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Using XML as a Language Interface for AI Applications

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Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2112))

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Abstract

One of the key advantages of XML is that it allows developers, through the use of DTD files, to design their own languages for solving different problems. At the same time, one of the biggest challenges to using rule-based AI solutions is that it forces the developer to cast the problem within particular, AI-specific, languages which are difficult to interface with. We demonstrate in this paper how XML changes all that by allowing the development of particular languages suited to particular AI problems and allows a seamless interface with the rules engine. We show that the input and output, and even the rules themselves, from an AI application can be represented as XML files allowing the software engineer to avoid having to invest considerable time and effort in building complex conversion procedures. We illustrate our ideas with an example drawn from the mortgage industry.

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Reference

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Author information

Authors and Affiliations

  1. Nisus Inc, 180 Turnpike Road, Westborough, MA, 01581, USA

    Said Tabet

  2. MindBox Inc., 300 Drake’s Landing Suite. 155, Greenbrae, CA, 94904, USA

    Prabhakar Bhogaraju

  3. Intelligent Market Technologies, L.L.C., 330 S. Wells St. Ste. 612, Chicago, IL, 60606, USA

    David Ash

Authors
  1. Said Tabet
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  2. Prabhakar Bhogaraju
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  3. David Ash
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Editor information

Editors and Affiliations

  1. CSIRO Mathematical and Information Sciences, 723 Swanston Street, Carlton, VIC 3053, Australia

    Ryszard Kowalczyk

  2. School of Computer Science and Information Technology, RMIT University, GPO Box 2476V, Melbourne, VIC 3001, Australia

    Seng Wai Loke

  3. Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden

    Nancy E. Reed

  4. CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia

    Graham J. Williams

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© 2001 Springer-Verlag Berlin Heidelberg

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Tabet, S., Bhogaraju, P., Ash, D. (2001). Using XML as a Language Interface for AI Applications. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_11

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  • DOI: https://doi.org/10.1007/3-540-45408-X_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42597-7

  • Online ISBN: 978-3-540-45408-3

  • eBook Packages: Springer Book Archive

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