BibSonomyburst/user/lysander07/eswc2007BibSonomy RSS feed for /user/lysander07/eswc20072012-02-16T20:54:12+01:00http://www.bibsonomy.org/bibtex/2e3503c2d98ea28c9b9405ae4c2946bbd/lysander07lysander072007-11-29T14:55:17+01:00SAAW2006 Semantic_Web annotation eswc2007 indexing mypaper tagging <span class="authorEditorList"><a href="/author/Peter">Heiko Peter</a>, <a href="/author/Sack">Harald Sack</a>, and <a href="/author/Beckstein">Clemens Beckstein</a> </span><em>in Proc. of the 1st Semantic Authoring and Annotation Workshop SAAW2006, </em><em>Athens GA, USA, </em>(<em>2006</em>)<em>location=Athens GA, USA, date=2006 . </em>Thu Nov 29 14:55:17 CET 2007Athens (GA), USAin Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006)location={Athens (GA), USA}, date={2006}Tags and Dependencies: an Integrated View of Document Annotation2006SAAW2006 Semantic_Web annotation eswc2007 indexing mypaper tagging Metadata provided by annotations are an essential prerequisite for the realization of the semantic web. The manifold of metadata uses on the other hand also implies an abundance of different annotation types and formats, each requiring a different semantic treatment of the data. For semantically rich documents this results in a hybrid mixture of metadata about one and the same document. Further metadata diversity arises, if more than one author contributes to the annotation as it is typical for the now popular social tagging systems. Documents however, despite this heterogeneity show common structural properties that can be classified as logical, conceptual, and referential. There are intrinsic dependencies within and across those structures that have to be made explicit. We argue that the dependency structure as an explicit annotation is essential for any semantically rich document in order to be better understandable not only for man but also for machine.http://www.bibsonomy.org/bibtex/27331810a10386a0157bd77694142dafc/lysander07lysander072007-06-11T15:14:52+02:00Semantic_Web eswc2007 folksonomy ontologies web2.0 <span class="authorEditorList"><a href="/author/Siorpaes">Katharina Siorpaes</a>, and <a href="/author/Hepp">Martin Hepp</a> </span><em>Bridging the Gep between Semantic Web and Web 2.0 SemNet 2007, </em><em>page 127-138. </em>(<em>2007</em>)Mon Jun 11 15:14:52 CEST 2007Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)127-138myOntology: The Marriage of Ontology Engineering and Collective Intelligence2007Semantic_Web eswc2007 folksonomy ontologies web2.0 Despite very active research on ontologies, only few useful ontologies can be found on the Web. The reasons for this are manifold, but a major obstacle is that ontology engineering environments impose high entrance barriers on users, and that the community does not have control over the ontology evolution. Wikis are a way to allow a wide range of users to contribute to Web representations without requiring more than basic Web editing skills. In the myOntology project, we propose the use of wiki technology in order to enable collaborative and community-driven ontology building by giving users with no or little expertise in ontology engineering the opportunity to contribute. In this paper, we describe the myOntology project in which the challenges of collaborative, community-driven, and wiki-based ontology engineering are investigated. Our approach combines the simplicity of wikis with intuitive visualization techniques and small yet efficient helper functionality plus consensus finding support exploiting the collective intelligence of a community.http://www.bibsonomy.org/bibtex/255fd25e46e61b55ffaf0b30ceb2e41a7/lysander07lysander072007-05-02T09:41:02+02:00eswc2007 history memex tbv2007 www <span class="authorEditorList"><a href="/author/Bush">V. Bush</a> </span><em>The Atlantic Monthly</em> (<em>1945</em>)Wed May 02 09:41:02 CEST 2007The Atlantic MonthlyAs we may thinkJuly1945eswc2007 history memex tbv2007 www http://www.bibsonomy.org/bibtex/20c132ace9b59b1be2efc32fadd2c8fd9/lysander07lysander072007-03-26T09:45:45+02:00eswc2007 search searchengine <span class="authorEditorList"><a href="/author/Spink">Amanda Spink</a>, and <a href="/author/Ozmultu">H. Cenk Ozmultu</a> </span> (<em>January 2002</em>)Mon Mar 26 09:45:45 CEST 2007January~01Characteristics of question format web queries: an exploratory study2002eswc2007 search searchengine Web queries in question format are becoming a common element of a user{'}s interaction with Web search engines. