Sciencenet Sciencenet is a distributed search engine at KIT – Liebel-Lab for scientific knowledge. The Sciencenet software (YaCy) is based on p2p technology developed by Michael Christen in collaboration with Liebel-lab at KIT. Background[edit] Scientific knowledge is spread across many databases, research institutes, educational websites and literature repositories. Sciencenet architecture[edit] Sciencenet is a network of Linux PCs running "YaCy" software. Sciencenet-YaCy software has been designed and tested to run in a network with at least 2000 CPUs, with up to 10 million webpages per single CPU, allowing to search large and/or distributed information repositories. Mission[edit] Any university / research institute is encouraged to use the software and contribute to the scientific network. The sciencenet ideally provides a free, open scientific search engine index to the community. Sciencenet current status[edit] References[edit] External links[edit] The Sciencenet search portal
Search Engines & Discovery Tools This is a page of the DIRECTORY OF LEARNING & PERFORMANCE TOOLSIf you would like to submit a tool for this Directory, please use this form. Top Tools 2014 Free Tool 43 marks : Start your search here. Hosted Ambiently : Semantically connects webpages of similar or related meanings together. Bing : Microsoft’s search engine. Boolify : Makes it easier for students to understand their web search by illustrating the logic of their search, and by showing them how each change to their search instantly changes their results. ButtonALL : All your favourite search engines and reference websites aggregated on ONE page. BuzzzyA search engine for Google Buzz. DeeperWeb : Search engine tool for Google users that allows navigating through search results by employing Tag Cloud techniques. dogpile : Meta search engine. Factbites : Where results make sense. Find that File : comprehensive file search for the Internet. Google Search : Powerful search engine. How do I : Instructional video search.
First Intelligent Financial Search Engine Developed Researchers from the Carlos III University of Madrid (UCM3) have completed the development of the first search engine designed to search for information from the financial and stock market sector based on semantic technology, which enables one to make more accurate thematic searches adapted to the needs of each user. Unlike conventional search engines, SONAR -so named by its creators- enables the user to perform structured searches which are not based solely on concordance with a series of key words. This corporate financial search engine based on semantic technology, as described on the project website ( was developed by researchers from the UC3M in partnership with the University of Murcia, el Instituto de Empresa (the Business Institute) and the company Indra. According to its creators, it has two main advantages. First, its effectiveness in a concrete domain- that of finance- which is closely defined and has very precise vocabulary. Potential users
UB Bielefeld: Wie finde ich die passende Suchmaschine? Hier erfahren Sie - als Einstieg in unser Suchmaschinen-Tutorial -, welche Arten von Suchmaschinen es gibt, worin sie sich unterscheiden und wann man sie am besten einsetzt. An dieser Stelle gehen wir zuerst einmal auf die Grundlagen ein, die Ihnen vor einer Recherche bekannt sein sollten. Ein Grundsatz, den Sie bei der Recherche immer beherzigen sollten, wenn Sie verlässliche Informationen suchen: Verlassen Sie sich nicht nur auf eine QuelleSetzen Sie verschiedene Suchmaschinen einSchauen Sie sich verschiedene Webseiten aus einer Trefferliste an Wenn Sie mit diesen Grundlagen schon vertraut sind, können Sie direkt die Seite Die besten Suchmaschinen aufrufen. Welche Arten von Suchmaschinen gibt es? Keine Suchmaschine hat auf jede Fragestellung eine Antwort - auch nicht Google, die mit Abstand größte und erfolgreichste Suchmaschine der Welt. Suchmaschinen Suchmaschinen eignen sich besonders gut, wenn Sie aktuellere Informationen oder Fakten suchen. Spezialsuchmaschinen Metasuchmaschinen
Comment fabriquer son propre moteur de recherche social Google Custom Search n’est pas un nouvel outil. Cependant, et pour celles et ceux qui ne l’ont pas encore exploré, il permet de faciliter certaines recherches répétitives sur les pages Facebook, les commentaires de blogs, les forums… Voire de fournir un support de diffusion de l’information intéressant. Voyons pourquoi, et comment construire son propre moteur de recherche social. Bien évidemment, les spécialistes et techniciens de la veille connaissent déjà cet outil et sont pour la plupart passés au niveau au-dessus, notamment avec Yahoo Pipes (outil dont j’essaierai de vous présenter une approche du même style bientôt). Cependant, et comme dit en introduction, configurer un Custom Search présente certains avantages : ==> Automatiser des recherches répétitives comme : => identifier des profils Twitter, ou des pages/groupes/statuts Facebook liés à un sujet (ou celles utilisant le nom de votre organisation) => rechercher uniquement dans les commentaires d’un blog ou d’une plateforme de blogs
