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  • × author_ss:"Rada, R."
  • × year_i:[1990 TO 2000}
  1. Rada, R.: Maintaining thesauri and metathesauri (1990) 0.03 
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    Abstract
    Maintaining a thesaurus is a time-consuming task which should go hand-in-hand with the indexing of information and should be supported by software. To connect different document databases their respective thesauri should be related. The most straightforward way to support to support this by computer is to map the terms of one thesaurus to those of another. Such a mapping creates one kind of metathesaurus. As citation systems are extended to include full-text online, a new thesaurus may be used to index individual paragraphs. To illustrate these principles several computer systems are described which help people maintain thesauri and metathesauri. Particular success has been had by the National Library of Medicine with its Medical Subject Headings and its Unified Medical Language System
  2. Rada, R.; Barlow, J.; Potharst, J.; Zanstra, P.; Bijstra, D.: Document ranking using an enriched thesaurus (1991) 0.02 
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    Abstract
    A thesaurus may be viewed as a graph, and document retrieval algorithms can exploit this graph when both the documents and the query are represented by thesaurus terms. These retrieval algorithms measure the distance between the query and documents by using the path lengths in the graph. Previous work witj such strategies has shown that the hierarchical relations in the thesaurus are useful but the non-hierarchical are not. This paper shows that when the query explicitly mentions a particular non-hierarchical relation, the retrieval algorithm benefits from the presence of such relations in the thesaurus. Our algorithms were applied to the Excerpta Medica bibliographic citation database whose citations are indexed with terms from the EMTREE thesaurus. We also created an enriched EMTREE by systematically adding non-hierarchical relations from a medical knowledge base. Our algorithms used at one time EMTREE and, at another time, the enriched EMTREE in the course of ranking documents from Excerpta Medica against queries. When, and only when, the query specifically mentioned a particular non-hierarchical relation type, did EMTREE enriched with that relation type lead to a ranking that better corresponded to an expert's ranking
  3. Rada, R.: Hypertext and paper : a special synergy (1991) 0.01 
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    Source
    International journal of information management. 11(1991) no.1, S.14-22

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