NDLI: A holistic framework of geographical semantic web aligning

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A holistic framework of geographical semantic web aligning

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A holistic framework of geographical semantic web aligning

Content Provider	ACM Digital Library
Author	Li, Mingxiao Liu, Xiliang Lu, Feng Yu, Li Peng, Peng
Abstract	Semantic aligning of heterogeneous geographical data from different sources behaves unsatisfactory on Geographical Semantic Web (GSW) due to the flat structure of GSW and the influence of spatial features. To solve this problem, this paper proposes a holistic framework for GSW aligning. This holistic framework firstly produces the initial matched results respectively for classes, properties and instances by the approval voting strategy, and then enhances these results by the mutual cooperating mechanism. Especially, spatial distance and spatial index are introduced to align instances and to improve the performance of aligning class and aligning property. To demonstrate its ability, this holistic framework is tested with two real GSWs. Compared with the state-of-the-art holistic alignment system, namely PARIS, this framework gains a large number of matched pairs. The Fl values of aligning class, aligning property and aligning instance respectively are 0.562, 0.545 and 0.646, all of which are higher than PARIS's.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450345880
DOI	10.1145/3003464.3003465
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Geographical semantic web Ontology mapping Information integration Semantic network alignment
Content Type	Text
Resource Type	Article

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