Google stemming mechanisms

Journal of Information Science

Volumn 35, Issue 5, 2009, Pages 499-514

  Uyar, Ahmet ^a  

^a MERSIN UNIVERSITY   (Turkey)

Author keywords

Google; Search engines; Stemming

Indexed keywords

INFORMATION SCIENCE; INFORMATION SYSTEMS;

DOCUMENT-BASED; GOOGLE; STEMMING; WEB INTERFACE;

SEARCH ENGINES;

EID: 70350058942     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/1363459309336801     Document Type: Article

References (32)

1. J.B. Lovins, Development of a stemming algorithm, Mechanical Translation and Computational Linguistics 11 (1) (1968) 22-31.
2. M. Porter, An algorithm for suffix stripping, Program 14 (3) (1980) 130-137.
3. M. Kantrowitz, B. Mohit and V. Mittal, Stemming and its effects on TFIDF ranking, Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Athens, Greece, 2000) 357-359.
4. M. Hafer and S. Weiss, Word segmentation by letter succession varieties, Information Storage and Retrieval 10 (1974) 371-385.
5. M.F. Porter, Snowball: A Language for Stemming Algorithms. Available at: http://snowball.tartarus.org/texts/introduction.html (accessed January 2009 ).
6. The Essentials of Google Search. Available at: www.google.com/support/ websearch/bin/static.py?page=searchguides.html&ctx=basics (accessed January 2009 ).
7. The Official Blog of the Live Search Team at Microsoft, ĝ€Do what I mean, not what I say!ĝ€™. Available at: http://blogs.msdn.com/livesearch/archive/2007/10/24/do-what-i-mean-not-what-i- say-part-1-of-2.aspx (accessed January 2009 ).
8. Review of Yahoo! Search. Available at: www.searchengineshowdown.com/ features/yahoo/review.html (accessed January 2009 ).
9. S. Brin and L. Page, The anatomy of a large-scale hypertextual web search engine, Computer Networks and ISDN Systems 30 (1-7) (1998) 107-117.
10. A. Arasu, J. Cho, H. Garcia-Molina, A. Paepcke and S. Raghavan, Searching the web, ACM Transactions on Internet Technology 1 (1) (2001) 2-43.
11. G. Pant, P. Srinivasan and F. Menczer, Crawling the web. In: M. Levene and A. Poulovassilis (eds), Web Dynamics: Adapting to Change in Content, Size, Topology and Use ( Springer-Verlag, Heidelberg, 2004 ).
12. J. Zobel and A. Moffat, Inverted files for text search engines, ACM Computing Surveys 38 (2) (2006) 1-56.
13. A.N. Langville and C.D. Meyer, Googleĝ€™s PageRank and Beyond: The Science of Search Engine Rankings ( Princeton University Press, Princeton, NJ, 2006 ).
14. L.A. Barroso, J. Dean and U. Holzle, Web search for a planet: the Google cluster architecture, IEEE Micro 23 (2) 2003 22-28.
15. L. Vaughan and M. Thelwall, Scholarly use of the web: what are the key inducers of links to journal web sites?, Journal of the American Society for Information Science and Technology 54 (1) (2003) 29-38.
16. I.F. Aguillo, B. Granadino, J.L. Ortega and J.A. Prieto, Scientific research activity and communication measured with cybermetrics indicators, Journal of the American Society for Information Science and Technology 57 (10) (2006) 1296-1302.
17. J. Bar-Ilan, B.C. Peritz, Evolution, continuity, and disappearance of documents on a specific topic on the web: a longitudinal study of ĝ€?informetricsĝ€™, Journal of the American Society for Information Science and Technology 55 (11) (2004) 980-990.
18. M. Thelwall, R. Prabowo and R. Fairclough, Are raw RSS feeds suitable for broad issue scanning? A science concern case study, Journal of the American Society for Information Science and Technology 57 (12) (2006) 1644-1654.
19. R. Gligorov, Z. Aleksovski, W. ten Kate and F. van Harmelen, Using Google distance to weight approximate ontology matches, Proceedings of the 16th International Conference on the World Wide Web 2007 ( Banff, Alberta, Canada, 2007 ).
20. L. Vaughan and M. Thelwall, Search engine coverage bias: evidence and possible causes, Information Processing and Management 40 (4) (2004) 693-707.
21. S. Lawrence and C.L. Giles, Accessibility of information on the web, Nature 400 (1999) 107-109.
22. A. Gulli and A. Signorini, The indexable web is more than 11.5 billion pages, Proceedings of the 14th International Conference on the World Wide Web 2005 ( China, Japan, 2005 ).
23. D. Lewandowski, H. Wahlig and G. Meyer-Bautor, The freshness of web search engine databases, Journal of Information Science 32 (2) (2006) 131-148.
24. D. Lewandowski, A three-year study on the freshness of web search engine databases, Journal of Information Science 34 (6) (2008) 131-148.
25. M. Thelwall, Quantitative comparisons of search engine results, Journal of the American Society for Information Science and Technology 59 (11) (2008) 1702-1710.
26. A. Uyar, Investigation of the Accuracy of Search Engine Hit Counts, Journal of Information Science DOI: 10.1177/0615551509103598, Prepublished April 24, 2009.
27. B.L. Narayan and S.K. Pal, Distribution based stemmer refinement, Lecture Notes in Computer Science 3776 ( 2005 ).
28. M. Thelwall, Extracting accurate and complete results from search engines: case study Windows Live, Journal of the American Society for Information Science and Technology 59 (1) (2008) 38-50.
29. Z. Bar-Yossef and M. Gurevich, Random sampling from a search engineĝ€™s index, Journal of the ACM 55 (5) (2008) 1-74.
30. N. Eiron and K.S. McCurley, Analysis of anchor text for web search, Proceedings of 26th ACM SIGIR (2003) 459-460.
31. J. Bar-Ilan and T. Gutman, How do search engines respond to some non-English queries ? Journal of Information Science 31 (1) (2005) 13-28.
32. E. Toth, Exploring the capabilities of English and Hungarian search engines for various queries, Libri 56 (1) (2006) 38-47.