Douglas B. Lenat and R.V. Guha. Building Large Knowledge Bases. Addison Wesley, Reading Mass., 1990.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... data: example tables, XML documents, ground facts of a knowledge base, # relevant metadata that is associated with structured data (e.g. database statistics) It is important to emphasize that a corpus is not expected to be a coherent universal database in the spirit of the Cyc knowledge base [30], which attempts to model all commonsense knowledge. It is just a collection of disparate structures. We expect that the schema information of the corpus will be stored and accessed using tools for model management [7] which provides a basic set of operations for manipulating models of data ....

D. B. Lenat and R. Guha. Building Large Knowledge Bases. Addison Wesley, Reading Mass., 1990.

....databases. The works developed in this text analysis area have been interesting since 1960. Initially, in the 60s and in the 70s, the Author for correspondence. Information Retrieval Systems (IRS) Salton, 1968; Salton, 1989; Cohen Kjeldsen, 1987; Doyle, 1975) emerged. Later, the CYC project (Lenat Guha, 1989; Lenat, Guha, Pittman, Pratt Shepherd, 1990) which was developed during one decade, was proposed. Several works were recently proposed in the Text Mining and knowledge discovering areas (Feldman Hirsh, 1996; Feldman Dagan, 1997; Feldman, Aumann, Fresko, Liphstat, Rosenfeld Schler, 1999; ....

....D. B. Lenat headed the project CYC and it was developed at the beginning of 1984. This project was an attempt in the solution of automatic extraction of knowledge from documents. The CYC project pretend to build an encyclopedia by using sophisticated techniques of Artificial Intelligence (Guha Lenat, 1989a,b) One goal of this project is to build automatically semantic trees of common knowledge. The CYC project can answer questions correctly if the correct arguments are supplied by the questions. The capability of the CYC project to realize questions was not implemented due to its high ....

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Lenat D.B., & Guha R.V. (1989). Building Large Knowledge Bases. Reading, Mass. Addison-Wesley.

....list. The representation of this knowledge will entail significant effort since the Berkeley list does not give detailed information about the source and target domains. In this phase, we intend to make extensive use of existing formalizations of physical and spatial domains (Hobbs et al. 1987; Lenat and Guha, 1990). As noted above, the Berkeley list currently contains approximately 200 English metaphors. The current midas knowledge base contains 22 domain independent metaphors (11 of which are contained in the Berkeley list) and an additional 18 unix specific specializations. We believe that a stable ....

....We believe that a robust MetaBank would largely alleviate this problem with lexicons. If a word sense can safely be predicted from the spatial or physical meaning of the word combined with a known metaphor then the sense need not be listed in the lexicon. 7. 2 Common Sense Knowledge Bases CYC (Lenat and Guha, 1990) and Tacitus (Hobbs et al. 1987) are two major recent efforts to construct large common sense knowledge bases. The MetaBank project relates to these projects in a number of ways. It obviously requires a common sense conceptual representation for the various source and target domains that play ....

Lenat, D. B. and Guha, R. (1990). Building Large Knowledge Bases. Addison-Wesley.

....an ontology for health care. Such an ontology can be used as common knowledge that facilitates communication among health workers. It can also be used during development of hospital information systems or decision support systems. Earlier work in computational ontologies includes the Cyc project (Lenat Guha, 1990) and the ARPA Knowledge Sharing effort (Neches et al. 1991) The Knowledge Interchange Format effort provides a declarative language for describing knowledge (Genesereth, 1991) The National Library of Medicine has assembled a large multidisciplinary, multi site team to work on the Unified ....

Lenat, D. B., & Guha, R. V. (1990). Building Large Knowledge Bases. Addison-Wesley, Reading, MA.

....information about the context in which a concept is used brings knowledge about the world, transforming the lexicon into an approximation of common sense knowledge. The codification of human knowledge using contextual representations was also attempted in the CYC project [Lenat, 1995] [Lenat and Guha, 1990]. CYC covers 10 5 concepts, spanned by 10 hand crafted common sense axioms and thousands of semantic relation types. The only role of contexts in CYC is to support the validity of factual assertions, constituents of the propositional common sense knowledge base. Lexical ambiguity was just ....

Lenat, D. B. and Guha, R. V. (1990). Building Large Knowledge Bases. Addison-Wesley, Reading, MA.

....might state that Assertion A is less likely than Assertion B. Reasoning is done through argumentation, not by logic (propagating absolute True and False) nor by arithmetic (propagating and combining numeric certainty factors) Instead, pro and con arguments are marshalled and compared [1, 3]. Another point is that a standard sort of frame andslot language proved to be awkward in various contexts: For stating ternary and higher relations (e.g. between in an assertion like Austin is between Dallas and San Antonio ) For stating modals (e.g. believes and wanted in an ....

Lenat, D. B. and Guha, R. V. Building Large Knowledge Bases. Addison-Wesley, Reading, Mass., 1990.

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Douglas B. Lenat and R.V. Guha. Building Large Knowledge Bases. Addison Wesley, Reading Mass., 1990.

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