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author:

Wu, Qunyong (Wu, Qunyong.) [1] (Scholars:邬群勇) | Zheng, Xiaomiao (Zheng, Xiaomiao.) [2] | Kang, Lingjun (Kang, Lingjun.) [3]

Indexed by:

EI Scopus

Abstract:

The service matching algorithm is key to service discovery. In this paper, according to the four-level matching algorithm, the geospatial services discovery algorithm is also designed, which uses hierarchy matching, and uses ontology classification tree in I/O matching to converse the ontology similarities into the distance between nodes. It is proved that the new algorithm not only differentiates the geospatial services matching level, but also differentiates the similarities between the identical matching level, and can meet the geospatial services discovery well. © 2010 IEEE.

Keyword:

Ontology Semantic Web Trees (mathematics)

Community:

  • [ 1 ] [Wu, Qunyong]Spatial Information Research Center, Fujian Province, China
  • [ 2 ] [Wu, Qunyong]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Zheng, Xiaomiao]Spatial Information Research Center, Fujian Province, China
  • [ 4 ] [Zheng, Xiaomiao]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350002, China
  • [ 5 ] [Kang, Lingjun]Spatial Information Research Center, Fujian Province, China
  • [ 6 ] [Kang, Lingjun]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350002, China

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Year: 2010

Page: 3475-3478

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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