The retrieval precision and recall of a specialist bibliographic toxicity database (TRACE) and a range of widely available bibliographic databases used to identify toxicity papers were compared. The analysis indicated that the larger size and resources of the major bibliographic databases did not, for a series of test queries, assure superior retrieval of relevant papers. The specialist databas...

The Information Sciences saction of ITT Research Institute (IITRI) has developed a Computer Search Center and is currently conducting a research project to explore computer searching of F. variety of machine-readable data bases. The Center provides Selective Dissemination of Information services to academic, industrial and research organizations from chemical and biological data bass, using com...

MedSearch is a complete retrieval system for Medline, the premier bibliographic database of the U.S. National Library of Medicine (NLM). MedSearch implements SSRM, a novel information retrieval method for discovering similarities between documents containing semantically similar but not necessarily lexically similar terms.

It has been widely recognized that bibliographic information plays an increasingly important role for scientific research. Peer-to-peer (P2P) networks provide an effective environment for people belonging to a community to share various resources on the Internet. This chapter presents OBIRE, an ontology based P2P network for bibliographic information retrieval. For a user query, OBIRE computes ...

The paper presents a paradigm for a multilingual information system for Indian languages. MARC21 is taken as the basis and UNICODE is adopted for multilingual representation of bibliographic data in Indian languages. The objective of the system is to present search results in any one chosen Indian language irrespective of the original language of the bibliographic record. In other words the ret...

Self-organizing Semantic Map for Information Retrieval Xia Lin Dagobert Soergel Gary Marchionini College of Library and Information Services University of Maryland College Park, A neural network’s unsupervised learning algorithm, Kohonen’s feature map, is applied to constructing a selforganizing semantic map for information retrieval. The semantic map visualizes semantic relationships between i...