@article{1a8a91b2d1684711b91db66e65427a70,
title = "Semantic refinement and error correction in large terminological knowledge bases",
abstract = "Capturing the semantics of concepts in a terminology has been an important problem in AI. A two-level approach has been proposed where concepts are classified into high-level semantic types, with these types constituting a portion of the concepts' semantics. We present an algorithmic methodology for refining such two-level terminologic networks. A new network is produced consisting of {"}pure{"} semantic types and intersection types. Concepts are uniquely re-assigned to these new types. Overall, these types form a better conceptual abstraction, with each exhibiting uniform semantics. Using them, it becomes easier to detect classification errors. The methodology is applied to the UMLS.",
keywords = "Concept hierarchy, Semantic error correction, Semantic refinement, Semantic type, Terminological knowledge base",
author = "James Geller and Huanying Gu and Yehoshua Perl and Michael Halper",
note = "Funding Information: This research was funded in part by the New Jersey Commission for Science and Technology through the New Jersey Center for Software Engineering. Funding Information: Michael Halper received the B.S. degree (with honors) in computer science from the New Jersey Institute of Technology (NJIT) in 1985; the M.S. degree in computer science from Fairleigh Dickinson University in 1987; and the Ph.D. degree in computer science from NJIT in 1993. During his graduate studies, he was the recipient of a Garden State Graduate Fellowship from the State of New Jersey. Dr. Halper is an Associate Professor of computer science at Kean University, and a visiting researcher at the OODB & AI Laboratory of NJIT. His research interests include conceptual and object-oriented data modeling, part-whole modeling, extensible data models, object-oriented database systems, and medical informatics. He has worked on the OOHVR project––funded by the National Institute of Standards and Technology (NIST) Advanced Technology Program––to model controlled vocabularies and terminologies using object-oriented database technology. Dr. Halper has published numerous papers in international journals, conferences, and workshops. He is a member of The Honor Society of Phi Kappa Phi. Funding Information: Yehoshua Perl received his Ph.D. degree in Computer Science in 1975 from the Weizmann Institute of Science, Israel. He was appointed lecturer and senior lecturer at the Bar-Ilan University, Israel in 1975 and 1979, respectively. He spent a sabbatical at the University of Illinois in 1977–78. From 1982 to 1985, he was visiting Associate Professor at Rutgers University (New Brunswick). Since 1985, he has been in the Computer Science Department at the New Jersey Institute of Technology (NJIT) where he was appointed as Professor in 1987. He received the Harlan Perlis Research Award of NJIT in 1996. Dr. Perl is the author of more than 80 papers in international journals and conferences. His publications are in object-oriented databases, medical informatics, medical vocabularies, design and analysis of algorithms, design of networks, sorting networks, graph theory, and data compression. From 1995 to 1999, Dr. Perl was involved in the large Object-Oriented Healthcare Vocabulary Repository (OOHVR) project supported by the National Institute of Standards and Technology, ATP Program. Highlights of his research include: The shifting algorithm technique for tree partitioning, analysis of interpolation search, the design of periodic sorting networks, modeling vocabularies using object-oriented databases, and enhancing the semantics of OODBs. ",
year = "2003",
month = apr,
doi = "10.1016/S0169-023X(02)00153-2",
language = "English (US)",
volume = "45",
pages = "1--32",
journal = "Data and Knowledge Engineering",
issn = "0169-023X",
publisher = "Elsevier B.V.",
number = "1",
}