Title :
A prototype-centered approach to adding deduction capability to search engines-the concept of protoform
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Existing search engines have many remarkable capabilities. But what is not among them is deduction capability-the capability to answer a query by drawing on information which resides in various parts of the knowledge base or is augmented by the user. The problem-which is not widely recognized-is that much of the information in the knowledge base of a search engine is perception-based. Methods based on bivalent logic and standard probability theory lack capability to operate on perception-based information. A search engine with deduction capability is, in effect, a question-answering system. Limited progress toward a realization of deduction capability is achievable through application of methods based on bivalent logic and standard probability theory. But to move beyond the reach of standard methods it is necessary to change direction. In the approach which is outlined, a concept which plays a pivotal role is that of a prototype-a concept which has a position of centrality in human reasoning, recognition, search and decision processes.
Keywords :
fuzzy set theory; inference mechanisms; information retrieval; search engines; decision processes; deduction capability; knowledge base; protoform; prototype-centered approach; query answering system; reasoning; recognition; search; search engines; Computer science; Contracts; Deductive databases; Fuzzy sets; Humans; Laboratories; NASA; Probabilistic logic; Prototypes; Search engines;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018115