosofía y Letras de la Universidad Autónoma de Chihuahua, México. Evento organizado por el Cuerpo Académico 'Estudios de la Información' y el Grupo Disciplinar ‘Información, Lenguaje, Comunicación y Desarrollo Sostenible’. 29 de octubre de 2018.
Learning Resource Metadata Initiative: Vocabulary Development Best PracticesMike Linksvayer
This document discusses best practices for developing learning resource metadata vocabularies based on guidelines from the Dublin Core Metadata Initiative. It recommends defining clear use cases, selecting an appropriate domain model, reviewing existing vocabularies to reuse terms, designing detailed metadata records, providing usage guidelines, and engaging relevant communities to ensure long-term stewardship of the vocabulary. The Learning Resource Metadata Initiative (LRMI) could benefit from following these best practices in its development.
This document discusses collaborative knowledge management using the SECI model framework. It introduces the SECI model, which represents the conversion of tacit and explicit knowledge through socialization, externalization, combination, and internalization. An integrated system is proposed that combines a learning management system and digital library with linked data to provide features supporting each SECI process, such as virtual learning spaces, social networks, and assessment tools. It concludes with a case study example of using the system to manage knowledge for a supply chain project.
Brief overview of linked data, RDA, FRBR, big data and sharing data ; discussion followed (based on Alastair Croll's presentation at ALA). robin fay @georgiawebgurl ; peter murray (lyrasis)
This presentation was provided by Carolyn Hansen of the University of Cincinnati during the NISO Training Thursday event, Metadata and the IR, held on Thursday, February 23, 2017.
This presentation was given by Michael Lauruhn of Elsevier Labs during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
Describing Theses and Dissertations Using Schema.orgOCLC
This document summarizes a project that developed an extension of the Schema.org vocabulary to better describe theses, dissertations, and other materials in institutional repositories. The project team modeled repository entities, academic departments, and relationships between classes. They published example RDF data and loaded all records from a university repository as RDF descriptions. Their work aims to make repository content more visible to search engines and help libraries demonstrate their value on the semantic web.
NISO access related projects (presented at the Charleston conference 2016)Christine Stohn
Presentation by Pascal Calarco (University of Windsor), Christine Stohn (Ex Libris/ProQuest), John G. Dove (Paloma Associates), covering NISO D2D work, ResourceSync, KBART and KBART automation, ODI (Open Discovery Initiative), Link origin tracking, ALI (Access and License Indicators), and a discussion around improvements and challenges for open access discovery
This document summarizes a session from the Force 11 Scholarly Communications Institute Summer School on data discovery. The session covered metadata, including what it is, types of metadata, and standards. It discussed how people search for and find data through various sources. The session also explored the FAIR data principles of findable, accessible, interoperable and reusable data and had breakout groups discuss applying these principles in practice.
Opening up MOOCs for OER management on the Web of linked dataGilbert Paquette
This document discusses managing open educational resources (OERs) using linked data and the semantic web. It proposes using the Resource Description Framework (RDF) model to address issues with OER adoption like the multiplicity of standards and profiles. COMÈTE, an OER repository manager developed by the author, uses RDF triples and complies with the ISO metadata standard to enable searching and indexing OERs across repositories. The author argues this approach could help personalize massive open online courses (MOOCs) by allowing learners to integrate alternative resources from OER repositories into their courses.
UKOLN supports repositories and provides repository infrastructure support through several JISC-funded projects. It has developed a Dublin Core Application Profile for Scholarly Works that defines a richer metadata model based on FRBR and expresses it using Dublin Core. This profile aims to provide consistent, unambiguous metadata to enable added-value services for repositories. UKOLN is working to promote community adoption of the profile.
SPSNH15 - We Need to Talk: How to Converse with Regular People About Managing...Jonathan Ralton
Jonathan Ralton gave a presentation on how to effectively communicate with non-technical users about managing content in SharePoint. He discussed the challenges of explaining technical concepts in plain language. Ralton emphasized listening to users, understanding their needs, and translating those needs into an architectural plan using concepts like content types, metadata, and taxonomy. He provided examples of how to discuss content management without using technical jargon and stressed an iterative process of discovery.