KartOO 10 Search Engines to Explore the Deep End of the Invisible Web Not everything on the web will show up in a list of search results on Google or Bing; there are lots of places that their web crawlers cannot access. To explore the invisible web, you need to use specialist search engines. Here are our top 12 services to perform a deep internet search. What Is the Invisible Web? Before we begin, let's establish what does the term "invisible web" refer to? Simply, it's a catch-all term for online content that will not appear in search results or web directories. There are no official data available, but most experts agree that the invisible web is several times larger than the visible web. The content on the invisible web can be roughly divided into the deep web and the dark web. The Deep Web The deep web made up of content that typically needs some form of accreditation to access. If you have the correct details, you can access the content through a regular web browser. The Dark Web The dark web is a sub-section of the deep web. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
Suchmaschine Socl Community Kontakte Suchmaschine - Seitwert: Socl - Seitzeichen: Socl - Technorati: Socl So.cl: Menschen mit ähnlichen Interessen kennenlernen Socl ist ein Tool von Microsoft, mit dem man seine Online-Suchen mit anderen teilen und Personen mit ähnlichen Interessen kennenlernen kann. Außerdem kann man auf Socl diskutieren, kommentieren und mit anderen chatten.so.cl Details Deine Wertung! TalentBin Jobs Suchmaschine - Seitwert: TalentBin - Seitzeichen: TalentBin - Technorati: TalentBin TalentBin: Talentsuchmaschine TalentBin ist eine Suchmaschine, mit der Firmen und Recruiter die passenden Kandidaten für einen Job finden können. Deine Wertung! WGFinden Deutschsprachig Lokales Suchmaschine - Seitwert: WGFinden - Seitzeichen: WGFinden - Technorati: WGFinden WGFinden: Die passende WG finden Über WGFinden können Studenten die für sie perfekte WG finden. Deine Wertung! rentsocial Kontakte Lokales Suchmaschine - Seitwert: rentsocial - Seitzeichen: rentsocial - Technorati: rentsocial Deine Wertung!
Blekko Blekko, trademarked as blekko (lowercase),[2] is a company that provides a web search engine with the stated goal of providing better search results than those offered by Google Search, with results gathered from a set of 3 billion trusted webpages and excluded from such sites as content farms. The company's site, launched to the public on November 1, 2010, uses slashtags to provide results for common searches. Blekko also offers a downloadable search bar. History[edit] The company was co-founded in 2007 by Rich Skrenta, who had created Newhoo, which was acquired by Netscape and renamed as the Open Directory Project.[3] Skrenta "is still remembered most for unleashing the Elk Cloner virus on the world".[4] Blekko has raised $24 million in venture capital from such individuals as Netscape founder Marc Andreessen and Ron Conway, as well as from U.S. At the time, Blekko announced plans to earn revenue by selling ads based on slashtags and search results. Slashtags[edit] Features[edit]
Hunch Jumper 2.0 ApexKB (formerly Jumper 2.0), is an open source web application script for collaborative search and knowledge management powered by a shared enterprise bookmarking engine that is a fork of KnowledgebasePublisher.[1] It was publicly announced on 29 September 2008.[2] A stable version of Jumper (version 2.0.1.1) was publicly released under the GNU General Public License and made available on Sourceforge on 26 March 2009 as a free software download.[3] Jumper is Enterprise 2.0 software that empowers users to compile and share collaborative bookmarks by crowdsourcing their knowledge, experience and insights using knowledge tags. Features[edit] Jumper 2.0 is enterprise web-infrastructure for tagging and linking information resources.[5] Jumper 2.0 lets you search and share high-value content, media, or data across remote locations using knowledge tags to capture knowledge about the information in distributed storage. It collects these tags in a tag profile. Advantages[edit] History[edit]
Yoople! - Collaborative Web Search incollector