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| NIH | NLM Intelligent Agent DB searching | Budget Code: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| With the large and rapidly growing number of computerized data base resources and services offering bibliographic, full text and factual data via the Internet, it is difficult for the user to locate and process needed information. One may not know where -- in which data base -- to look, and the user must deal with the structured and unforgiving access protocols and retrieval languages that differ from one data base service to the next. An especially vexing problem arises if the user needs to search across several data bases or services containing information in multiple formats. In biomedicine, the disparity in the biomedical terminology used to describe related concepts in different machine readable files also prevents practitioners and researchers from retrieving and integrating relevant biomedical information from separate sources, such as the biomedical literature, clinical records, medical data banks, and expert knowledge bases. NLM's approach to these problems is to develop intelligent gateways among data base services, using a Unified Medical Language System (UMLS) to compensate for the dissimilarity in the ways related information is classified in different automated systems. Intelligent-agent-mediated gateways will provide users with a single point of access to needed information and free the user as much as possible from having to know the peculiarities of the various information sources. The UMLS will function as an electronic Rosetta Stone, making the myriad of classifications of medical knowledge invisible to the user and enabling retrieval of related biomedical information from many sources. |
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| FY 1995 Actual Milestones | FY 1996 Estimated Milestones | FY 1997 Agency Requested Milestones | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Deployed for beta-testing a new access model (gateway) architecture, known as Internet Grateful Med (IGM), as one option for use of NLM's services by Internet users. IGM provides intelligent assistance to users of NLM's online services.
Developed and beta-tested a Z39.50 MEDLINE server. |
Make Internet Grateful Med generally available to provide intelligent-agent-mediated multi-database searching to all NLM users with Internet access.
Deploy Internet-based tools for creation of descriptions of Internet-accessible biomedical information resources and for intelligent source selection, as part of NLM's UMLS Information Sources Map development. |
Deploy new capabilities for automatic source selection and for retrieving and sorting information from multiple databases both within the Internet Grateful Med and UMLS Information Sources Map context and from replacement of the retrieval engine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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