This document provides an overview of a database management systems course. The course objectives are to understand the purpose and concepts of DBMS, apply database design and languages to manage data, learn about normalization, SQL implementation, transaction control, recovery strategies, storage, and indexing. The outcomes are knowledge of various data models, database design process, transaction management, users and administration. Key topics covered include the relational and entity-relationship data models, database design, transactions, and database users and administration.
This document provides an overview and tutorial on Dublin Core metadata. It begins with an introduction to basic principles of metadata, including that metadata is structured data about other data that helps impose order and enable discovery. It then discusses Dublin Core metadata basics, including its design philosophy and characteristics. The document outlines the Dublin Core abstract model and syntax alternatives, and covers principles like using one statement per resource and context appropriate values.
Alphabet soup: CDM, VRA, CCO, METS, MODS, RDF - Why Metadata MattersNew York University
This presentation given to University of Iowa Libraries on Nov. 17, 2014, discussing 1) the alphabet soup of metadata standards, e.g. CDM, VRA, CCO, METS, MODS, RDF, including sample tagging and their applications for digital libraries, and 2) why metadata matters. It does not address metadata issues and tools for metadata creation, extraction, transformation, quality control, syndication and ingest.
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.`Shweta Bhavsar
This document discusses metadata standards and provides details on Dublin Core. It defines metadata as "structured data about data" and explains its role in digital resource management. It outlines different types of metadata standards including descriptive, structural, and administrative. Dublin Core is introduced as a general metadata standard consisting of 15 elements used to describe resources. It was developed in 1995 to make it easy to discover web resources by providing a simple yet flexible set of elements for description. The document provides details on the development and governance of Dublin Core as well as its two forms: simple Dublin Core with 15 elements, and qualified Dublin Core which includes additional elements and properties.
Similar to METADATA: A PRACTICE AND ITS SERVICES TOWARDS DIGITAL ENVIRONMENT (20)
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.
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.
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
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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
9
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.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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2. SECTIONS SPEAKERS
Introduction and Overview Sumanta Bag
Metadata records and conceptual model Kaustav Saha
Approaches and standards towards metadata Debashis Naskar
Interoperability & Services towards Digital Environment Vikas Bhushan
Research landscape and Conclusion Sayon Roy
4/1/2015
3. INTRODUCTION
• What is Resource
• Introduction to Metadata
– Definition
– Examples
• Purpose of Metadata
• Usage of Metadata
• Types of Metadata
4/1/2015
4. What is resource?
• Resource is something that can be identified, the
identification having two distinct purposes,viz., naming
and addressing the resources.
4/1/2015
5. What is Metadata ?
• Metadata is a piece of information describing a resource.
(Resources include books, websites, Maps, Videos, etc.).
• It represents the who, what, when, where, why, and how of a
resource.
• Structured data about something which are text, images, sound,
movement, objects ,events, services etc.
4/1/2015
6. Example of Metadata [cont..]
• Label on a product giving details of the product
E.g. actual contents of a food product; Protein and vitamins
content; calories, etc.
entity
attributes
4/1/2015
7. Example of metadata [cont..]
commons.wikimedia.org/wiki/File: Medicine_bottles.jpg4/1/2015
8. Metadata for an Image
4/1/2015
http://www.webopedia.com/DidYouKnow/Computer_Science/2007/metadata.asp
9. Metadata uses in library and publishing documents
Metadata have been used in a variety of applications, such as:
• Libraries
• Database publishing
• Dictionary and encyclopedia publishing
• Book publishing
4/1/2015
10. WHY DO WE NEED METADATA?
• Understanding the content
• Information search and Retrieval
• Sharing
• Processing
• Management
- Preservation
4/1/2015
14. Metadata Record
• In the context of libraries, archives and bibliographic agencies:
Catalogue record / Bibliographic Record
A record providing a description of a document and is made accessible / searchable
under several access points
• Authority records
15. Function of Metadata Records
• Two major purposes:
Resource Discovery
-Identification
- Collocation
House Keeping
• Resource discovery encompasses the following user tasks:
– Find
– Identity
– Select
– Obtain
16. FRBR Model
• FRBR is a conceptual model
• Entities-Group 1, Group 2, Group 3
• The entity relationship model is generalized way to look at the bibliographic
universe.
