NDLI: Query Expansion Based on the Distance Constraint Activation of Human Memory

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyu Zhao Xiangfeng Luo
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China (Xiaoyu Zhao; Xiangfeng Luo)
Abstract	Query Expansion is usually used to enhance user's query in document retrieval and knowledge recommender system. It aims to help user extend the original query to resolve the problems of user's fuzzy demand and limited domain knowledge when user faces complex knowledge demand. Current researches extend user's query mainly based on statistical method while the characteristics of human memory retrieval process are seldom taken into account. However, the process of human memory retrieval has good ability of extending the query when human faces fuzzy demand and limited domain knowledge. In this paper, we put forward a new model for Query Expansion based on the Distance Constraint Activation model of human memory. We build up the ALN (Association Link Network) of documents corpus to imitate human memory network and do the Distance Constraint Activation process on it in order to offer user Query Expansion service in accordance with the pattern of human memory retrieval process. Comparing with the traditional Query Expansion methods, our method is able to provide the semantic relation expansion and the semantic community expansion to the user. All these expansions aim to help user understand his/her demand or extend his/her knowledge in the domain corpus more easily. Several examples given in the experiments show that the semantic-close terms our method provides make the expansion terms more semantic coherent. And the semantic relations and semantic communities can give user a brief description of the knowledge to further understand his/her demand and extend his/her domain knowledge.
Starting Page	143
Ending Page	150
File Size	834629
Page Count	8
File Format	PDF
ISBN	9781479930128
DOI	10.1109/SKG.2013.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Adaptation models human memory retrieval process Biological system modeling Semantics Communities Association Link Network Information retrieval Vectors query expansion Spreading Activation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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