MetaLib, a service of the Catalog of U.S. Government Publications! MetaLib is a federated search engine that searches multiple U.S. Federal government databases, retrieving reports, articles, and citations while providing direct links to selected resources available online.
Reference Extract is envisioned as a web search engine. Reference Extracts will be built for maximum credibility by relying on the expertise and credibility judgments of librarians from around the globe. Users get results weighted towards sites most often referred to by librarians at 1,400 libraries worldwide.
relevant keyword suggestions and URLs. Community, which shows "like-minded" community users; and Personal, which is based on your previous search experience
Wolfram|Alpha is more than a search engine. It gives you access to the world's facts and data and calculates answers across a range of topics, including science, nutrition, history, geography, engineering, mathematics, linguistics, sports, finance, music...
BoardReader was developed to address the shortcomings of current search engine technology to accurately find and display information contained on the Web's forums and message boards.
K. Kingsley, G. Galbraith, M. Herring, E. Stowers, T. Stewart, and K. Kingsley. BMC medical education, (January 2011)6676<br/>JID: 101088679; OID: NLM: PMC3097006; 2010/06/29 received; 2011/04/25 accepted; 2011/04/25 aheadofprint; epublish;<br/>Cerca bibliogràfica.
E. Giglia. European journal of physical and rehabilitation medicine, 44 (2):
221-30(June 2008)5633<m:linebreak></m:linebreak>LR: 20100601; JID: 101465662; ppublish;<m:linebreak></m:linebreak>Cerca bibliogràfica.
K. Becker, and F. Stalder (Eds.) Studien-Verlag, Innsbruck u.a., (2009)Viele Beiträge in diesem Band wurden zuerst auf der Deep Search-Konferenz vorgestellt, die am 8. November 2008 in Wien stattfand..
J. Waitelonis, and H. Sack. Proceedings of International Conference on Semantic Systems (i-semantics), September 2-4, 2009, Graz, Austria, Verlag der TU Graz, Austria, (2009)
J. Waitelonis, M. Knuth, L. Wolf, J. Hercher, and H. Sack. Proceedings of the Workshop on Linked Data in the Future Internet at the Future Internet Assembly, December 16-17, 2010, Ghent, Belgium, CEUR Workshop Proceedings, 700, (2010)
J. Osterhoff, J. Waitelonis, and H. Sack. Proc. of 2. Workshop Interaktion und Visualisierung im Daten-Web (IVDW 2012), im Rahmen der INFORMATIK 2012, Braunschweig, (2012)
S. Linckels, H. Sack, and C. Meinel. in Proc. Workshop on Service Matchmaking and Resource Retrieval (SMR 2007) at the 6 th International Semantic Web Conference (ISWC + ASWC 2007), (November 2007)
H. Sack. Proceedings of SWAP 2005, the 2nd Italian Semantic Web Workshop, CEUR Workshop Proceedings (2005), volume 166 of CEUR Workshop Proceedings, Trento, Italy, CEUR-WS.org, (December 2005)
J. Waitelonis, N. Ludwig, and H. Sack. Proceedings of 5th International Conference on Semantic and Digital Media (SAMT 2010), December 1-3, 2010, DFKI Saarbrücken, Germany, (2010)
B. Pinkerton. Proceedings of the 2nd International World Wide Web, volume 18(6) of Online & CDROM review: the international journal of, Medford, NJ, USA, Learned Information, (1994)
Z. Bar-Yossef, I. Keidar, and U. Schonfeld. WWW '07: Proceedings of the 16th international conference on World Wide Web, page 111--120. New York, NY, USA, ACM, (2007)
R. Baeza-Yates, L. Calderón-Benavides, and C. González-Caro. Proceedings of String Processing and Information Retrieval (SPIRE ), volume 4209 of Lecture Notes in Computer Science, page 98--109. Springer, (2006)
D. Cohn, and H. Chang. ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning, page 167--174. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2000)
H. Sack, and J. Waitelonis. in Proc. of 5. e-Learning Fachtagung Informatik, DeLFI 2007, volume P-111 of Lecture Notes in Informatics (LNI), Bonn, Köllen, (2007)
J. Waitelonis, and H. Sack. Proceedings of the 2nd IEEE International Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA), in conjunction with IEEE International Symposium on Multimedia (ISM), 14-16 December, 2009, San Diego, California, USA, page 540--545. IEEE Computer Society, (2009)
S. Dumais, E. Cutrell, J. Cadiz, G. Jancke, R. Sarin, and D. Robbins. Proc. of the 26th annual international ACM SIGIR conference on Researchand development in informaion retrieval, page 72 - 79. Torontoand Canada, ACM Press New Yorkand NYand USA, (2003)
X. Wang, and C. Zhai. Proceedings of the 30 th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007, (2007)
C. Dwork, R. Kumar, M. Naor, and D. Sivakumar. WWW '01: Proceedings of the 10th international conference on World Wide Web, page 613--622. New York, NY, USA, ACM Press, (2001)
G. Manku, A. Jain, and A. Sarma. WWW '07: Proceedings of the 16th international conference on World Wide Web, page 141--150. New York, NY, USA, ACM, (2007)
A. Broder, M. Najork, and J. Wiener. WWW '03: Proceedings of the 12th international conference on World Wide Web, page 679--689. New York, NY, USA, ACM, (2003)
S. Repp, J. Waitelonis, H. Sack, and C. Meinel. in Proc. of 8 th Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL 2007), (2007)
R. Baeza-Yates, and C. Castillo. Soft Computing Systems - Design, Management and, page 565--572. IOS Press Amsterdam, Berlin, Oxford, Tokyo, Washington, (2002)
S. Brin, and L. Page. http://ilpubs.stanford.edu:8090/361/, (1998)In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/. To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want..