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      Retrieving Complex Objects with HySpirit

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      Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research (IR)

      IR Research

      8-9 April 1997

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          Abstract

          Traditional Information Retrieval (IR) considers documents as atomic units. In this paper, we show the retrieval of the components of the documents which satisfy best the information need. This finer granularity eases the browsing of the retrieval result. The approach supports multimedia and networked IR since multimedia documents are composed of other objects and networks combine several collections comprising the documents. We gain a unified viewon networks, databases, and multimedia documents by considering them as complex objects — retrieval among a heterogeneous document corpus can be modeled appropriately.

          We present a probabilistic retrieval function where the initial estimation of probabilistic parameters is based on the logical structure of documents and the retrieval process is described as probabilistic logical inference. Probabilistic parameters and the retrieval process are represented in probabilistic Datalog programs which are executed by HySpirit — a system for processing probabilistic inference.

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          A non-classical logic for information retrieval

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            Retrieval of complex objects using a four-valued logic

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              Author and article information

              Contributors
              Conference
              April 1997
              April 1997
              : 1-12
              Affiliations
              Article
              10.14236/ewic/IR1997.9
              © Thomas Rölleke et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

              This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

              Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research
              IR
              19
              Aberdeen, Scotland
              8-9 April 1997
              Electronic Workshops in Computing (eWiC)
              IR Research
              Product
              Product Information: 1477-9358BCS Learning & Development
              Self URI (journal page): https://ewic.bcs.org/
              Categories
              Electronic Workshops in Computing

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