• Conceptual model are useful as the basis development of next generation cataloguing
rules
18. FRBR Model [Group 1]
Intellectual/ artistic content
Physical Recording
Of content
Expression
WORK
Manifestation
Item
Is realized through
Is exmplified by
Is embodied
In a
19. FRBR Model [Group 2]
WORK
EXPRESSION
MANIFESTATION
ITEM
PERSON
CORPORATE BODY
Is owned by
Is produced by
Is realized by
is created by
20. FRBR Model [Group 3]
• The entities in the third group represent an additional set of
entities that serve as the subjects of works.
• The group includes:
– Concept
– Object
– Event
– Place
21. Bibliographic relationship
• Relationship between different manifestations of work
• Relationship between a work and a translation or adaptation of the work
• Relationship between different works that are associated with the same person/ body
23. Approaches of Metadata
Traditional Automated Dig. Library
AACR2/CCC/CC/
LCCS/DDC/LCSH
AACR2/ISO 2709/
CCF/MARC
Metadata/DCMI/
EAD/METS/
MODS/MARC21
4/1/2015
24. Metadata Schema
• Metadata schema to choose from and
the number is growing rapidly.
• Metadata schemes describing a
particular type of information resource.
• Metadata can be encoded in any
definable syntax.
4/1/2015
25. Different Metadata Schema
• General Purpose
-Dublin Core, MODS
• Cultural Objects and Visual Resources
-VRA Core
• Educational Resources
-IEEE LOM
• Archival and Presentation Metadata
-EAD
• Government Purpose Metadata
- e-GMS
• Multimedia Objects
-MPEG-7
4/1/2015
26. What is Dublin Core
Introduction
-Set of Vocabulary terms
-Set of Metadata Elements
http://blogs.microsoft.co.il/blogs/itaysk/dublin_thumb_1E0094AA.png
4/1/2015
27. Dublin Core Elements
Dublin Core
Content Intellectual Property Instantiation
Title
Description
Type
Subject
Source
Relation
Coverage
Creator
Publisher
Rights
Contributor
Date
Format
Identifier
language
4/1/2015
28. Example of the book(Contd.)
<meta name = “DC.Title” content = “Khazana of Healthy Tasty Recipes”>
<meta name = “DC.Creator” content = “Kapoor, Sanjeev”>
<meta name = “DC.Subject” Scheme =”ddc” content = “641.50321”>
<meta name = “DC.Description” content = “In this book author represents
to make Indian food popular with everyone and also describe dietary and
health guidelines”>
<meta name = “DC.Publisher” content = “Popular Prakashan”>
<meta name = “DC.Contributor” content = “Kapoor, Alyona”>
4/1/2015
29. Example of the book
<meta name = “DC.Date.Created” content = “2000”>
<meta name = “DC.Type” content = “Book”>
<meta name = “DC.Format” content = “text”>
<meta name = “DC.Identifier” Scheme = “ISBN” content = “978-81-7154-671-8”>
<meta name = “DC.Language” content = “english”>
<meta name = “DC.Coverage” content = “India,Chinese,Italian and Thai ”>
4/1/2015
http://cdn.shopify.com/s/files/1/0106/6232/products/sk_healthy_tasty_large.jpg?27
30. A Simple Approach To Validation
Use of DC-dot
4/1/2015
http://www.emeraldinsight.com/content_images/fig/1640170201002.png
32. Interoperability
“Interoperability is the ability of multiple systems with different hardware
and software platforms, data structures, and interfaces to exchange data
with minimal loss of content and functionality”
-(NISO, 2004:2)
Image Source: http://www.niso.org/home/
4/1/2015
33. Interoperability at the Schema Level
Derivation: A new schema is derived from an existing one.
Application Profiles (Aps) : It is created based on one single schema but
tailored to different user communities.eg DC- Library Application profile
Frameworks: It can be considered a skeleton upon which various objects
are integrated for any given solution.
Crosswalks : It is “a mapping of the elements, semantics, and syntax from
one metadata scheme to those of another”.
