Clustering web documents: a phrase-based method for grouping search engine results
Clustering web documents: a phrase-based method for grouping search engine results
Exploring the computing literature with visualization and stepping stones & pathways
Communications of the ACM - Supporting exploratory search
Ranked-Listed or Categorized Results in IR: 2 Is Better Than 1
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Web Search Results Clustering Based on a Novel Suffix Tree Structure
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Supporting Systematic Reviews Using Text Mining
Social Science Computer Review
Query Results Clustering by Extending SPARQL with CLUSTER BY
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
GRAPE: a system for disambiguating and tagging people names in web search
Proceedings of the 19th international conference on World wide web
Summarizing textual information about locations in a geo-spatial information display system
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Summarizing textual information about locations
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
ASPARAGUS - a system for automatic SPARQL query results aggregation using semantics
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Proceedings of the Workshop on Semantic Analysis in Social Media
KACTL: knowware based automated construction of a treelike library from web documents
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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In this paper we present the design goals and implementation outline of Carrot2, an open source framework for rapid development of applications dealing with Web Information Retrieval and Web Mining. The framework has been written from scratch keeping in mind flexibility and efficiency of processing. We show two software architectures that meet the requirements of these two aspects and provide evidence of their use in clustering of search results. We also discuss the importance and advantages of contributing and integrating the results of scientific projects with the open source community.