A service-oriented system for distributed data querying and integration on Grids

Comito, Carmela; Gounaris, Anastasios; Sakellariou, Rizos; Talia, Domenico

doi:10.1016/j.future.2008.11.009

Cited by 17 publications

(4 citation statements)

References 36 publications

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“…In [12], a middle-layer structure was proposed to integrate and query XML data sources. To deal with the coordinated sharing and interaction across multiple autonomous database management systems on data grids, a service-oriented system for distributed data querying and integration on grids was proposed in [13]. From the work presented in [9]- [11], we can see that mode conversion is the core of XML-based heterogeneous database integration middleware.…”

Section: Related Workmentioning

confidence: 99%

A Mapping-Based Sharing Approach for Heterogeneous XML Data Supporting User Personalization

Zeng

Duan

et al. 2019

IEEE Access

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With the development of computer science and technology, there is an urgent demand on integration of heterogeneous data focus on personalized information service. In this paper, we explore two aspects on the usage of the heterogeneous data stored in the form of XML, and propose a mapping-based sharing approach for heterogeneous data supporting user personalization. First, a method is proposed to automatically standardize the heterogeneous XML data, which are provided by different users. The standardization process includes two steps: 1) An XML document is first parsed to a DOM tree, and then the DOM tree is transformed to a reduction tree. By introducing synonym table, the mapping relation can be obtained after the process that the reduction tree is transformed to a standard tree. 2) With that mapping relation, the XSLT file can be generated, with which the standard XML document containing standard data can be easily generated. Second, a method is proposed to support user personalization on data display. The mapping relation mentioned above is first stored in a well-defined form, which can be used to transform the standard XML document into a personalized XML document so as to display users' personalized data. The methodology proposed in this paper has been applied to an application of a sharing platform for the multi-source agricultural spatial data. The user-friendly interface and experience of the platform show that the methodology proposed is feasible.

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Section: Related Workmentioning

confidence: 99%

A Mapping-Based Sharing Approach for Heterogeneous XML Data Supporting User Personalization

Zeng

Duan

et al. 2019

IEEE Access

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“…They can be applied to complement our DP service vector similarity 7 Semantic Annotations for WSDL and XML Schema, and see the link at http://www.w3.org/TR/sawsdl/. 8 Web Service Modeling Ontology, and see the link at http://www.wsmo.org/.…”

Section: B Service Matchmakingmentioning

confidence: 99%

“…DP services are common nowadays [5]- [7]. Besides data-driven Web services, DP services can also be services built upon data centers, 2 Grid data sources [8], scientific services [9], pervasive and location-based data services [10], [11], data access service [12], [13], real-time data services [14], and even data correlation between Web pages [15]. Different from EP services which are usually modeled by means of input, output, preconditions, and effects [16], DP services have no preconditions and do not bring effects.…”

Section: Introductionmentioning

confidence: 99%

Data Providing Services Clustering and Management for Facilitating Service Discovery and Replacement

Zhou

Sellami

Gaaloul

et al. 2013

IEEE Trans. Automat. Sci. Eng.

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In service-oriented computing, a user usually needs to locate a desired service for: (i) fulfilling her requirements or (ii) replacing a service, which disappears or is unavailable for some reasons, to perform an interaction. With the increasing number of services available within an enterprise and over the Internet, locating a service online may not be appropriate from the performance perspective, especially in large Internet-based service repositories. Instead, services usually need to be clustered according to their similarity. Thereafter, services in one or several clusters are necessary to be examined online during dynamic service discovery. In this paper, we propose to cluster data providing (DP) services using a refined fuzzy -means algorithm. We consider the composite relation between DP service elements (i.e., input, output, and semantic relation between them) when representing DP services in terms of vectors. A DP service vector is assigned to one or multiple clusters with certain degrees. In addition, we introduce some operations for managing service clusters, when new services emerge or existing services disappear or become unavailable. When grouping similar services into one cluster, while partitioning different services into different clusters, the capability of service search engine is improved significantly. We have prototyped our approach and the source code is freely available on the web. We have evaluated our clustering approach in different settings and the results are very promising.Note to Practitioners-DP services are common nowadays, and there are a huge number of DP services in the Internet-scale environment. Locating an appropriate DP service accurately and efficiently with respect to the requirements of a certain requestor is a challenging task. This work presents a novel clustering-oriented approach, which aims to group DP services into clusters offline leveraging the semantic description of these DP services, and provides operations for managing these clusters. The clustering procedure is conducted by means of a machine learning technique which is a refined fuzzy -means method. A DP service can be assigned to one or several clusters with certain degrees. DP service clusters constitute a cluster network. Operations are provided for facilitating the evolution of cluster network, when a DP service emerges or disappears sometime for some reason. A prototype has been implemented and the approach has been evaluated on two test collections of DP services considering factors impacting the efficiency. Our method can be readily used in industrial DP service repository for supporting DP service discovery and replacement.

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“…Reference [6] analyzed application service information framework of distributed system from the perspective of grid design, which focused on the reliability of distributed systems. Reference [7] studied robustness and redundancy in the distributed system.…”

Section: A Overall Framework Of Chicken Traceability Information Systemmentioning

confidence: 99%

Research on Web service-oriented data integration in the distributed system

Zhu

Yu²,

Jiang³

et al. 2011

2011 IEEE 2nd International Conference on Software Engineering and Service Science

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Web service technology is playing an increasing role with its loosely coupled and cross-platform ability in the distributed application systems. In this paper, we analyzed problems of information-island and information-sharing of the traditional distributed information system and studied key technologies of Web service. In the case of Internet-based chicken traceability information system, we researched data integration and data transportation model of Internet-based distributed application system with Web service technology. Our research will provide a reference scenario for the construction of efficient data processing of the Internet-based distributed system.

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A service-oriented system for distributed data querying and integration on Grids

Cited by 17 publications

References 36 publications

A Mapping-Based Sharing Approach for Heterogeneous XML Data Supporting User Personalization

A Mapping-Based Sharing Approach for Heterogeneous XML Data Supporting User Personalization

Data Providing Services Clustering and Management for Facilitating Service Discovery and Replacement

Research on Web service-oriented data integration in the distributed system

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