BibSonomyburst/tag/wwwBibSonomy RSS feed for /tag/www2012-02-14T20:22:24+01:00http://www.bibsonomy.org/bibtex/25a061b694a475d34557c7e0a9ff9854b/telekomatelekoma2012-02-02T16:13:22+01:00ai bachelor:2011:bachmann naiveBayes webclassificatoion www <span class="authorEditorList"><a href="/author/Craven">Mark Craven</a>, <a href="/author/DiPasquo">Dan DiPasquo</a>, <a href="/author/Freitag">Dayne Freitag</a>, <a href="/author/McCallum">Andrew McCallum</a>, <a href="/author/Mitchell">Tom Mitchell</a>, <a href="/author/Nigam">Kamal Nigam</a>, and <a href="/author/Slattery">Seán Slattery</a> </span><em>Artificial Intelligence</em> <em>118(1–2):69 - 113</em> (<em>2000</em>)Thu Feb 02 16:13:22 CET 2012Artificial Intelligence1–269 - 113Learning to construct knowledge bases from the World Wide Web1182000ai bachelor:2011:bachmann naiveBayes webclassificatoion www The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more effective retrieval of Web information, and promote new uses of the Web to support knowledge-based inference and problem solving. Our approach is to develop a trainable information extraction system that takes two inputs. The first is an ontology that defines the classes (e.g., company, person, employee, product) and relations (e.g., employed_by, produced_by) of interest when creating the knowledge base. The second is a set of training data consisting of labeled regions of hypertext that represent instances of these classes and relations. Given these inputs, the system learns to extract information from other pages and hyperlinks on the Web. This article describes our general approach, several machine learning algorithms for this task, and promising initial results with a prototype system that has created a knowledge base describing university people, courses, and research projects.Learning to construct knowledge bases from the World Wide Web 10.1016/S0004-3702(00)00004-7 : Artificial Intelligence | ScienceDirect.comhttp://www.bibsonomy.org/bibtex/2f80e837d487e1673f51bcd797ade75ec/fairybassletfairybasslet2011-12-21T01:05:11+01:00WWW <span class="authorEditorList"><a href="/author/Barillot">Emmanuel Barillot</a>, and <a href="/author/Achard">Frédéric Achard</a> </span><em>Trends in Biotechnology</em> <em>18(8):331-333</em> (<em>2000</em>)Wed Dec 21 01:05:11 CET 2011Trends in Biotechnology8331-333XML: a lingua franca for science?182000WWW XML is a new language designed to solve one of the biggest problems of the World Wide Web: its main language, HTML, is not extensible. In this article, the authors discuss the current successes and limitations of the World Wide Web, briefly explain the basics of XML and present the benefits of using XML as a data-exchange language. Finally, they discuss real-life applications that have been developed using XML, with a focus on biology.http://www.bibsonomy.org/bibtex/26827975696c60f6464239d4d22b4dbca/maxirichtermaxirichter2011-12-06T11:55:58+01:00web www <span class="authorEditorList"><a href="/author/Vafopoulos">Michalis Vafopoulos</a> </span>(<em>2011</em>)<em>cite arxiv:1112.0992 . </em>Tue Dec 06 11:55:58 CET 2011cite arxiv:1112.0992The Web economy: goods, users, models and policies2011web www Web emerged as an antidote to the rapidly increasing quantity of accumulated knowledge and become successful because it facilitates massive participation and communication with minimum costs. Today, its enormous impact, scale and dynamism in time and space make very difficult (and sometimes impossible) to measure and anticipate the effects in human society. In addition to that, we demand from the Web to be fast, secure, reliable, all-inclusive and trustworthy in any transaction. The scope of the present article is to review a part of the Web economy literature that will help us to identify its major participants and their functions. The goal is to understand how the Web economy differs from the traditional setting and what implications have these differences. Secondarily, we attempt to establish a minimal common understanding about the incentives and properties of the Web economy. In this direction the concept of Web Goods and a new classification of Web Users are introduced and analyzed This article, is not, by any means, a thorough review of the economic literature related to the Web. We focus only