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Case Acquisition from Text: Ontology-Based Information Extraction with SCOOBIE for myCBR

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Case-Based Reasoning. Research and Development (ICCBR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6176))

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Abstract

myCBR is a freely available tool for rapid prototyping of similarity-based retrieval applications such as case-based product recommender systems. It provides easy-to-use model generation, data import, similarity modelling, explanation, and testing functionality together with comfortable graphical user interfaces. SCOOBIE is an ontology-based information extraction system, which uses symbolic background knowledge for extracting information from text. Extraction results depend on existing knowledge fragments. In this paper we show how to use SCOOBIE for generating cases from texts. More concrete we use ontologies of the Web of Data, published as so called Linked Data interlinked with myCBR’s case model. We present a way of formalising a case model as Linked Data ready ontology and connect it with other ontologies of the Web of Data in order to get richer cases.

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Authors and Affiliations

  1. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas Roth-Berghofer, Benjamin Adrian & Andreas Dengel

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern

    Thomas Roth-Berghofer, Benjamin Adrian & Andreas Dengel

Authors
  1. Thomas Roth-Berghofer
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  2. Benjamin Adrian
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  3. Andreas Dengel
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Editor information

Editors and Affiliations

  1. Institute of Technology, University of Washington, Tacoma, 1900 Commerce Street, Box 358426, 98402, Tacoma, WA, USA

    Isabelle Bichindaritz

  2. Dipartimento di Informatica, Università del Piemonte Orientale, P.O. Box, Alessandria, Italy

    Stefania Montani

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Roth-Berghofer, T., Adrian, B., Dengel, A. (2010). Case Acquisition from Text: Ontology-Based Information Extraction with SCOOBIE for myCBR. In: Bichindaritz, I., Montani, S. (eds) Case-Based Reasoning. Research and Development. ICCBR 2010. Lecture Notes in Computer Science(), vol 6176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14274-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-14274-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14273-4

  • Online ISBN: 978-3-642-14274-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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