Keyword search approach for knowledge base in ScholarSpace

He-han LI; Xiao-feng MENG; Lei ZOU

doi:10.11959/j.issn.1000-436x.2015312

您当前的位置：

首页 >

文章列表页 >

Keyword search approach for knowledge base in ScholarSpace

Search | 更新时间：2024-06-05

- Keyword search approach for knowledge base in ScholarSpace
- Journal on Communications Vol. 36, Issue 12, Pages: 28-36(2015)
- 作者机构：
  
  1. 中国人民大学信息学院，北京 100872
  2. 北京大学计算机科学技术研究所，北京 100871
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61379050);The National Natural Science Foundation of China(91224008);Science Research Foundation of Renmin University of China(11XNL010)
- DOI：10.11959/j.issn.1000-436x.2015312
  CLC： TP311.1
- Online First：2015-12，
  
  Published：25 December 2015
- 稿件说明：
移动端阅览
He-han LI, Xiao-feng MENG, Lei ZOU. Keyword search approach for knowledge base in ScholarSpace[J]. Journal on Communications, 2015, 36(12): 28-36.
DOI：

He-han LI, Xiao-feng MENG, Lei ZOU. Keyword search approach for knowledge base in ScholarSpace[J]. Journal on Communications, 2015, 36(12): 28-36. DOI： 10.11959/j.issn.1000-436x.2015312.

摘要

知识库中存储着大量关于真实世界中的实体信息及实体之间的关系，随着规模的不断增长，其应用也愈发广泛。另一方面，由于大量互联网用户通过关键词描述问题和查询意图，因此如何让知识库具备更好的关键词查询应答能力，成为了研究的热点。从中文知识库的构建入手，提出了一套完整的面向中文限定领域知识库的关键词检索框架，实现并改进了基于模板的关键词查询转换方法，提出了基于语义的知识库释义和实体索引方法，提高了关键词映射能力。同时在SPARQL转换过程中采用了缺失关系索引，提高了转换成功率，提升了能够处理的查询数量。同时在学术空间ScholarSpace上对该框架进行了系统实现，取得了良好的应用效果。

Abstract

Knowledge bases (KB) store large amount of structured information about the entities and their relationships.As the scale of KBs increased

their application also varied.On the other side

large amount of users describe their question or query intention by submitting keyword queries.Thus enabling KB to answer these keyword queries becomes of crucial importance.A framework from building a Chinese KB to answering keyword search over it was established.A novel approach based on query template to translate the keyword queries into structured queries was proposed.A semantic based paraphrase and index approach to improve the result of query term mapping and an absent predicate index to deal with the predicate absence during the query translation step was proposed.Significant improvement of the ability of translating keyword query to structured query was achieved.Finally the framework and approach was implemented in the ScholarSpace system and get a good performance.

关键词

Keywords

references

MANOLA F ， MILLER E . RDF Premier [S ] . W3C Recommendation ， 2004 .

PRUD E , SEABORNE A . Sparql query language for rdf [EB/OL ] . http://www.w3.org/TR/rdf-sparql-query/ http://www.w3.org/TR/rdf-sparql-query/ , 2006 .

LEI Y , UREN V , MOTTA E . Semsearch:a search engine for the semantic Web [A ] . Managing Knowledge in a World of Networks [C ] . Springer Berlin Heidelberg , 2006 . 238 - 245 .

SHEKARPOUR S , AUER S , NGOMO A C N , et al . Keyword-driven sparql query generation leveraging background knowledge [A ] . Web Intelligence and Intelligent Agent Technology (WI-IAT),2011 IEEE/WIC/ACM International Conference [C ] . 2011 . 203 - 210 .

POUND J , HUDEK A K , ILYAS I F , et al . Interpreting keyword queries over Web knowledge bases [A ] . Proceedings of the 21st ACM International Conference on Information and Knowledge Management [C ] . ACM , 2012 . 305 - 314 .

YAHYA M , BERBERICH K , ELBASSUONI S , et al . Natural language questions for the Web of data [A ] . Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning [C ] . Association for Computational Linguistics , 2012 . 379 - 390 .

ZOU L , HUANG R , WANG H , et al . Natural language question answering over rdf:a graph data driven approach [A ] . Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data [C ] . ACM , 2014 . 313 - 324 .

DING B , XU Y J , WANG S , et al . Finding top-k min-cost connected trees in databases [A ] . Data Engineering,IEEE 23rd International Conference [C ] . 2007 . 836 - 845 .

TRAN T , WANG H , RUDOLPH S , et al . Top-k exploration of query candidates for efficient keyword search on graph-shaped (rdf) data [A ] . Data Engineering,IEEE 25th International Conference [C ] . 2009 . 405 - 416 .

BHALOTIA G , HULGERI A , NAKHE C , et al . Keyword searching and browsing in databases using BANKS [A ] . Data Engineering,Proceedings 18th International Conference [C ] . 2002 . 431 - 440 .

POUND J , ILYAS I F , WEDDELL G . Expressive and flexible access to Web-extracted data:a keyword-based structured query language [A ] . Proceedings of the 2010 ACM SIGMOD International Conference on Management of data [C ] . 2010 . 423 - 434 .

FADER A , SODERLAND S , ETZIONI O . Identifying relations for open information extraction [A ] . Proceedings of the Conference on Empirical Methods in Natural Language Processing Association for Computational Linguistics [C ] . 2011 . 1535 - 1545 .

NAKASHOLE N , WEIKUM G , SUCHANEK F . PATTY:a taxonomy of relational patterns with semantic types [A ] . Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning [C ] . 2012 . 1135 - 1145 .

MILLER G A . WordNet:a lexical database for English [J ] . Communications of the ACM , 1995 , 38 ( 11 ): 39 - 41 .

MIKOLOV T , SUTSKEVER I , CHEN K , et al . Distributed representations of words and phrases and their compositionality [A ] . Advances in Neural Information Processing Systems [C ] . 2013 . 3111 - 3119 .

QIU X , ZHANG Q , HUANG X . FudanNLP:a toolkit for chinese natural language processing [A ] . ACL Conference System Demonstrations [C ] . 2013 . 49 - 54 .

BARR C , JONES R , REGELSON M . The linguistic structure of English Web-search queries [A ] . Proceedings of the Conference on Empirical Methods in Natural Language Processing Association for Computational Linguistics [C ] . 2008 . 1021 - 1030 .

SHA F , PEREIRA F . Shallow parsing with conditional random fields [A ] . Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1 Association for Computational Linguistics [C ] . 2003 . 213 - 220 .

Views

850

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

6G knowledge system construction: academic knowledge mining and on-demand application for full domains and omni scenarios

Exploratory search on big data

Related Author

Zifan SHA

Nan CHENG

Yilong HUI

Wenwei YUE

Yuchuan FU

Ruijin SUN

Xiao-yong DU

Jun CHEN

Related Institution

State Key Laboratory of Integrated Services Network, Xidian University

MOE Key Laboratory of Data Engineering and Knowledge Engineering,Renmin University of China

AI问答

⁰