on its relevant part that models the Web as a standalone economic artifact with native functionality and processes. The Web economy: goods, users, models and policieshttp://www.bibsonomy.org/bibtex/207530381659f0d232d5904944d7c7a48/tevan100tevan1002011-11-12T18:54:58+01:00Folksonomies Folksonomy IR Indexing Information_Retrieval irhhu web2.0 www <span class="authorEditorList"><a href="/author/Peters, I. &amp; Stock">W. Peters, I. &amp; Stock</a> </span><em>De Gruyter - Saur, </em><em>Berlin, </em>(<em>2009</em>)Sat Nov 12 18:54:58 CET 2011Berlin443Folksonomies. Indexing and Retrieval in Web 2.02009Folksonomies Folksonomy IR Indexing Information_Retrieval irhhu web2.0 www http://www.bibsonomy.org/bibtex/2f3bbb9c792ba4adef0dc23595c002a06/danielnygadanielnyga2011-10-14T11:49:22+02:00myown nlp robot www <span class="authorEditorList"><a href="/author/Tenorth">M. Tenorth</a>, <a href="/author/Nyga">D. Nyga</a>, and <a href="/author/Beetz">M. Beetz</a> </span><em>Robotics and Automation ICRA, 2010 IEEE International Conference on, </em><em>page 1486--1491. </em><em>IEEE, </em>(<em>2010</em>)Fri Oct 14 11:49:22 CEST 2011Robotics and Automation (ICRA), 2010 IEEE International Conference on1486--1491Understanding and executing instructions for everyday manipulation tasks from the world wide web2010myown nlp robot www http://www.bibsonomy.org/bibtex/23c1495499dfc30f77b06b7dfcf227adc/ytyounytyoun2011-08-30T12:53:04+02:002010 imported proceedings www <span class="authorEditorList"><a href="/author/Rappa">Michael Rappa</a>, <a href="/author/Jones">Paul Jones</a>, <a href="/author/Freire">Juliana Freire</a>, and <a href="/author/Chakrabarti">Soumen Chakrabarti</a> (Eds.). </span><em>ACM, </em>(<em>2010</em>)Tue Aug 30 12:53:04 CEST 2011WWWProceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 201020102010 imported proceedings www http://www.bibsonomy.org/bibtex/2129a28b563c30a2da1389b06c5eec57e/hankenchankenc2011-07-12T20:30:28+02:00bank börse internet kreditwirtschaft myown www <span class="authorEditorList"><a href="/author/Kröger">Detlef. Kröger</a>, <a href="/author/Göers">Jutta. Göers</a>, and <a href="/author/Hanken">Claas. Hanken</a> </span><em>Luchterhand, </em><em>Neuwied, </em>(<em>1997</em>)Tue Jul 12 20:30:28 CEST 2011Neuwied--Internet zu Bank & Börse1997bank börse internet kreditwirtschaft myown www http://www.bibsonomy.org/bibtex/2736197a385d3b72b52db5b84ab26a29f/hankenchankenc2011-07-12T20:29:01+02:00internet juristen myown rechtsanwälte richter verschlüsselung www <span class="authorEditorList"><a href="/author/Kröger">Detlef. Kröger</a>, <a href="/author/Göers">Jutta. Göers</a>, and <a href="/author/Hanken">Claas. Hanken</a> </span><em>Luchterhand, </em><em>Neuwied, </em>(<em>1998</em>)Tue Jul 12 20:29:01 CEST 2011Neuwied--Internet für Juristen : weltweiter Zugriff auf juristische Informationen1998internet juristen myown rechtsanwälte richter verschlüsselung www http://www.bibsonomy.org/bibtex/2d1f626beb38c8c0a6fadfa7d3bdc18e7/anit_1374anit_13742011-06-13T13:34:02+02:00Linkanalysis WWW relatedcommunities <span class="authorEditorList"><a href="/author/Toyoda">Masashi Toyoda</a>, and <a href="/author/Kitsuregawa">Masaru Kitsuregawa</a> </span><em>Proceedings of the 12th ACM conference on Hypertext and Hypermedia, </em><em>page 103--112. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2001</em>)Mon Jun 13 13:34:02 CEST 2011New York, NY, USAProceedings of the 12th ACM conference on Hypertext and Hypermedia103--112HYPERTEXT '01Creating a Web community chart for navigating related communities2001Linkanalysis WWW relatedcommunities Recent research on link analysis has shown the existence of numerous web communities on the Web. A web community is a collection of web pages created by individuals or any kind of associations that have a common interest on a specific topic. In this paper, we propose a technique to create a web community chart, that connects related web communities, from thousands of seed pages. This allows the user to navigate through related web communities, and can be used for a `What's Related Community' service that provides not only the web community including a given page but also related web communities. Our technique is based on a related page algorithm that gives related pages to a given page using only link