The first comprehensive exploration of the development and use of the International Federation of Library Associations and Institutions' (IFLA) newly released model for subject authority data, covering everything from the rationale for creating the model to practical steps for implementing it. FRSAD: Conceptual Modeling of Aboutness explores the full dimensions of the IFLA's Functional Requirements for Subject Authority Data model, showing how putting the model to work can ease information sharing across systems, domains, and environments. Written by three leading members of the IFLA working…mehr
The first comprehensive exploration of the development and use of the International Federation of Library Associations and Institutions' (IFLA) newly released model for subject authority data, covering everything from the rationale for creating the model to practical steps for implementing it. FRSAD: Conceptual Modeling of Aboutness explores the full dimensions of the IFLA's Functional Requirements for Subject Authority Data model, showing how putting the model to work can ease information sharing across systems, domains, and environments. Written by three leading members of the IFLA working group that developed the model, FRSAD moves from the theoretical foundations of knowledge organization to a complete conceptual overview of the model, to specific working guidelines for its implementation. The book is filled with insights into the factors driving the model's development, as well as numerous illustrative examples of its practical applications in real-world settings. It also focuses on the benefits of using the model when developing knowledge organization systems (KOS) within the library domain and beyond.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Contents Chapter 1: Introduction References Chapter 2: Aboutness Aboutness: Overview Aboutness and Ofness Form, Genre, and Isness The Common Needs that Structured Vocabularies Serve References Chapter 3: Users and Use of Subject Authority Data Who Are the Users of Subject Authority Data? User Studies and Their Use of Subject Authority Data Use of Subject Authority Data by Vocabulary Creators Use of Subject Authority Data at the Creation and Maintenance of Data: Metadata Creators Use of Subject Authority Data when Searching for Data: End Users and Public Services Information Professionals Use of Subject Authority Data by Computer Applications FRSAD User Tasks The FIND Task The IDENTIFY Task The SELECT Task The EXPLORE Task References Chapter 4: Modeling Approaches of Aboutness Functional Requirements for Bibliographic Records (FRBR) Discussion Functional Requirements for Authority Records (FRAD) Discussion Examples of Other Modeling Approaches Ranganathan's Facets Information Coding Classification by Dahlberg Buizza and Guerrini FAST References Chapter 5: The FRSAD Model User Tasks Outline Entities Thema Nomen Relationships Basic Relationships between Entities Thema-to-Thema Relationships Nomen-to-Nomen Relationships Attributes Thema Attributes Nomen Attributes References Chapter 6: Formal Presentations of the FRSAD Model Recapitulation of FRSAD FRSAD in RDF References Chapter 7: Examples of Subject Authority Data Explained with the FRSAD Model Examples of Display Records from Knowledge Organization Systems Example: A Thema and Its Nomens in a Simple Controlled List from the PBCore instantiationColors Example: A Chemical Substance and Its Nomen-A Display Record from the USP Dictionary of U.S. Adopted Names and International Drug Names (USAN) Example: A Place as a Thema-A Display Record from the Getty Thesaurus of Geographic Names (TGN) Example: Taxonomy with Notations-An Extracted Section from the GAMS Problem Taxonomy Example: A Thesaurus Editing Tool View of a Record from the ASIS&T Thesaurus Example: A Multilingual Thesaurus Record from the Thesaurus Ethics in the Life Sciences Example: A Display Record (Expanded Concept View) from MeSH Explanations of FRSAD's Major Components with Examples Existing Models of Thema Types Thema-to- Thema Relationships Presented in Subject Authority Data in Individual Vocabularies Thema-to-Thema Relationships Crosswalked through Nomens in Multiple Knowledge Organization Systems Same Thema Represented by Nomens from Different Schemes References Chapter 8: Use of FRSAD for Knowledge Organization Structure Development and Interoperability FRSAD for Knowledge Organization Structure Development Implications of FRSAD for Various Knowledge Organization Structures FRSAD for Authority Data in General FRSAD for Meeting Multilingual and Multiple Community Needs FRSAD Model for Vocabulary Mapping Approach 1: Nomen-hosting System Approach 2: Thema -centered System The FRSAD Conceptual Model and Its Implementation in Data Models for Subject Authority Data SKOS and the Thema-Nomen Relationship Model SKOS eXtension for Labels (SKOS-XL) and Relationships of Nomens References Chapter 9: Concluding Remarks Reference Index
Contents Chapter 1: Introduction References Chapter 2: Aboutness Aboutness: Overview Aboutness and Ofness Form, Genre, and Isness The Common Needs that Structured Vocabularies Serve References Chapter 3: Users and Use of Subject Authority Data Who Are the Users of Subject Authority Data? User Studies and Their Use of Subject Authority Data Use of Subject Authority Data by Vocabulary Creators Use of Subject Authority Data at the Creation and Maintenance of Data: Metadata Creators Use of Subject Authority Data when Searching for Data: End Users and Public Services Information Professionals Use of Subject Authority Data by Computer Applications FRSAD User Tasks The FIND Task The IDENTIFY Task The SELECT Task The EXPLORE Task References Chapter 4: Modeling Approaches of Aboutness Functional Requirements for Bibliographic Records (FRBR) Discussion Functional Requirements for Authority Records (FRAD) Discussion Examples of Other Modeling Approaches Ranganathan's Facets Information Coding Classification by Dahlberg Buizza and Guerrini FAST References Chapter 5: The FRSAD Model User Tasks Outline Entities Thema Nomen Relationships Basic Relationships between Entities Thema-to-Thema Relationships Nomen-to-Nomen Relationships Attributes Thema Attributes Nomen Attributes References Chapter 6: Formal Presentations of the FRSAD Model Recapitulation of FRSAD FRSAD in RDF References Chapter 7: Examples of Subject Authority Data Explained with the FRSAD Model Examples of Display Records from Knowledge Organization Systems Example: A Thema and Its Nomens in a Simple Controlled List from the PBCore instantiationColors Example: A Chemical Substance and Its Nomen-A Display Record from the USP Dictionary of U.S. Adopted Names and International Drug Names (USAN) Example: A Place as a Thema-A Display Record from the Getty Thesaurus of Geographic Names (TGN) Example: Taxonomy with Notations-An Extracted Section from the GAMS Problem Taxonomy Example: A Thesaurus Editing Tool View of a Record from the ASIS&T Thesaurus Example: A Multilingual Thesaurus Record from the Thesaurus Ethics in the Life Sciences Example: A Display Record (Expanded Concept View) from MeSH Explanations of FRSAD's Major Components with Examples Existing Models of Thema Types Thema-to- Thema Relationships Presented in Subject Authority Data in Individual Vocabularies Thema-to-Thema Relationships Crosswalked through Nomens in Multiple Knowledge Organization Systems Same Thema Represented by Nomens from Different Schemes References Chapter 8: Use of FRSAD for Knowledge Organization Structure Development and Interoperability FRSAD for Knowledge Organization Structure Development Implications of FRSAD for Various Knowledge Organization Structures FRSAD for Authority Data in General FRSAD for Meeting Multilingual and Multiple Community Needs FRSAD Model for Vocabulary Mapping Approach 1: Nomen-hosting System Approach 2: Thema -centered System The FRSAD Conceptual Model and Its Implementation in Data Models for Subject Authority Data SKOS and the Thema-Nomen Relationship Model SKOS eXtension for Labels (SKOS-XL) and Relationships of Nomens References Chapter 9: Concluding Remarks Reference Index
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