Keywords
web of knowledge, web of data, semantic web, ontology learning, information extraction, free-form query specification
Abstract
The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts? Equivalently, can we turn the web into a web of facts (instead of a web of pages containing facts)? Ultimately, can the web be a knowledgebase—a web of knowledge—that can provide direct answers to factual questions and also provide the confidence necessary to make those answers believable? We answer these questions by showing how to superimpose a web of data over the web of pages, resulting in a web of knowledge. Our research group at Brigham Young University has been working on this challenge for more than a decade. Our solution, which is based on conceptual modeling, calls for turning raw symbols contained in web pages into knowledge and making this knowledge accessible via the web. The particulars of our solution show ways to overcome three impeding challenges: (1) automatic (or near automatic) creation of ontologies, (2) automatic (or near automatic) annotation of web pages with respect to these ontologies, and (3) simple but accurate query specification, usable without specialized training. Meeting these basic challenges can simplify knowledge-web content creation and access to the point that the vision of a web of knowledge can become a reality. Throughout, we show that conceptual modeling plays a key role in actualizing these ideas.
Original Publication Citation
"A Web of Knowledge: A Conceptual-Modeling Perspective", Lecture Notes in Computer Science, Volume 6520, Pages 137-160, Springer, Berlin, Roland Kaschek and Lois Delcambre, 2011
BYU ScholarsArchive Citation
Embley, David W.; Liddle, Stephen W.; and Tao, Cui, "A Web of Knowledge: A Conceptual-Modeling Perspective" (2011). Faculty Publications. 9501.
https://scholarsarchive.byu.edu/facpub/9501
Document Type
Book Chapter
Publication Date
2011
Publisher
Lecture Notes in Computer Science
Language
English
College
Marriott School of Business
Department
Information Systems Management
Copyright Status
© Springer-Verlag Berlin Heidelberg 2011
Copyright Use Information
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