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Mining the meaningful term conjunctions from materialised faceted taxonomies: algorithms and complexity

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Abstract

A materialised faceted taxonomy is an information source where the objects of interest are indexed according to a faceted taxonomy. This paper shows how from a materialised faceted taxonomy, we can mine an expression of the Compound Term Composition Algebra that specifies exactly those compound terms (conjunctions of terms) that have non-empty interpretation. The mined expressions can be used for encoding in a very compact form (and subsequently reusing), the domain knowledge that is stored in existing materialised faceted taxonomies. A distinctive characteristic of this mining task is that the focus is given on minimising the storage space requirements of the mined set of compound terms. This paper formulates the problem of expression mining, gives several algorithms for expression mining, analyses their computational complexity, provides techniques for optimisation, and discusses several novel applications that now become possible.

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Authors and Affiliations

  1. Department of Computer Science, University of Crete, Greece Institute of Computer Science, Foundation for Research and Technology-Hellas, P.O. Box 1385, Heraklion, 71110, Crete, Greece

    Yannis Tzitzikas

  2. Institute of Computer Science, Foundation for Research and Technology-Hellas, P.O. Box 1385, Heraklion, 71110, Crete, Greece

    Anastasia Analyti

Authors
  1. Yannis Tzitzikas
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  2. Anastasia Analyti
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Correspondence to Anastasia Analyti.

Additional information

Yannis Tzitzikas is currently Adjunct Professor in the Computer Science Department at University of Crete (Greece) and Visiting Researcher in Information Systems Lab at FORTH-ICS (Greece). Before joining University of Crete and FORTH-ICS, he was a postdoctoral fellow at the University of Namur (Belgium) and ERCIM postdoctoral fellow at ISTI-CNR (Pisa, Italy) and at VTT Technical Research Centre of Finland. He conducted his undergraduate and graduate studies (M.Sc., Ph.D.) in the Computer Science Department at University of Crete. His research interests fall in the intersection of the following areas: knowledge representation and reasoning, information indexing and retrieval, conceptual modeling, and collaborative distributed applications. His current research revolves around faceted metadata and semantics (theory and applications), the P2P paradigm (focusing on query evaluation algorithms and automatic schema integration techniques) and flexible interaction schemes for information bases. The results of his research are published in more than 30 papers in refereed international journals and conferences.

Anastasia Analyti earned a B.S. degree in Mathematics from University of Athens, Greece, and M.S. and Ph.D. degrees in Computer Science from Michigan State University, USA. She worked as a visiting professor at the Department of Computer Science, University of Crete, and at the Department of Electronic and Computer Engineering, Technical University of Crete. Since 1995, she has been a researcher at the Information Systems Laboratory of the Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH-ICS). Her current interests include the semantic Web, conceptual modelling, faceted metadata and semantics, rules for the semantic Web, biomedical ontologies, contextual organisation of information, contextual web-ontology languages, information integration and retrieval systems for the Web. She has published over 30 papers in refereed journals and conferences.

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Tzitzikas, Y., Analyti, A. Mining the meaningful term conjunctions from materialised faceted taxonomies: algorithms and complexity. Knowl Inf Syst 9, 430–467 (2006). https://doi.org/10.1007/s10115-005-0205-x

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