Similarity Discovery with Social Ontologies

By Shmuel Rotenstreich and George Dimitoglou.

Published by The International Journal of Science in Society

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Article: Electronic $US5.00

The abundance and ubiquity of information, knowledge and resources makes their discovery and access for any organization, group or individual to be an overwhelming task. Besides being confronted with the proverbial “search of a needle in a haystack”, existing knowledge and resource discovery mechanisms seem to fall short when asked to deal with the failure of discovering a requested resource. Existing mechanisms either fail to suggest alternatives or overwhelm the user by providing extraordinary amounts of keyword-matched but often semantically irrelevant data. Similarity discovery attempts to expand the traditional and computerized concept of discovery as is currently used in computer networks and the Internet. We describe an alternative approach to resource discovery, based on ontologies. The approach mitigates the shortcomings of binary-result based searches (“found”/“not found”) by providing relevant results with semantic similarity.

Keywords: Knowledge, Resource, Discovery, Similarity Search

The International Journal of Science in Society, Volume 1, Issue 1, pp.145-156. Article: Print (Spiral Bound). Article: Electronic (PDF File; 2.015MB).

Prof. Shmuel Rotenstreich

Professor, Department of Computer Science, The George Washington University, Washington, DC, USA

Prof. George Dimitoglou

Assistant Professor, Department of Computer Science, Hood College, Frederick, Maryland, USA

Dr. Dimitoglou is an Assistant Professor in the Department of Computer Science at Hood College in Frederick, Maryland. Before joining the faculty he spent over a decade in the industry and government working in the areas of information systems, telecommunications, data archiving and space science. His research interests span the range from networking to distributed systems and very large databases. He holds a D.Sc. in computer science with concentration in parallel and distributed systems from The George Washington University; a M.S. in Applied Systems from the University of Maryland and a B.S. in computer science from Temple University. He is the recipient of a Mission Contribution Award from the European Space Agency and a NASA Goddard Space Flight Center National Resource Award. He is a member of the ACM, the IEEE and the Mathematical Association of America.