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2 edition of lightweight framework for ontology-based XML data integration. found in the catalog.

lightweight framework for ontology-based XML data integration.

Yuye Chen

lightweight framework for ontology-based XML data integration.

by Yuye Chen

  • 270 Want to read
  • 9 Currently reading

Published .
Written in English


About the Edition

This thesis presents an ontology-based XML data integration framework that is capable of deriving an ontology from a collection of XML schemas in a semi-automatic manner and integrating heterogeneous XML sources at the semantic level. The ontology in our system is constructed following a layered approach where an intermediate model is introduced to explicate the underlying semantics of XML schemas and to reduce the complexity of ontology derivation. This two-phase approach is performed semi-automatically by applying a set of heuristic rules and by interpreting mapping information defined by users. The resulting ontology serves as a global semantic view over a set of data sources to be integrated. Moreover, we also adopt a data warehousing approach to populate this ontology with data from XML instance documents automatically, and support data cleaning functions over the resulting set of ontology instances. The proposed framework has been implemented and evaluated using off-the-web XML schemas.

The Physical Object
Pagination116 leaves.
Number of Pages116
ID Numbers
Open LibraryOL19216480M
ISBN 100494071699

An Evaluation Framework for Large-Scale Ontology-based Biomedical Data Integrated Systems by Gilbert Maiga : /HD18/U BVM (Mak), er Science (Mak) Author: Gilbert Maiga. To ameliorate these challenges, this paper suggests an ontology-based approach to developing an IDM and an MVD that is expected to provide (1) high-level information representations that can be Cited by:

In low-resource settings, the prioritization of clinical care funding is often determined by immediate health priorities. As a result, investment directed towards the development of standards for clinical data representation and exchange are rare and accordingly, data . MetaOn framework involves, ontology-based information extraction and data mining, semi-automatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata File Size: 61KB.

The integration of data is one of the most complicated tasks which need to be addressed by IT researchers. Despite the critical importance, the current approaches to semantic interoperability of. Wright State University, Ontology Pattern-Based Data Integration. Data integration is concerned with providing a uni ed access to data residing at multiple sources. Such a uni ed access is realized Cited by: 6.


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Lightweight framework for ontology-based XML data integration by Yuye Chen Download PDF EPUB FB2

An ontology-based framework for XML semantic integration Abstract: XML is becoming the standard for data interchange on the Web. However, XML and its schema languages do not express semantics but Cited by: pure peer-to-peer data integration systems, where there are no super-peers.

We identify the following five uses of ontologies in data integration: Metadata Representation. Metadata (i.e., source. Ontology-based data integration involves the use of ontology(s) to effectively combine data or information from multiple heterogeneous sources. It is one of the multiple data integration approaches and may be.

An Ontology-based Framework for XML Semantic Integration Isabel F. Cruz [email protected] University of Illinois at Chicago Huiyong Xiao [email protected] University of Illinois at Chicago Feihong Hsu.

Ontology based data integration of NoSQL datastores Abstract: NoSQL databases are suitable for network traffic loads experienced by today's websites. The important attributes that make them a favorable choice are inherent distributed nature, horizontal scalability and flexibility in data.

In [3] an ontology-based framework for XML semantic integration is introduced. For each XML source integrated, a local RDFS ontology is created and merged into a global ontology, assuming the.

Furthermore, considerable work has been carried out by [16] in addressing the problem of data integration and the interoperation of heterogeneous XML sources using an ontology-based framework. An Ontology model provides much the same information, except a data model is specifically related to data only.

The data model provides entities that will become tables in a Relational Database. Ontology based framework for data integration Article (PDF Available) in WSEAS Transactions on Information Science and Applications 5(6) June with Reads How we measure 'reads'.

Ontology-Based Authorization Model for XML Data in Distributed Systems: /ch This research work proposes a Semantic-Aware Authorization Framework, called SAAF, for Cited by: 7. This paper presents an ontology integration approach of XML data.

The approach is composed of two pillars the first of which is based on formal language and XML grammars analysis. The second pillar is Cited by: 4. ARTICLE A web-based system architecture for ontology-based data integration in the domain of IT benchmarking Matthias Pfaff a,b and Helmut Krcmar b aDepartment of Business Model and Service Cited by: 6.

This paper deals with some modeling aspects that have to be addressed in the context of the integration of heterogeneous and autonomous XML resources. We propose an integration. In view of these limitations, this research presents an ontology-based data integration framework that makes use of open-source tools that support Semantic Web technologies.

The Author: Abiodun Gideon Akinyemi, Ming Sun, Alasdair J. Gray. Ontology based framework for data integration. By Alberto Salguero, In this paper we describe a framework which encompasses the entire data integration process. The data source schemas as well. 4 Ontology-based Data Management { Although in classical data integration the main service to be delivered by the system is query answering, the OBDM should also provide the client with other.

Contextual semantic relationships between data elements and forms are lost: A clinical user considers the medical context, the structure of the assessment form and the neighboring data elements when Cited by: In this work, we propose an ontology-based framework for the integration of geographic data.

In our approach, a query posed on a domain ontology is rewritten into sub-queries submitted over multiples Cited by: Abstract: One of the most complex issues of the data integration is the case where there are multiple sources for the same data element. It is not easy to generate and maintain the integrated scheme.

In. An Approach for Ontology Integration for Personalization with the Support of XML hwari 1 and Dr. Aramudhan 2 1Research Scholar, Department of Computer Science and Engineering. A data integration system provides a uniform interface to distributed and heterogeneous sources.

These sources can be databases as well as unstructured information such as files, HTML pages, etc.conceptual framework for an ontology-based examination system and the ontology required for such examination systems were described.

The domain ontology was constructed based on the .Ontology-based Access to Heterogeneous XML Data, Lule Ahmedi, Pedro José Marrón, Georg Lausen, Int. Workshop on Web Databases, Sept., Vienna, Austria. Directory-Based Ontologies for .