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» Using query term order for result summarisation
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119
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WWW
2004
ACM
16 years 4 months ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
146
Voted
GISCIENCE
2004
Springer
159views GIS» more  GISCIENCE 2004»
15 years 9 months ago
The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing
Abstract. The SPIRIT search engine provides a test bed for the development of web search technology that is specialised for access to geographical information. Major components inc...
Christopher B. Jones, Alia I. Abdelmoty, David Fin...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
134
Voted
WEBI
2009
Springer
15 years 10 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...
137
Voted
WWW
2004
ACM
16 years 4 months ago
A hierarchical monothetic document clustering algorithm for summarization and browsing search results
Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest. In this paper, we propose a new hierar...
Krishna Kummamuru, Rohit Lotlikar, Shourya Roy, Ka...