Paper Info
Title
Embedding Legacy Keyword Search into Queries for the Ubiquitous ID Database
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.
Year
DOI
Venue
2008
10.1007/978-3-540-85693-1_28
NBiS
Keywords
Field
DocType
text-base search engine,resulting system,rdf databases,legacy search engine,legacy content,embedding legacy keyword search,ubiquitous id,single hybrid database,ubiquitous id database,digital space,context-aware ubiquitous computing application,general purpose framework,distributed database,search engine,rule based,query language,ubiquitous computing
Query language,Search engine,Information retrieval,Identifier,Delegate,Computer science,Business Process Execution Language,Distributed database,Ubiquitous computing,Database,RDF
Conference
Volume
ISSN
Citations 
5186
0302-9743
2
PageRank 
References 
Authors
0.77
10
3
Name
Order
Citations
PageRank
Tetsuo Kamina117015.50
Noboru Koshizuka222546.68
Ken Sakamura329176.46