Recall oriented search on the web using semantic annotations

Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.

[1]  Lada A. Adamic,et al.  How to search a social network , 2005, Soc. Networks.

[2]  Monika Henzinger,et al.  Analysis of a very large web search engine query log , 1999, SIGF.

[3]  Tie-Yan Liu,et al.  A Theoretical Analysis of NDCG Type Ranking Measures , 2013, COLT.

[4]  Ido Dagan,et al.  Similarity-Based Models of Word Cooccurrence Probabilities , 1998, Machine Learning.

[5]  Krisztian Balog,et al.  Overview of the TREC 2010 Entity Track , 2010, TREC.

[6]  M. de Rijke,et al.  Using Intent Information to Model User Behavior in Diversified Search , 2013, DIR.

[7]  Steven S. Gensler.  Special Rules for Social Media Discovery , 2012 .

[8]  Douglas W. Oard,et al.  Information Retrieval for E-Discovery , 2013, Found. Trends Inf. Retr..

[9]  Franciska de Jong,et al.  When complexity becomes interesting , 2014, J. Assoc. Inf. Sci. Technol..

[10]  Massimo Melucci,et al.  Contextual Search: A Computational Framework , 2012, Found. Trends Inf. Retr..

[11]  Amanda Spink,et al.  How are we searching the World Wide Web? A comparison of nine search engine transaction logs , 2006, Inf. Process. Manag..

[12]  Egon L. van den Broek,et al.  Needle Custom Search - Recall-Oriented Search on the Web Using Semantic Annotations , 2014, ECIR.

[13]  T. Saracevic,et al.  Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance , 2007, J. Assoc. Inf. Sci. Technol..

[14]  Krisztian Balog,et al.  Overview of the TREC 2011 Entity Track , 2011, TREC.

[15]  Satoshi Sekine,et al.  A survey of named entity recognition and classification , 2007 .

[16]  Gerhard Fischer,et al.  Context-aware systems: the 'right' information, at the 'right' time, in the 'right' place, in the 'right' way, to the 'right' person , 2012, AVI.

[17]  Michael Gertz,et al.  Multilingual and cross-domain temporal tagging , 2012, Language Resources and Evaluation.

[18]  Simone Paolo Ponzetto,et al.  WikiRelate! Computing Semantic Relatedness Using Wikipedia , 2006, AAAI.