SemWIQ - Semantic Web Integrator and Query Engine
نویسندگان
چکیده
One of the most popular applications of Semantic Web technology is the integration of data from distributed locations over the Web. With wrappers, screen scrapers, and information extraction tools it is possible to access, merge, and reason over RDF data from various different, heterogeneous sources. SPARQL can be used to access RDF data in a declarative manner and as will be shown, it can also be used to virtually integrate distributed RDF graphs. In this contribution a mediator-wrapper based middleware is shown which virtually integrates distributed, heterogeneous data sources based on RDF and a slightly modified SPARQL algebra. Schema information available in RDF Schema and OWL vocabularies is used for query federation and optimization. Compared to traditional data integration systems, SemWIQ can fully exploit the semantics of available RDF data. Additionally, RDF has many interesting properties which provide advanced query capabilities based on OWL DL inference.
منابع مشابه
A Semantic Web middleware for Virtual Data Integration on the Web
One of the most promising fields for the application of Semantic Web technology is the integration of data from distributed sources. Although data integration is a mature field of research and many popular database systems have some support for legacy data and query federation, concepts introduced in the Semantic Web research community provide lots of new opportunities. A commonly used procedur...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملSemantic Query Transformation for Integrating Web Information Sources
The heterogeneousness and dynamics of web information sources are the major challenges to Internet-scale information integration. The information sources are different in contents and query interfaces. In addition, the sources can be highly dynamic in the sense that they can be added, removed, or updated with time. This paper introduces a novel information integration framework that leverages t...
متن کاملA High Performance Semantic Web Query Answering Engine
We present an (extensively revised) semantic web query language called nRQL as well as a working high performance implementation of this language in the RacerPro system. We present the features of this query answering engine.
متن کامل