Information retrieval: an overview of system characteristics
The paper gives an overview of characteristics of information retrieval (IR) systems. The characteristics are identified from the descriptions of 23 IR systems. Four IR models are discussed: the Boolean model, the vector model, the probabilistic model and the connectionistic model. Twelve other char...
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Veröffentlicht in: | International journal of medical informatics (Shannon, Ireland) Ireland), 1997-11, Vol.47 (1), p.5-26 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The paper gives an overview of characteristics of information retrieval (IR) systems. The characteristics are identified from the descriptions of 23 IR systems. Four IR models are discussed: the Boolean model, the vector model, the probabilistic model and the connectionistic model. Twelve other characteristics of IR models are identified: search intermediary, domain knowledge, relevance feedback, natural language interface, graphical query language, conceptual queries, full-text IR, field searching, fuzzy queries, hyptertext integration, machine learning, and ranked output. Finally, the relevance of IR systems for the World Wide Web is established. |
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ISSN: | 1386-5056 1872-8243 |
DOI: | 10.1016/S1386-5056(97)00094-4 |