Title :
A Scalable Problem-Solver for Large Knowledge-Bases
Author :
Chaw, Shaw-Yi ; Barker, Ken ; Porter, Bruce ; Tecuci, Dan ; Yeh, Peter Z.
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
We describe a problem solver built to answer questions like those on advanced placement exams using knowledge bases authored by domain experts. The problem solver is designed to work independently of any particular knowledge base or domain. Given a question, the problem solver identifies those portions of the knowledge base that are relevant to the question. We found that simple heuristics for judging relevance significantly improved performance, with no drop in coverage.
Keywords :
knowledge based systems; problem solving; advanced placement exams; large knowledge-bases; scalable problem-solver; Artificial intelligence; Biological cells; Cells (biology); Chemistry; Equations; Information retrieval; Libraries; Logic; Physics computing; Vents; Knowledge Base Systems; Problem Solving; Project Halo; Question Answering; Reasoning;
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2009.108
