TITLE

A Knowledge-Based Multi-Agent Approach for Initial Query Refinement in Information Retrieval

AUTHOR(S)

Ivanova, Tatyana; Momtchev, Ivan

PUB. DATE

September 2010

SOURCE

International Journal of Computer Science Issues (IJCSI);Sep2010, Vol. 7 Issue 5, p73

SOURCE TYPE

Academic Journal

DOC. TYPE

Article

ABSTRACT

Query refinement is one of the main approaches for overcoming natural language lexical ambiguity and improving the quality of search results in Information Retrieval. In this paper we propose a knowledge-rich personalized approach for iterative query reformulation before sending it to search engines and entropy-based approach for refinement quality estimation. The underling hypothesis is that the query reformulation entropy is a valuable characteristic of the refinement quality. We use multi-agent architecture to implement our approach. Experimental results confirm that there is a trend for significant improvement in the quality of search results for large values of entropy.

ACCESSION #

54903874

Tags: QUERY (Information retrieval system);  SEARCH engines;  MULTIAGENT systems;  ENTROPY (Information theory);  INFORMATION retrieval -- Management;  ONLINE information services;  DATABASE searching

 

Related Articles

• Web knowledge and Wordnet based Automatic Web Query Classification. Rose, S. Lovelyn; Chandran, K. R. // International Journal of Computer Applications;Mar2011, Vol. 17, p23 

  Web search queries are the starting point to access the contents in the WWW for most of the users. Capturing the user intent behind a query statement is crucial for any search engine and is equivalent to figuring out the category to which the query belongs to. In this paper, we analyze a...

• Impact of query intent and search context on clickthrough behavior in sponsored search. Ashkan, Azin; Clarke, Charles // Knowledge & Information Systems;Feb2013, Vol. 34 Issue 2, p425 

  Implicit feedback techniques may be used for query intent detection, taking advantage of user behavior to understand their interests and preferences. In sponsored search, a primary concern is the user's interest in purchasing or utilizing a commercial service, or what is called online commercial...

• Similar Document Search and Recommendation. Govindaraju, Vidhya; Ramanathan, Krishnan // Journal of Emerging Technologies in Web Intelligence;Feb2012, Vol. 4 Issue 1, p84 

  Query formulation is one of the most difficult aspects of search, especially for a novice user. We propose a new search interaction where the user searches with a reference document and the system learns from the user inputs over a period of time to "push" relevant and new content without...

• A non-parametric visual-sense model of images-extending the cluster hypothesis beyond text. Wan, Kong-Wah; Tan, Ah-Hwee; Lim, Joo-Hwee; Chia, Liang-Tien // Multimedia Tools & Applications;Feb2012, Vol. 56 Issue 3, p509 

  The main challenge of a search engine is to find information that are relevant and appropriate. However, this can become difficult when queries are issued using ambiguous words. Rijsbergen first hypothesized a clustering approach for web pages wherein closely associated pages are treated as a...

• Project Lefty: More Bang for the Search Query. Varnum, Ken // Computers in Libraries;Apr2010, Vol. 30 Issue 3, p20 

  The article focuses on Project Lefty, a search system that adds a layer on top of traditional search tools. According to the author, the system improves search queries and relevance rankings for web-scale discovery tools to make the results themselves more relevant to the specific query of the...

• IMPROVED SEARCH ENGINE USING CLUSTER ONTOLOGY. Bhagat, Gauri Suresh; Bewoor, Mrunal S.; Patil, Suhas // International Journal of Advances in Engineering & Technology;Nov2011, Vol. 1 Issue 5, p126 

  Search engine such as Google and yahoo returns a list of web pages that match the user query. It is very difficult for the user to find relevant web pages. Cluster based search engine can provide significantly more powerful models for searching a user query. Clustering is a process of forming...

• A Framework for Picture Extraction on Search Engine Improved and Meaningful Result. Sharma, Anamika; Sharma, Sarita // International Journal of Computer Science Issues (IJCSI);Sep2011, Vol. 8 Issue 5, p347 

  Searching is an important tool of information gathering, if information is in the form of picture than it play a major role to take quick action and easy to memorize. This is a human tendency to retain more picture than text. The complexity and the occurrence of variety of query can give...

• The Knowledge Maestro. Schlosser, Julie // Fortune;9/17/2007, Vol. 156 Issue 6, p36 

  This article discusses Wikipedia founder Jimmy Wales, how he created the world's largest community-written encyclopedia, and how its content has reshaped the way the world finds, shares, and debates information. Wales has been working with Wikia, Wikipedia's for profit sister site, that plans to...

• Ontology Driven Query Expansion for Better Image Retrieval.  // International Journal of Computer Applications;Aug2010, Vol. 5, p33 

  The article presents a study which proposes an approach for ontology driven query expansion for more efficient image retrieval. Association rules, generated by mining web logs and WorldNet, have been applied for query expansion process. It notes that search engines establish query expansion,...

Read the Article