Query Understanding through Knowledge-Based Conceptualization

Wang, Zhongyuan; Zhao, Kejun; Wang, Haixun; Meng, Xiaofeng; Wen, Ji-Rong

Query Understanding through Knowledge-Based Conceptualization

Zhongyuan Wang, Kejun Zhao, Haixun Wang, Xiaofeng Meng, Ji-Rong Wen

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 3264-3269.

Abstract

The goal of query conceptualization is to map instances in a query to concepts defined in a certain ontology or knowledge base. Queries usually do not observe the syntax of a written language, nor do they contain enough signals for statistical inference. However, the available context, i.e., the verbs related to the instances, the adjectives and attributes of the instances, do provide valuable clues to understand instances. In this paper, we first mine a variety of relations among terms from a large web corpus and map them to related concepts using a probabilistic knowledge base. Then, for a given query, we conceptualize terms in the query using a random walk based iterative algorithm. Finally, we examine our method on real data and compare it to representative previous methods. The experimental results show that our method achieves higher accuracy and efficiency in query conceptualization.

Zhongyuan Wang, Kejun Zhao, Haixun Wang, Xiaofeng Meng, and Ji-Rong Wen. 2015. Query Understanding through Knowledge-Based Conceptualization. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 3264–3269. https://ijcai.org/proceedings/2015/460

@inproceedings{ijcai2015p460,
  title     = {Query Understanding through Knowledge-Based Conceptualization},
  author    = {Wang, Zhongyuan and Zhao, Kejun and Wang, Haixun and Meng, Xiaofeng and Wen, Ji-Rong},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {3264--3269},
  year      = {2015},
  month     = {7},
  note      = {Special Track on Knowledge Representation and Reasoning},
  url       = {https://ijcai.org/proceedings/2015/460},
}

TY  - CPAPER
TI  - Query Understanding through Knowledge-Based Conceptualization
AU  - Wang, Zhongyuan
AU  - Zhao, Kejun
AU  - Wang, Haixun
AU  - Meng, Xiaofeng
AU  - Wen, Ji-Rong
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 3264
EP  - 3269
UR  - https://ijcai.org/proceedings/2015/460
ER  -