Cited By
View all- Wang HGu ZGu M(2022)Job Recommendation Algorithm Based on Knowledge Graph2022 IEEE 8th International Conference on Computer and Communications (ICCC)10.1109/ICCC56324.2022.10065776(2023-2027)Online publication date: 9-Dec-2022
Semantic Navigation of Keyword Search Based on Knowledge Graph
Authors: 
Bo Peng, Guohua Chen, Yong Tang, Saimei Sun, Yuxia SunAuthors Info & Claims
Bo Peng, Guohua Chen, Yong Tang, Saimei Sun, Yuxia SunAuthors Info & ClaimsPages 189 - 192
Abstract
Aiming at the problem that the semantic navigation of keyword search can not meet the potential navigation requirements of users, this paper proposes two kinds of semantic navigation schemes1. First, we use TFIDF to extract core keywords and construct semantic networks from the abstracts, title and keywords of a paper; Second, the semantic similarity of Word2Vec is used to construct the knowledge graph of the keywords. These methods can provide different weight of semantic navigation recommendation keywords for different keywords to meet the needs of users' potential semantic navigation.
References
[1]
Joachims T. Text Categorization with Support Vector Machines: Learning with many Relevant Features{M}. Berlin Heidelberg: Springer, 1998.
[2]
Mikolov T, Chen K, Corrado G, et al. Efficient Estimation of Word Representations in Vector Space{J}. Computer Science, 2013(1): 28--36.
[3]
Hakkani-Tur D, Heck L, Tur G. Using a knowledge graph and query click logs for unsupervisedlearning of relation detection{C}//Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, 2013:8327--8331.
[4]
Wang Z, Li J, Wang Z, et al. Xlore: A large-scale english-chinese bilingual knowledge graph{C}//Proceedings of the 2013th International Conference on Posters & Demonstrations Track-Volume 1035. CEUR-WS. org, 2013: 121--124.
[5]
Milne D N, Witten I H, Nichols D M. A knowledge-based search engine powered by wikipedia{C}//Proceedings of the sixteenth ACM conference on Conference on information and knowledge management. ACM, 2007: 445--454.
[6]
Men C, Tang W, Zhang P, et al. On Topology of Baidu's Association Graph Based on General Recommendation Engine and Users' Behavior{C}// International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 2015:75--76.
[7]
Liu Qiao, Li Yang, et al. Knowledge Graph Construction Techniques {J}. Computer Research And Development 2016, (03):582--600.
[8]
Zheng Jie. NLP Chinese Natural Language Processing: Principles and Practice {M}. Bei Jing: Publishing House of Electronics Industry 2017:149--150.
[9]
Mikolov T, Sutskever I, Chen K, et al. Distributed representations of words and phrases and their compositionality{C}// International Conference on Neural Information Processing Systems. Curran Associates Inc. 2013:3111--3119.
Index Terms
- Semantic Navigation of Keyword Search Based on Knowledge Graph
Recommendations
An Empirical Evaluation on Semantic Search Performance of Keyword-Based and Semantic Search Engines: Google, Yahoo, Msn and Hakia
ICIMP '09: Proceedings of the 2009 Fourth International Conference on Internet Monitoring and ProtectionThis paper investigates the semantic search performance of search engines. Initially, three keyword-based search engines (Google, Yahoo and Msn) and a semantic search engine (Hakia) were selected. Then, ten queries, from various topics, and four phrases,...
TF-IDF Keyword Extraction Method Combining Context and Semantic Classification
DSIT 2020: Proceedings of the 3rd International Conference on Data Science and Information TechnologyKeyword extraction plays the same role as the cornerstone in the field of natural language processing. Text classification, information retrieval, abstract generation and text clustering are all based on keyword extraction. This article takes the ...
Keyword-based semantic search engine Koios++
ISWC-PD'14: Proceedings of the 2014 International Conference on Posters & Demonstrations Track - Volume 1272In this paper, we describe the keyword-based semantic search engine KOIOS++ which interprets the keywords and computes a set of SPARQL queries. The special feature of KOIOS++ is that it leverages not only the class hierarchy but also the property ...
Comments
Information & Contributors
Information
Published In
September 2017
269 pages
ISBN:9781450353526
DOI:10.1145/3127404
- General Chairs:
- Zili Zhang,
- Ning Gu,
- Program Chairs:
- Shaozi Li,
- Tun Lu,
- Li Li
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 September 2017
Check for updates
Author Tags
Qualifiers
- Poster
- Research
- Refereed limited
Funding Sources
- Science and Technology Projects of Gongdong Province, China
- National Natural Science Funds of China
Conference
ChineseCSCW '17
ChineseCSCW '17: Chinese Conference on Computer Supported Cooperative Work and Social Computing
September 22 - 23, 2017
Chongqing, China
Acceptance Rates
ChineseCSCW '17 Paper Acceptance Rate 21 of 84 submissions, 25%;
Overall Acceptance Rate 21 of 84 submissions, 25%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 359Total Downloads
- Downloads (Last 12 months)36
- Downloads (Last 6 weeks)1
Reflects downloads up to 14 Sep 2024
Other Metrics
Citations
Cited By
View all- Wang HGu ZGu M(2022)Job Recommendation Algorithm Based on Knowledge Graph2022 IEEE 8th International Conference on Computer and Communications (ICCC)10.1109/ICCC56324.2022.10065776(2023-2027)Online publication date: 9-Dec-2022
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in