4/1/2015
34. Pictorial view of Schema Derivation & Framework
4/1/2015
Image Source : www.dlib.org
Example of Schema Derivation
A Framework & the Schemas associated with the Framework
35. Crosswalks
1. Direct crosswalking : Applied when only two (or a limited number of )
schemas are involved.
2. Cross-switching : Applied to a situation in which multiple schemas are
involved.
4/1/2015
40. Metadata Services
Metadata Services include the common types listed here.
• Metadata registries
• Metadata repositories
• Metadata development and production services
4/1/2015
41. Metadata Harvesting Services in India
Sr.
No.
Name URL Host Software
used
1 Search Digital Libraries (SDL) http://drtc.isibang.ac.in/sdl DRTC,
Bangalore
PKP System
2 SJPI Cross Journal Search Service http://144.16.72.144/harvester/ NCSI, IISc PKP System
3 SEED http://eprint.iitd.ac.in/seed/ IIT, Delhi PKP System
4 Open J-Gate www.openj-gate.com/ Informatics
India Ltd.
------
5 Knowledge
Harvester@INSA
http://61.16.154.195/harvester/ INSA PKP System
4/1/2015
43. Metadata Research Landscape
• Research in Metadata Architecture
• Research in Metadata Modeling
• Research in Metadata Semantics
4/1/2015
44. Research in Metadata Architecture
• The term metadata architecture first appeared in Berners-Lee’s article on
the axioms of Web architecture
• His view “The architecture is of metadata represented as a set of
independent assertions”
(Berners-Lee, 1997)
4/1/2015
45. Research in Metadata Architecture
• Berners-Lee’s view on metadata architecture represents a computer
science perspective in which data are encoded in machine-processable
form and communicated via protocols.
• Research in metadata architecture in the past decade was divided into
two paradigms:
Paradigm of processability
Paradigm of executability
4/1/2015
46. Research in Metadata modeling
• Metadata models constitute just one of the many frontiers of research in
recent years. In addition to the abstract models developed by the
metadata community
• E.g., Dublin Core Abstract Model (DCAB), CDWA and CCO entity
relationship model, and the FRBR conceptual model researchers have
used varying approaches to analyze domains and seek effective ways to
build metadata models. These approaches can be divided into broad
categories:
Element-based expansion
Ontological modeling
4/1/2015
47. Research in Metadata Semantics
• Metadata semantics is not simply a technical issue concerned about
element definition or controlled vocabulary.
• Community tagging, social bookmarking, or any form of social
semantics raises a great challenge to the authority and effectiveness of
controlled semantics as represented by subject heading lists, thesauri,
classification schemes, and taxonomies.
4/1/2015
48. Conclusion
• According to Kennedy and Schauder, “Metadata are a description or profile of a
document or other information object.
• As the repositories as well as information and communication technology come
together to make the information age a reality, it is important to understand the
critical roles that can be played by metadata in the development of effective
authoritative, interoperable, scalable and preservative cultural heritage
information and record keeping system.
• With the emergence of web as a data warehouse, metadata has heightened in
importance. Without metadata, web storage is just an ocean of poorly catalogued
material.
• As even after considering universal protocol for data exchange with different
DL’s there is need for standards for metadata, although Dublin Core has been
proposed for its simplicity and popularity. Hence , one would anticipate the
emergence of generalized protocol.
• Metadata development has shaped a number of distinctive-yet related- research
fields in just over a decade. A large and growing portion of metadata development
is the result of the continuous pursuit for more effective organization, retrieval,
and management of digital information
4/1/2015
49. References
• www.niso.org/standards/resources/UnderstandingMetadata.pdf
• dublincore.org/metadata-basics/
• Krishnamurty M and Manjunath (2013). Metadata Standard: A Perspective; ILA
Conference, 906-914
• eprints.rclis.org/15829/
• kmr.nada.kth.se/papers/SemanticWeb/FutureOfLOMI.pdf
• www.jiscdigitalmedia.ac.uk/guide/metadata-standards-and-interoperability
• www.openarchives.org/pmh/
• www.ands.org.au › ANDS Guides › Content Providers Guid
• Zeng, M.L and Qin, J (2008) Metadata, Neal Schuman publishers,268-297.
• Amin S(2003) Introduction to OAI-PMH; 203-09
4/1/2015