Title :
A prototype-centered approach to adding deduction capability to search engines-the concept of protoform
Author_Institution :
Comput. Sci. Div., 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 pails of the knowledge base or is augmented by the user. An example of a simple query which cannot be answered by any existing search engine is: "How many UC Berkeley alumni were born in California?" In this case, the query and the query-relevant information are crisp. In the query "How many UC Berkeley alumni are wealthy?" the query-relevant information is crisp but the query is fuzzy. 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.
Keywords :
fuzzy logic; inference mechanisms; search engines; bivalent logic; decision processes; deduction capability; deduction database; human reasoning; knowledge base; perception-based information; query-relevant information; question-answering system; recognition; search engines; search processes; standard probability theory; Computer science; Contracts; Deductive databases; Fuzzy sets; Humans; Laboratories; NASA; Probabilistic logic; Prototypes; Search engines;
Conference_Titel :
Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium
Print_ISBN :
0-7803-7134-8
DOI :
10.1109/IS.2002.1044219