Practical Ontologies for Information Professionals

Practical Ontologies for Information Professionals

"Today more data and information are being produced and shared than ever before; data is streaming forth from new online social behaviours as well as high-specification digital tools and instruments. If we are to extract the maximum value from this data then we need to make use of the most appr...

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Bibliographic Details
Main Author: Stuart, David (Author)
Format: Manuscript Book
Language:English
Published: Chicago American Library Association 2016
Subjects:
Ontologies (Information retrieval)
Information retrieval.
Knowledge representation (Information theory)
Semantic networks (Information theory)
Information organization
Online Access:Click Here to View Status and Holdings.
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100 1 # |a Stuart, David  |e author 
245 0 0 |a Practical Ontologies for Information Professionals  |c DAVID STUART 
264 # 1 |a Chicago  |b American Library Association  |c 2016 
264 # 4 |c ©2016 
300 # # |a viii, 184 pages  |b illustrations  |c 24 cm 
336 # # |a text  |2 rdacontent 
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338 # # |a volume  |2 rdacarrier 
500 # # |a "First published in the United Kingdom by Facet Publishing, 2016"--Title page verso 
504 # # |a Includes bibliographical references and index 
505 0 # |a 1. What is an Ontology? The data deluge and information overload -- Defining terms -- Knowledge organization systems and ontologies -- Ontologies, metadata and linked data -- What can an ontology do? -- Ontologies and information professionals -- Alternatives to ontologies -- 2. Ontologies and the Semantic Web. The semantic web and linked data -- Resource Description Framework (RDF) -- Classes, subclasses and properties -- The semantic web stack -- Embedded RDF -- Alternative semantic visions -- Libraries and the semantic web -- Other cultural heritage institutions and the semantic web -- Other organizations and the semantic web -- 3. Existing Ontologies. Ontology documentation -- Ontologies for representing ontologies -- Ontologies for libraries -- Upper ontologies -- Cultural heritage data models -- Ontologies for the web -- 4. Adopting Ontologies. Reusing ontologies : application profiles and data models -- Identifying ontologies -- The ideal ontology discovery tool -- Selection criteria -- 5. Building Ontologies. Approaches to building an ontology -- The twelve steps -- Ontology development example : Bibliometric Metrics Ontology element set -- 6. Interrogating Ontologies. Interrogating ontologies for reuse -- Interrogating a knowledge base -- Understanding ontology use -- 7. The Future of Ontologies and the Information Professional. The future of ontologies for knowledge discovery -- The future role of library and information professionals -- The practical development of ontologies. 
520 # # |a "Today more data and information are being produced and shared than ever before; data is streaming forth from new online social behaviours as well as high-specification digital tools and instruments. If we are to extract the maximum value from this data then we need to make use of the most appropriate tools and technologies. Ontologies, formal representations of knowledge with rich semantic relationships, are one such tool, and the focus of this book 
650 # 0 |a Ontologies (Information retrieval) 
650 # 0 |a Information retrieval. 
650 # 0 |a Knowledge representation (Information theory) 
650 # 0 |a Semantic networks (Information theory) 
650 # 0 |a Information organization 
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