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|
Professor, Department of Computer Science, The George Washington University, Washington, DC, USA
Assistant Professor, Department of Computer Science, Hood College, Frederick, Maryland, USA