Information Integration Via an End-to-End Distributed Semantic Web System

Dimitrov, Dimitre; Heflin, Jeff; Qasem, Abir; Wang, Nanbor

doi:10.1007/11926078_55

Cited by 15 publications

(13 citation statements)

References 7 publications

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“…Previous works in this area like [12,7,9,3,1,13,4] have focused on integrating traditional data sources (as opposed to DP services) in the P2P environment. None of them has dealt with Service-Accessed sources in the P2P sharing environment.…”

Section: Data Integration and Inter-operation In P2p Systemsmentioning

confidence: 99%

A Framework for Service-Based Query Resolution in eEnvironments

Barhamgi

Champin

Benslimane

2007

2007 IEEE International Workshop on Databases for Next Generation Researchers

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While recent works in P2P Data Management Systems (PDMSs) have focused only on integrating traditional data sources, the access to an increasing number of data sources has been made in the form of Data-Providing Web services in P2P-based e-collaboration environments. In this paper, we supplement current PDMSs with capability to handle data sources exposed as services. In our solution we model Data-Providing services as RDF parametrized views. Then we devise an algorithm capable of composing the different data-providing services in order to answer a received query.

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Section: Data Integration and Inter-operation In P2p Systemsmentioning

confidence: 99%

A Framework for Service-Based Query Resolution in eEnvironments

Barhamgi

Champin

Benslimane

2007

2007 IEEE International Workshop on Databases for Next Generation Researchers

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“…There are several advantages in using ontology-based architectures for information integration, such as ease of mapping, handling of different terminologies, explicit data models, etc. [3].…”

Section: Related Workmentioning

confidence: 99%

“…The Office of Public Sector Information (OPSI) 3 is responsible for the management of all of the UK government's intellectual property, including setting standards, delivering access and encouraging the re-use of PSI. In the UK, any work produced by an employee of the government is deemed to be owned by the Crown and thus subject to Crown copyright.…”

Section: Introductionmentioning

confidence: 99%

Unlocking the Potential of Public Sector Information with Semantic Web Technology

Alani

Dupplaw

Sheridan³

et al. 2007

Lecture Notes in Computer Science

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Abstract. Governments often hold very rich data and whilst much of this information is published and available for re-use by others, it is often trapped by poor data structures, locked up in legacy data formats or in fragmented databases. One of the great benefits that Semantic Web (SW) technology offers is facilitating the large scale integration and sharing of distributed data sources. At the heart of information policy in the UK, the Office of Public Sector Information (OPSI) is the part of the UK government charged with enabling the greater re-use of public sector information. This paper describes the actions, findings, and lessons learnt from a pilot study, involving several parts of government and the public sector. The aim was to show to government how they can adopt SW technology for the dissemination, sharing and use of its data.

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“…This work is an extension of our initial work presented in Dimitrov et al [3]. The previous work was based on a two-tier ontology architecture so it had no support for map composition.…”

Section: Introductionmentioning

confidence: 97%

Efficient Selection and Integration of Data Sources for Answering Semantic Web Queries

Qasem

Dimitrov²,

Heflin

2008

2008 IEEE International Conference on Semantic Computing

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In this work we adapt an efficient information integration algorithm to identify the minimal set of potentially relevant Semantic Web data sources for a given query. The vast majority of these sources are files written in RDF or OWL format, and must be processed in their entirety. Our adaptation includes enhancing the algorithm with taxonomic reasoning, defining and using a mapping language for the purpose of aligning heterogeneous Semantic Web ontologies, and introducing a concept of source relevance to reduce the number of sources that we need to consider for a given query. After the source selection process, we load the selected sources into a Semantic Web reasoner to get a sound and complete answer to the query. We have conducted an experiment using synthetic ontologies and data sources which demonstrates that our system performs well over a wide range of queries. A typical response time for a substantial work load of 50 domain ontologies, 80 map ontologies and 500 data sources is less than 2 seconds. Furthermore, our system returned correct answers to 200 randomly generated queries in several workload configurations. We have also compared our adaptation with a basic implementation of the original information integration algorithm that does not do any taxonomic reasoning. In the most complex configuration with 50 domain ontologies, 100 map ontologies and 1000 data sources our system returns complete answers to all the queries whereas the basic implementation returns complete answers to only 28% of the queries.

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Information Integration Via an End-to-End Distributed Semantic Web System

Cited by 15 publications

References 7 publications

A Framework for Service-Based Query Resolution in eEnvironments

A Framework for Service-Based Query Resolution in eEnvironments

Unlocking the Potential of Public Sector Information with Semantic Web Technology

Efficient Selection and Integration of Data Sources for Answering Semantic Web Queries

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