Database Research: Achievements and Challenges

Wang, Shan; Du, Xiaoyong; Meng, Xiaofeng; Chen, Hong

doi:10.1007/s11390-006-0823-0

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…With the development of Semantic Web search engines such as Sindice [9] and Falcons [10] , a number of online systems have been implemented for performing large-scale, distributed and uncertain object coreferencing [1,4,[11][12] . Additionally, identifying duplicate entities, which is also under the names of duplicate detection, record linkage, coreference resolution and many others, has been extensively studied in the database and natural language processing (NLP) areas [3,[13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Bootstrapping Object Coreferencing on the Semantic Web

Sun

2011

J. Comput. Sci. Technol.

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An object on the Semantic Web is likely to be denoted with several URIs by different parties. Object coreferencing is a process to identify "equivalent" URIs of objects for achieving a better Data Web. In this paper, we propose a bootstrapping approach for object coreferencing on the Semantic Web. For an object URI, we firstly establish a kernel that consists of semantically equivalent URIs from the same-as, (inverse) functional properties and (max-)cardinalities, and then extend the kernel with respect to the textual descriptions (e.g., labels and local names) of URIs. We also propose a trustworthiness-based method to rank the coreferent URIs in the kernel as well as a similarity-based method for ranking the URIs in the extension of the kernel. We implement the proposed approach, called ObjectCoref, on a large-scale dataset that contains 76 million URIs collected by the Falcons search engine until 2008. The evaluation on precision, relative recall and response time demonstrates the feasibility of our approach. Additionally, we apply the proposed approach to investigate the popularity of the URI alias phenomenon on the current Semantic Web.

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Section: Introductionmentioning

confidence: 99%

Bootstrapping Object Coreferencing on the Semantic Web

Sun

2011

J. Comput. Sci. Technol.

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Reliable Self-Clustering P2P Overlay Networks

Wang

Zhang

Wang

2007

31st Annual International Computer Software and Applications Conference - Vol. 1- (COMPSAC 2007)

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Research and Improvement of Database Storage Method

Zeng

2014

AMM

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This paper presents a massive data storage and parallel processing method based on MPP architecture, and put forward full persistent data storage way from the client to request, and the integration the idea of Map/Reduce, the system will be distributed to each data node, the data has high scalability, high availability, high concurrency. And the simulation test and verifies the feasibility of mass data storage mode by building a distributed data node.

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Database Research: Achievements and Challenges

Cited by 3 publications

References 47 publications

Bootstrapping Object Coreferencing on the Semantic Web

Bootstrapping Object Coreferencing on the Semantic Web

Reliable Self-Clustering P2P Overlay Networks

Research and Improvement of Database Storage Method

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