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Embedding Legacy Keyword Search into Queries for the Ubiquitous ID Database

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Book cover Network-Based Information Systems (NBiS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5186))

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Abstract

Ubiquitous ID is a general purpose framework for implementing context-aware ubiquitous computing applications, where identifiers (called ucode numbers) and their relations are maintained in a large scale distributed database called UCRDB. Since we have to maintain a huge amount of data in UCRDB, it is sometimes desirable to delegate some subqueries to the “legacy” text-base search engines. In this paper, we propose a new query language construct for UCRDB (but can be applied to any other similar technologies such as RDF databases) that enables such a dynamic linking. Using this approach, context of the real world and legacy contents exist in the digital space can be seamlessly combined, and we can view UCRDB and legacy search engines as a single hybrid database so that no programming to “hard-wire” existing services is required. Furthermore, in our system, configurations of dynamic linking are described as a rule base stored in UCRDB itself, thus the resulting system is very simple but highly flexible and extensible.

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Authors and Affiliations

  1. The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan

    Tetsuo Kamina, Noboru Koshizuka & Ken Sakamura

Authors
  1. Tetsuo Kamina
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  2. Noboru Koshizuka
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  3. Ken Sakamura
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Editor information

Makoto Takizawa Leonard Barolli Tomoya Enokido

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© 2008 Springer-Verlag Berlin Heidelberg

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Kamina, T., Koshizuka, N., Sakamura, K. (2008). Embedding Legacy Keyword Search into Queries for the Ubiquitous ID Database. In: Takizawa, M., Barolli, L., Enokido, T. (eds) Network-Based Information Systems. NBiS 2008. Lecture Notes in Computer Science, vol 5186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85693-1_28

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  • DOI: https://doi.org/10.1007/978-3-540-85693-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85692-4

  • Online ISBN: 978-3-540-85693-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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