2003
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Abstract: Medical professionals and researchers need information from reputable sources to accomplish their work. Unfortunately, the Web has a large number of documents that are irrelevant to their work, even those documents that purport to be "medically-related." This paper describes an architecture designed to integrate advanced searching and indexing algorithms, an automatic thesaurus, or "concept space," and Kohonen-based Self-Organizing Map (SOM) technologies to provide searchers with finegrained results. Initial r… Show more

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“…The proposed Web-feature-based approaches are codenamed Approach 1 (for the neural network classifier) and Approach 2 (for the SVM classifier) in our experiment. A set of 1,000 documents were randomly selected from a medical testbed created in our previous research [4,5]. A medical lexicon, created based on the metathesaurus of the Unified Medical Language System (UMLS), was also used in our experiment.…”
Section: Discussionmentioning
“…He thought only mappings based on a much more specific set of seed terms, e.g., the ecology of a particular species of African millipede, would have much value for him and his students. This is a criticism with which many people might agree, and progress in bibliographic visualizations like ours may well lie in adding capabilities to map specific natural-language ''co-words'' from the titles, abstracts, or full texts of documents (8,26,27). Possibly the chief beneficiaries of MeSH (or other controlledvocabulary) mapping will be neither beginners nor subject experts, but ''in-between'' persons, such as librarians, subject indexers, science writers, journal editors, and teachers as they browse the many research areas to which they come as outsiders.…”
Section: Examples From Population Geneticsmentioning
“…ref. 8). The data are initially processed by our NOAH indexing engine, a specialized database application we designed for fast computations with verbal co-occurrence data (9).…”
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“…For a SOM in a medical domain such as (Chen et al, 2003), noun phrases could be the appropriate semantic feature; however, for a SOM which provides access to news magazines (Rauber and Merkl, 1999), it would be more appropriate to select named entities (i.e. names of people, places, or things).…”
Section: The Domain and The Semantic Featuresmentioning
“…Chen et al [16] developed a system for users to search Web pages and other online databases by using an automatic thesaurus and by browsing graphical displays of medical-related topics. Similarly, Chau et al [4] created a framework for developing integrated Web portals that support information search and analysis for scientific knowledge and implemented the framework on a knowledge portal in the field of nanoscale science and engineering.…”
Section: Related Research Workmentioning