Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research.
CORE (COnnecting REpositories) aims to facilitate free access to scholarly publications distributed across many systems. As of today, CORE gives you access to millions of scholarly articles aggregated from many Open Access repositories.
search engine that focuses on hobbyists, academics, and computer savvy people about subjects they were interested in and other personalized websites cuts out most of the commercial web. like the the earlier days of the internet.
Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research.
based on the PLOS library. a large-scale system of open, interactive and interlinked knowledge maps spanning all fields of research. Around these maps, we will develop a space for collective knowledge organisation and exploration
ALEXANDRIA Internet Archive Search Prototype. provides entity based search and exploration functionalities into the Web Archive of the Internet Archive allowing you to use (most of) the 1.9 million concepts of the German Wikipedia or (most of) the 5 million concepts of the English Wikipedia as search terms. For these search terms, the current version provides the most important results from the Internet Archive, ranking resources based on Bing search, with more sophisticated re-ranking in future releases, as well as related entity suggestions for most of the queries.
Censys is a search engine that allows computer scientists to ask questions about the devices and networks that compose the Internet. Driven by Internet-wide scanning, Censys lets researchers find specific hosts and create aggregate reports on how devices, websites, and certificates are configured and deployed.
Paperity is the first multi-disciplinary aggregator of peer-reviewed Open Access journals and papers, "gold" and "hybrid". ultimate goal is to aggregate 100% of Open Access literature, published in any place around the world, in any field of research.
Serendip-o-matic connects your sources to digital materials located in libraries, museums, and archives around the world. By first examining your research interests, and then identifying related content in locations such as the Digital Public Library of America (DPLA), Europeana, and Flickr Commons, our serendipity engine helps you discover photographs, documents, maps and other primary sources. Whether you begin with text from an article, a Wikipedia page, or a full Zotero collection, Serendip-o-matic's special algorithm extracts key terms and returns a surprising reflection of your interests.
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.
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...
Crowdbooster measures and optimizes your social media marketing by providing powerful, easy-to-use analytics and recommendations on Twitter and Facebook.
YaCy ist eine Suchmaschinensoftware die sich jeder installieren kann um damit ein Suchportal zu errichten, das Intranet zu indexieren oder andere Daten mit einer Suchfunktion zu erweitern. YaCy kann als Einzelinstallation betrieben werden aber die besondere Fähigkeit der Software ist die Vernetzung in einem Peer-to-Peer Suchmaschinennetz.
The term “Semantic Search” is certainly not new. However, it has taken on a new dimension and implications in both search and social engines today. In addition, it has had a strong impact on targeted semantic advertising.
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. 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.
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. 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)
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, 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)
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)
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)
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..
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)