Embedding Legacy Keyword Search into Queries for the Ubiquitous ID Database

  • Authors:
  • Tetsuo Kamina;Noboru Koshizuka;Ken Sakamura

  • Affiliations:
  • The University of Tokyo, Tokyo, Japan 113-0033;The University of Tokyo, Tokyo, Japan 113-0033;The University of Tokyo, Tokyo, Japan 113-0033

  • Venue:
  • NBiS '08 Proceedings of the 2nd international conference on Network-Based Information Systems
  • Year:
  • 2008

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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.