analysis. We show that the algorithm can be used for creating the chart by applying the algorithm to each seed, then using similarities of the results to classify seeds into clusters and to deduce their relationships. We perform experiments to create a web community chart of companies and organizations from thousands of seed pages. First, we improve the precision of an existing related page algorithm, Companion, and evaluated the improved version, Companion-, by an user study. Then the chart is created using Companion-. The result chart consists of web communities including related pages, and paths between related web communities. From the chart, we can find many web communities of companies classified by their category of business, and relationships between the communities.Creating a Web community chart for navigating related communitieshttp://www.bibsonomy.org/bibtex/29365fc8afdf6799df1ff01e628c6643d/antjeantje2011-05-20T10:33:22+02:00browser history hypertext mosaic section-entwiuk www <span class="authorEditorList"><a href="/author/Andreessen">Marc Andreessen</a>, and <a href="/author/Bina">Eric J. Bina</a> </span><em>Internet Research</em> <em>20(4):472-487</em> (<em>2010 1994</em>)Fri May 20 10:33:22 CEST 2011Internet Research4472-487NCSA Mosaic: a global hypermedia system.202010 (1994)browser history hypertext mosaic section-entwiuk www http://www.bibsonomy.org/bibtex/2841127b6dc395380742bed4137d0cc41/antjeantje2011-05-20T10:21:50+02:00NCSA andreesen browser history mosaic section-entwiuk www <span class="authorEditorList"><a href="/author/Andreessen">Marc Andreessen</a> </span><em>National Center for Supercomputer Applications, </em>(<em>Feb 20, 1993</em>)Fri May 20 10:21:50 CEST 2011FebruarNCSA Mosaic Technical Summary; National Center for Supercomputing Applications1993NCSA andreesen browser history mosaic section-entwiuk www 20.http://www.bibsonomy.org/bibtex/21138ca5163658025a7764eb0015a9a7a/antjeantje2011-05-11T11:43:43+02:00history hypertext section-entwiuk world-wide-web www <span class="authorEditorList"><a href="/author/Berners-Lee">T. Berners-Lee</a>, and <a href="/author/Cailliau">R. Cailliau</a> </span><em>Proposal, </em><em>CERN, </em>(<em>1990</em>)Wed May 11 11:43:43 CEST 2011WorldWideWeb: Proposal for a HyperText ProjectProposal1990history hypertext section-entwiuk world-wide-web www HyperText is a way to link and access information of various kinds as a web of nodes in which the user can browse at will. Potentially, HyperText provides a single user-interface to many large classes of stored information such as reports, notes, data-bases, computer documentation and on-line systems help. We propose the implementation of a simple scheme to incorporate several different servers of machine-stored information already available at CERN, including an analysis of the requirements for information access needs by experiments.http://www.bibsonomy.org/bibtex/27025bb82bcc97e330af31c908df0818a/antjeantje2011-05-11T10:50:46+02:00CERN WWW erste-Version history world-wide-web <span class="authorEditorList"><a href="/author/Berners-Lee">Tim Berners-Lee</a> </span><em>CERN, </em><em>Genf, </em>(<em>März 1989</em>)Wed May 11 10:50:46 CEST 2011GenfMärzInformation Management: A Proposal1989CERN WWW erste-Version history world-wide-web http://www.bibsonomy.org/bibtex/2dfbac625b625de91ff92c6da65458016/vojvoj2011-05-02T13:37:47+02:00URI WWW identifier <span class="authorEditorList"><a href="/author/Berners-Lee">Tim Berners-Lee</a> </span><em>RFC, </em>(<em>June 1994</em>)Mon May 02 13:37:47 CEST 2011RFC61630Universal Resource Identifiers in WWW1994URI WWW identifier http://www.bibsonomy.org/bibtex/29b24966b2b9691fb7f5b4525c5ef4a07/vojvoj2011-05-02T12:49:57+02:00HTTP WWW origins <span class="authorEditorList"><a href="/author/Berners-Lee">Tim Berners-Lee</a> </span>(<em>1992</em>)Mon May 02 12:49:57 CEST 2011Basic HTTP as defined in 19921992HTTP WWW origins http://www.bibsonomy.org/bibtex/21875495ff962354aa3ac7e9e1e3c913f/vojvoj2011-05-02T09:41:46+02:00URL WWW origins <span class="authorEditorList"><a href="/author/Berners-Lee">Tim Berners-Lee</a> </span><em>Design Issues for the World Wide Web, </em>(<em>1991</em>)Mon May 02 09:41:46 CEST 2011Design Issues for the World Wide WebDocument Naming1991URL WWW origins