Taras Mahlin
ABSTRACT
Existing search engines generally retrieve information in response to logical queries consisting of keywords. In contrast, the agent system presented in this paper, DOrAM Domain Oriented Answering Machine), enables a user to submit a natural language question to the Web, and exploits the question's semantics (along with its keywords) in its search. Moreover, DOrAM improves upon the performance of existing search engines by returning content-based answers to the user's query.The DOrAM query-response agent is composed of four modules, corresponding to its four-stage approach to question answering. First, the domain of interest is defined in terms of characteristic concepts given by a human expert. Second, documents are gathered from the World Wide Web that are all related to this specialized domain. Third, an ontology is automatically constructed for this domain; this ontology encodes subject-action-object relations found in Web documents gathered in the previous step. The fourth step is the actual question answering stage, returning knowledge that was assembled in light of the user's question and the domain ontology.
- C. Goldman, A. Langer, and J. Rosenschein. Musag - an agent that learns what you mean. Journal of Applied AI 11(5):413--435, 1997. Edited by N. Jennings and B. CrabtreeGoogle Scholar
- G. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller. Introduction to WordNet: An on-line lexical database. International Journal of Lexicography, 3(4):235--244, 1991Google ScholarCross Ref
- D. Moldovan, S. Harabagiu, M. Pasca, R. Mihalcea, R. Goodrum, R. Girju, and V. Rus. Lasso: A tool for surfing the answer net. In Procs. of TREC-8, Oct 1999Google Scholar
- R. Srihari and W. Li. Information extraction supported question answering. In Procs. of TREC-8, Oct 1999Google Scholar
Index Terms
- DOrAM: real answers to real questions
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