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Author:

Guo, Limin (Guo, Limin.) | Su, Xing (Su, Xing.) | Zhang, Ling (Zhang, Ling.) | Huang, Guangyan (Huang, Guangyan.) | Gao, Xu (Gao, Xu.) | Ding, Zhiming (Ding, Zhiming.) (Scholars:丁治明)

Indexed by:

CPCI-S EI Scopus

Abstract:

With the development of big data, the heuristic query based on the semantic relationship network has become a hot topic, which attracts much attention. Due to the complex relationship between data records, the traditional query technologies cannot satisfy the requirements of users. To this end, this paper proposes a heuristic query method based on the semantic relationship network, which first constructs the semantic relationship model, and then expands the query based on the constructed semantic relationship network. The experiments demonstrate the reasonableness, high precision of our method.

Keyword:

Semantic relation Query expansion Semantic relationship network Heuristic query Domain ontology

Author Community:

  • [ 1 ] [Guo, Limin]Beijing Univ Technol, Fac Informat, Beijing 100124, Peoples R China
  • [ 2 ] [Su, Xing]Beijing Univ Technol, Fac Informat, Beijing 100124, Peoples R China
  • [ 3 ] [Ding, Zhiming]Beijing Univ Technol, Fac Informat, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Ling]Natl Earthquake Response Support Serv, Beijing 100049, Peoples R China
  • [ 5 ] [Huang, Guangyan]Deakin Univ, Sch Informat Technol, Melbourne, Vic, Australia
  • [ 6 ] [Gao, Xu]Zhengzhou Univ, Smart City Inst, Zhengzhou 450001, Henan, Peoples R China

Reprint Author's Address:

  • [Zhang, Ling]Natl Earthquake Response Support Serv, Beijing 100049, Peoples R China

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Source :

PRICAI 2018: TRENDS IN ARTIFICIAL INTELLIGENCE, PT II

ISSN: 0302-9743

Year: 2018

Volume: 11013

Page: 19-28

Language: English

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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