parameter
status[996]
Libra


https://web.archive.org/web/20100111161643/http://libra.msra.cn:80/

logo_2007/
In 2007 the scientific search engine Libra, developed by Microsoft Research Asia and successor of Windows Live Academic, was launched. With Libra, Microsoft introduces an object-oriented approach. For Libra, central elements of scientific publications (author, location, organization or topic) are extracted and classified from web pages, web databases (such as DBLP, CiteSeer or ACM Digital Library) and PDF documents and the information on the objects (cited by, published in) is summarized in so-called web objects. In addition to the documents, conferences and journals are also indexed as separate object classes. These different objects in turn form a so-called "Object graph", which also contains the relationship between the individual objects. The objects each have a different relevance, which flows into the ranking. In 2009 Libra will be replaced by Microsoft Academic Search.

     
Language English



Launched 2007
Closed 2010



Developer Microsoft Research Asia



Country of Origin China



Owner
2007 - 2010 Microsoft



Topic Academic, Scientific or Educational SeEn



Region No Limitation



Technical functionalities
and/or
Strategy
Search engine for databases, repositories, portals and other closed (deep web) or open content collections



Used SeEn MSN Live Search






Older Version Internet Archive / WebCite






Name




Critical points




Features & Functionality




More




References & further Publications

Wikipedia (EN): https://en.wikipedia.org/wiki/Microsoft_Academic_Search
Wikipedia (Others): https://de.wikipedia.org/wiki/Live_Search
     

Other Sources

About Libra URL: https://web.archive.org/web/20070518163225/http://libra.msra.cn/about.htm
Nie, Z., Zhang, Y., Wen, J.-R., & Ma, W.-Y. (2005). Object-level ranking: Bringing order to web objects. In Proceedings of the 14th international conference on World Wide Web (WWW 05 ) (S. 567574). URL: https://doi.org/10.1145/1060745.1060828
Ortega, J. L. (2014). Academic search engines: a quantitative outlook. Oxford: Chandos Publishing. URL: https://doi.org/10.1016/B978-1-84334-791-0.50010-X




Created: 2017-05-01