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If You Ask Nicely, I will Answer: Semantic Search and Today's Search Engines

by: Alessio Signorini, and Tomasz Imielinski

In: Proceedings of the 2009 IEEE International Conference on Semantic Computing Washington, DC, USA: IEEE Computer Society (2009) , p. 184--191.

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URL:	http://dx.doi.org/10.1109/ICSC.2009.31
DOI:	10.1109/ICSC.2009.31

Abstract—Today’s search engines are still very sensitive to the way queries are constructed. In some occasions, equivalent but slightly different forms of a query lead to completely different results. However, popular queries with only one right answer seem to be generally well served by search engines, which generally return the correct answer among their top 10 search results. Internet’s redundancy of information and the recent proliferation of user generated content helps search engines to remain almost entirely keyword oriented and still robustly handle equivalent versions of queries. In this paper we propose a family of metrics to evaluate the semantical invariance of a given search engine, and we report experimental results for well-known engines such as Google, Yahoo!, Live and Ask.com, as well as for new semantic search engines like Hakia and Cuil. Keywords-Semantic Search; Rephrasing Invariance; Results Stability; Search Engines;

Description

Comparison of popular and semantic search engines with new heuristics

BibTeX record

@inproceedings{Signorini:2009:YAN:1678992.1679885,
  abstract = {Abstract—Today’s search engines are still very sensitive to
the way queries are constructed. In some occasions, equivalent
but slightly different forms of a query lead to completely
different results. However, popular queries with only one right
answer seem to be generally well served by search engines,
which generally return the correct answer among their top
10 search results. Internet’s redundancy of information and
the recent proliferation of user generated content helps search
engines to remain almost entirely keyword oriented and still
robustly handle equivalent versions of queries. In this paper
we propose a family of metrics to evaluate the semantical
invariance of a given search engine, and we report experimental
results for well-known engines such as Google, Yahoo!, Live
and Ask.com, as well as for new semantic search engines like
Hakia and Cuil.
Keywords-Semantic Search; Rephrasing Invariance; Results
Stability; Search Engines;},
  acmid = {1679885},
  added-at = {2011-04-11T13:58:58.000+0200},
  address = {Washington, DC, USA},
  author = {Signorini, Alessio and Imielinski, Tomasz},
  biburl = {http://www.bibsonomy.org/bibtex/2a5d4038a01efd6032f812ba657bacde5/datentaste},
  booktitle = {Proceedings of the 2009 IEEE International Conference on Semantic Computing},
  description = {Comparison of popular and semantic search engines with new heuristics},
  doi = {http://dx.doi.org/10.1109/ICSC.2009.31},
  interhash = {0ac0a74887aef691f0d1c4ec1d31224a},
  intrahash = {a5d4038a01efd6032f812ba657bacde5},
  isbn = {978-0-7695-3800-6},
  keywords = {Semantic-search},
  numpages = {8},
  pages = {184--191},
  publisher = {IEEE Computer Society},
  series = {ICSC '09},
  timestamp = {2011-04-11T13:58:58.000+0200},
  title = {If You Ask Nicely, I will Answer: Semantic Search and Today's Search Engines},
  url = {http://dx.doi.org/10.1109/ICSC.2009.31},
  year = 2009
}

Endnote record

%0 Conference Paper
%1 Signorini:2009:YAN:1678992.1679885
%A Signorini, Alessio
%A Imielinski, Tomasz
%B Proceedings of the 2009 IEEE International Conference on Semantic Computing
%@ 978-0-7695-3800-6
%C Washington, DC, USA
%D 2009
%I IEEE Computer Society
%K 
%P 184--191
%T If You Ask Nicely, I will Answer: Semantic Search and Today's Search Engines
%R http://dx.doi.org/10.1109/ICSC.2009.31
%U http://dx.doi.org/10.1109/ICSC.2009.31
%X Abstract—Today’s search engines are still very sensitive to
the way queries are constructed. In some occasions, equivalent
but slightly different forms of a query lead to completely
different results. However, popular queries with only one right
answer seem to be generally well served by search engines,
which generally return the correct answer among their top
10 search results. Internet’s redundancy of information and
the recent proliferation of user generated content helps search
engines to remain almost entirely keyword oriented and still
robustly handle equivalent versions of queries. In this paper
we propose a family of metrics to evaluate the semantical
invariance of a given search engine, and we report experimental
results for well-known engines such as Google, Yahoo!, Live
and Ask.com, as well as for new semantic search engines like
Hakia and Cuil.
Keywords-Semantic Search; Rephrasing Invariance; Results
Stability; Search Engines;