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Engineering search computing applications: vision and challenges
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Foundations of Software Engineering archive
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering table of contents
Amsterdam, The Netherlands
SESSION: Challenge paper table of contents
Pages: 365-372  
Year of Publication: 2009
ISBN:978-1-60558-001-2
Authors
Marco Brambilla  Politecnico di Milano, Milano, Italy
Stefano Ceri  Politecnico di Milano, Milano, Italy
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted from multiple Web resources; therefore, conventional crawling and indexing techniques, which look at individual Web pages, are not adequate for them. In this paper, we sketch the main characteristics of search computing and we highlight how various classical computer science disciplines - including software engineering, Web engineering, service-oriented architectures, data management, and human-computing interaction - are challenged by the search computing approach.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Amazon. Elastic Compute Cloud (EC2). http://aws.amazon.com/ec2/
 
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C. Fellbaum, ed. WordNet: An Electronic Lexical Database (Language, Speech, and Communication). MIT Press, May 1998.
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C. D. Manning. Probabilistic Syntax. In Rens Bod, Jennifer Hay, and Stefanie Jannedy (eds), Probabilistic Linguistics, pp. 289--341. Cambridge, MA: MIT Press, 2003.
 
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MetaSearch. http://www.lib.berkeley.edu/TeachingLib/Guides/Internet/MetaSearch.html.
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M. Papazouglu and K. Pohl eds, Wp 2009-2010 expert group: Longer term research challenges in software&services. 2008.
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Stanford Natural Language Processing Group. Statistical parser. http://nlp.stanford.edu/software/lex-parser.shtml
 
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Collaborative Colleagues:
Marco Brambilla: colleagues
Stefano Ceri: colleagues