A Conceptual-Model-Based Computational Alembic for a Web of Knowledge

Authors:
David W. Embley;Stephen W. Liddle;Deryle Lonsdale;George Nagy;Yuri Tijerino;Robert Clawson;Jordan Crabtree;Yihong Ding;Piyushee Jha;Zonghui Lian;Stephen Lynn;Raghav K. Padmanabhan;Jeff Peters;Cui Tao;Robby Watts;Charla Woodbury;Andrew Zitzelberger
Affiliations:
Department of Computer Science,;Department of Information Systems,;Department of Linguistics and English Language, Brigham Young University, Provo 84602;Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12180;Department of Applied Informatics, Kwansei Gakuin University, Kobe-Sanda, Japan;Department of Computer Science,;Department of Computer Science,;Department of Computer Science,;Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12180;Department of Computer Science,;Department of Computer Science,;Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12180;Department of Computer Science,;Department of Computer Science,;Department of Computer Science,;Department of Computer Science,;Department of Computer Science,
Venue:
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Year:
2008

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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 embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a WoK (a Web of Knowledge) that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages?