Finding the Concept, Not Just the Word

Informationen zum Autor Brandy King is the Information Specialist at the Center on Media and Child Health at Children's Hospital Boston. She is a graduate of Smith College (B.A.) and Simmons College (M.L.I.S.). She is an active member of the Special Libraries Association! and was the recipient of the 2005 SLA Innovation in Technology Award for the creation of a customized media effects ontology used for semantic searching. Kathy Reinold is a software consultant for Tessella! Inc. She is a graduate of Emmanuel College (B.A. Mathematics) and Boston Unviersity (M.S. Computer Science). She is also a Springboard Enterprises alumna! a member of Women Entrepreneurs in Science and Technology! and a member of the Association of Computing Machinery. Ms Reinold has extensive experience in software development and methodologies including work on ontologies and semantic search. Klappentext Aimed at students and professionals within Library and Information Services! this book is about the power and potential of ontologies to enhance the electronic search process. The text compares search strategies and results in the current search environment and demonstrates how these could be transformed using ontologies and concept searching. ."..within its pages are some extremely important ideas." -Library Review ."..an excellent, well written summation of the concepts and the technology involved. ...an extensive list of additional resources." -The Electronic Library Zusammenfassung Aimed at students and professionals Finding the Concept! Not Just the Word is about the power and potential of ontologies to enhance the electronic search process. The book will compare search strategies and results in the current search environment and demonstrate how these could be transformed using ontologies and concept searching. Inhaltsverzeichnis How we currently search - text matching instead of concept matching; examples of why this fails and where it falls short How we could search - concept matching instead of text matching; visions of the semantic web; what this could accomplish What is an ontology? - definitions; explanation using stages (dictionary; thesaurus; taxonomy; ontology); examples using everyday terms and relationships; examples of more specialized ontologies (UMLS from NLM! CMCH ontology - why it was needed! how it was built! how using it with semantic search compares to Boolean search); other ontologies; Software available for ontology building - advantages; limitations; Future of ontologies - near future; distant future; what's needed to make these changes happen. ...

Autorentext
Ms. King is the Information Specialist at the Center on Media and Child Health at Children's Hospital Boston. She is a graduate of Smith College (B.A.) and Simmons College (M.L.I.S.). She is an active member of the Special Libraries Association, and was the recipient of the 2005 SLA Innovation in Technology Award for the creation of a customized media effects ontology used for semantic searching.

Klappentext
Aimed at students and professionals within Library and Information Services, this book is about the power and potential of ontologies to enhance the electronic search process. The text compares search strategies and results in the current search environment and demonstrates how these could be transformed using ontologies and concept searching.

Zusammenfassung
Aimed at students and professionals Finding the Concept, Not Just the Word is about the power and potential of ontologies to enhance the electronic search process. The book will compare search strategies and results in the current search environment and demonstrate how these could be transformed using ontologies and concept searching.

Inhalt
How we currently search - text matching instead of concept matching; examples of why this fails and where it falls short How we could search - concept matching instead of text matching; visions of the semantic web; what this could accomplish What is an ontology? - definitions; explanation using stages (dictionary; thesaurus; taxonomy; ontology); examples using everyday terms and relationships; examples of more specialized ontologies (UMLS from NLM, CMCH ontology - why it was needed, how it was built, how using it with semantic search compares to Boolean search); other ontologies; Software available for ontology building - advantages; limitations; Future of ontologies - near future; distant future; what's needed to make these changes happen.