Article

An automatic semantic relationships discovery approach

Authors:

Hai Zhuge,

Liping Zheng,

Nan Zhang,

Xiang LiAuthors Info & Claims

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

Pages 278 - 279

https://doi.org/10.1145/1013367.1013434

Published: 19 May 2004 Publication History

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Abstract

An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for constructing the semantic link network. The basic premise of this work is that the semantics of a web page can be reflected by a set of keywords, and the semantic relationship between two web pages can be determined by the semantic relationship between their keyword sets. The approach adopts the data mining algorithms to discover the semantic relationships between keyword sets, and then uses deductive and analogical reasoning to enrich the semantic relationships. The proposed algorithms have been implemented. Experiment shows that the approach is feasible.

References

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Agrawal, R., and Srikant, R. Fast algorithms for mining association rules. Proceeding of the 20th International Conference on Very Large Data Bases, 1994, 478--499.

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[2]

Zhuge, H. Active e-Document Framework ADF: Model and Tool. Information & Management, 2003, 41: 87--97.

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[3]

Zhuge, H and Zheng, L. Deductive and Analogical Reasoning on Semantic Link Network. Technical Report of China Knowledge Grid Research Group.

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[4]

Zhuge, H. and Zheng, L. Ranking Semantic-linked Network. The 12th International World Wide Web Conference, 2003, Budapest.

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[5]

Zhuge, H., China's e-Science Knowledge Grid Environment, IEEE Intelligent Systems, 2004, 19(1): 13--17. Knowledge Grid Forum, http://www.knowledgegird.net

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Cited By

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Pawełoszek IWieczorkowski J(2023)Trip planning mobile application: a perspective case study of user experienceEngineering Management in Production and Services10.2478/emj-2023-001215:2(55-71)Online publication date: 30-Jun-2023
https://doi.org/10.2478/emj-2023-0012
Cao MZhuge H(2022)Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link networkExpert Systems with Applications10.1016/j.eswa.2022.117777206(117777)Online publication date: Nov-2022
https://doi.org/10.1016/j.eswa.2022.117777
Zhuge HZhuge H(2020)Cyber-Physical-Social Semantic Link NetworkCyber-Physical-Social Intelligence10.1007/978-981-13-7311-4_3(55-141)Online publication date: 13-Nov-2020
https://doi.org/10.1007/978-981-13-7311-4_3
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Index Terms

An automatic semantic relationships discovery approach
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
    2. Search engine architectures and scalability
      1. Search engine indexing

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Published In

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

May 2004

532 pages

ISBN:1581139128

DOI:10.1145/1013367

Conference Chairs:
Stuart Feldman
IBM Research
,
Mike Uretsky
New York University
,
Program Chairs:
Marc Najork
Microsoft Research
,
Craig Wills
Worcester Polytechnic Institute

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2004

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WWW04

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WWW04: The 2004 World Wide Web Conference ( in conjunction with ACM Conference on Electronic Commerce [EC'04])

May 19 - 21, 2004

NY, New York, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Pawełoszek IWieczorkowski J(2023)Trip planning mobile application: a perspective case study of user experienceEngineering Management in Production and Services10.2478/emj-2023-001215:2(55-71)Online publication date: 30-Jun-2023
https://doi.org/10.2478/emj-2023-0012
Cao MZhuge H(2022)Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link networkExpert Systems with Applications10.1016/j.eswa.2022.117777206(117777)Online publication date: Nov-2022
https://doi.org/10.1016/j.eswa.2022.117777
Zhuge HZhuge H(2020)Cyber-Physical-Social Semantic Link NetworkCyber-Physical-Social Intelligence10.1007/978-981-13-7311-4_3(55-141)Online publication date: 13-Nov-2020
https://doi.org/10.1007/978-981-13-7311-4_3
Cao MZhuge H(2019)Automatic Evaluation of Text Summarization Based on Semantic Link Network2019 15th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG49510.2019.00026(107-114)Online publication date: Sep-2019
https://doi.org/10.1109/SKG49510.2019.00026
Zhuge H(2019)Semantic linking through spaces for cyber-physical-socio intelligenceArtificial Intelligence10.1016/j.artint.2010.09.009175:5-6(988-1019)Online publication date: 2-Jan-2019
https://dl.acm.org/doi/10.1016/j.artint.2010.09.009
Cao MSun XZhuge H(2018)The contribution of cause-effect link to representing the core of scientific paper—The role of Semantic Link NetworkPLOS ONE10.1371/journal.pone.019930313:6(e0199303)Online publication date: 21-Jun-2018
https://doi.org/10.1371/journal.pone.0199303
Chen J(2018)The Implementation of a Personalized Reading System2018 14th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG.2018.00048(235-240)Online publication date: Sep-2018
https://doi.org/10.1109/SKG.2018.00048
Cao MZhuge H(2018)What Size of Language Unit Is More Appropriate for Text Summarization?2018 14th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG.2018.00036(196-202)Online publication date: Sep-2018
https://doi.org/10.1109/SKG.2018.00036
Xu BZhuge H(2010)Discovery Dynamic Communities in Semantic Link NetworkProceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids10.1109/SKG.2010.82(17-24)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1109/SKG.2010.82
Zhao AHuang ZQiu Y(2010)Service Semantic Link Network Discovery Based on Markov StructureProceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids10.1109/SKG.2010.8(9-16)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1109/SKG.2010.8
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Algebra model and experiment for semantic link network

Autonomous semantic link networking model for the Knowledge Grid: Research Articles

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