Architecture of a semantic data integration system based on a semantically complete model and a semantically complete query language

Data integration becomes even more necessary given the increasing availability of data from distributed and heterogeneous sources. To address such heterogeneity, crisp ontologies have been employed in order to represent the semantics of integrated data. However, it is interesting to use fuzzy logic concepts in these ontologies for a more expressive representation of vague information relevant to some domains. In this context, this paper presents DISFOQuE system for data integration based on fuzzy ontology, which provides a homogeneous view of data sources and also performs query expansions in order to retrieve more comprehensive answers for the user. We have executed a real experiment in the domain of watershed analysis, which provided a homogeneous view of the watershed data sources and more effective answers to researchers.

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Kleisli, a functional query system

Journal of Functional Programming ◽

10.1017/s0956796899003585 ◽

2000 ◽

Vol 10 (1) ◽

pp. 19-56 ◽

Cited By ~ 64

Author(s):

LIMSOON WONG

Keyword(s):

Data Integration ◽

Functional Programming ◽

Query Language ◽

Functional Language ◽

Santa Cruz ◽

Web Browser ◽

Integration System ◽

Data Integration System ◽

Query System ◽

Implementation Level

Kleisli is a modern data integration system that has made a significant impact on bioinformatics data integration. This paper contains a brief introduction to the Kleisli system and an example to illustrate its uses in the bioinformatics arena. The primary query language provided by Kleisli is called CPL, which is a functional query language whose surface syntax is based on the comprehension syntax. Kleisli is itself implemented using the functional language SML. So this paper also describes the influence of functional programming research that benefits the Kleisli system, especially the less obvious ones at the implementation level.Availability. Kleisli has been commercialized under the name “KRIS”. It is available from Kris Technology Inc., 713 Santa Cruz Ave, #2, Menlo Park, CA 94025, USA. Direct email to [email protected] and web browser to http://www.kris-inc.com.

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A Concept-Based Query Language Not Using Proper Association Names

Advances in Database Research - Advanced Topics in Database Research, Volume 5 ◽

10.4018/978-1-59140-935-9.ch019 ◽

2011 ◽

pp. 374-400

Author(s):

Vladimir Ovchinnikov

Keyword(s):

Data Integration ◽

Human Computer Interaction ◽

Explicit Form ◽

Query Language ◽

Query Languages ◽

End Users ◽

Application Domain ◽

Semantic Data ◽

Semantic Data Integration ◽

Computer Interaction

This chapter is focused on a concept-based query language that permits querying by means of application domain concepts only. The query language has features making it simple and transparent for end-users: a query signature represents an unordered set of application domain concepts; each query operation is completely defined by its result signature and nested operation’s signatures; join predicates are not to be specified in an explicit form, and the like. In addition, the chapter introduces constructions of closures and contexts as applied to the language which permits querying some indirectly associated concepts as if they are associated directly and adopting queries to users’ needs without rewriting. All the properties make query creation and reading simpler in comparison with other known query languages. The author believes that the proposed language opens new ways of solving tasks of semantic human-computer interaction and semantic data integration.

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