http://www.bibsonomy.org/bibtex/202151ef0c1ba3864a46cf226606757d6/lantiqlantiq2011-03-14T01:00:41+01:00networks WWW <span class="authorEditorList"><a href="/author/Albert">R. Albert</a>, <a href="/author/Jeong">H. Jeong</a>, and <a href="/author/Barabási">A. L. Barabási</a> </span><em>Nature</em> (<em>1999</em>)Mon Mar 14 01:00:41 CET 2011Nature130-131Diameter of the {World} {Wide} {Web}4011999networks WWW http://www.bibsonomy.org/bibtex/2dd29e4d138bca680b0e793636e37604d/antjeantje2011-02-26T16:45:51+01:00ToDo@DA ausleihen collaboration kollaboration section-entwiuk web2.0 wiki www <span class="authorEditorList"><a href="/author/Leuf">Bo Leuf</a>, and <a href="/author/Cunningham">Ward Cunningham</a> </span><em>Addison-Wesley Longman, </em><em>Amsterdam, </em><em>Pap/Cdr edition, </em>(<em>2001</em>)Sat Feb 26 16:45:51 CET 2011AmsterdamPap/CdrThe Wiki Way. Quick Collaboration on the Web.2001ToDo@DA ausleihen collaboration kollaboration section-entwiuk web2.0 wiki www http://www.bibsonomy.org/bibtex/245f8d8f2a8251a5e988c596a5ebb3f2d/dbenzdbenz2011-02-17T17:42:38+01:002010 collaborative_verbosity emergentsemantics_factors ibm-kde-tagging itegpub myown ol_web2.0 taggingsurvey www www2010 <span class="authorEditorList"><a href="/author/Körner">Christian Körner</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Strohmaier">Markus Strohmaier</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 19th International World Wide Web Conference WWW 2010, </em><em>Raleigh, NC, USA, </em><em>ACM, </em>(<em>April 2010</em>)Thu Feb 17 17:42:38 CET 2011Raleigh, NC, USAProceedings of the 19th International World Wide Web Conference (WWW 2010)aprStop Thinking, start Tagging - Tag Semantics emerge from Collaborative Verbosity20102010 collaborative_verbosity emergentsemantics_factors ibm-kde-tagging itegpub myown ol_web2.0 taggingsurvey www www2010 Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence the evolution of semantic structures in these systems. A natural hypothesis is that the quality of the emergent semantics depends on the pragmatics of tagging: Users with certain usage patterns might contribute more to the resulting semantics than others. In this work, we propose several measures which enable a pragmatic differentiation of taggers by their degree of contribution to emerging semantic structures. We distinguish between categorizers, who typically use a small set of tags as a replacement for hierarchical classification schemes, and describers, who are annotating resources with a wealth of freely associated, descriptive keywords. To study our hypothesis, we apply semantic similarity measures to 64 different partitions of a real-world and large-scale folksonomy containing different ratios of categorizers and describers. Our results not only show that ‘verbose’ taggers are most useful for the emergence of tag semantics, but also that a subset containing only 40% of the most ‘verbose’ taggers can produce results that match and even outperform the semantic precision obtained from the whole dataset. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics. This work is relevant for designers and analysts of tagging systems interested (i) in fostering the semantic development of their platforms, (ii) in identifying users introducing “semantic noise�?, and (iii) in learning ontologies.http://www.bibsonomy.org/bibtex/24205cf612f89526d39c080f2cea68c78/rinceddrincedd2011-02-16T11:23:35+01:00bow-tie graphs internet networks scale-free web www <span class="authorEditorList"><a href="/author/Broder">A. Broder</a> </span><em>Computer Networks</em> <em>33(1-6):309--320</em> (<em>June 2000</em>)Wed Feb 16 11:23:35 CET 2011Computer NetworksJune1-6309--320Graph structure in the Web332000bow-tie graphs internet networks scale-free web www The study of the Web as a graph is not only fascinating in its own right, but also yields valuable insight into Web algorithms for crawling, searching and community discovery, and the sociological phenomena which characterize its evolution. We report on experiments on local and global properties of the Web graph using two AltaVista crawls each with over 200 million pages and 1.5 billion links. Our study indicates that the macroscopic structure of the Web is considerably more intricate than suggested by earlier experiments on a smaller scale.