NDLI: An interlinking approach based on domain recognition for Linked Data

Content Provider	IEEE Xplore Digital Library
Author	Kettouch, M.S. Luca, C. Hobbs, M.
Copyright Year	2015
Description	Author affiliation: Anglia Ruskin Univ., Cambridge, UK (Kettouch, M.S.; Luca, C.; Hobbs, M.)
Abstract	The problem of interlinking datasets in, and with the Linked Open Data cloud has been one of major challenges and an important research subject in the Semantic Web. The interlinking is frequently addressed on existing data. The proposed approach, however, suggests a system to verify in first place the existence of the Uniform Resource Identifier of the resource being published in the cloud in order to establish links with it. The overall aim of the research is designing a system to facilitate the follow of the best practices and recommendation in publishing data into the Linked Open Data cloud. The main contribution of the presented paper is the use of the domain to allocate variable weights in measuring the similarity of the instances, according to the significance of their properties in defining the identity of the dataset.
Starting Page	488
Ending Page	491
File Size	742676
Page Count	4
File Format	PDF
e-ISBN	9781479966493
DOI	10.1109/INDIN.2015.7281782
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-22
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Instance Matching Linked Data
Content Type	Text
Resource Type	Article

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An interlinking approach based on domain recognition for Linked Data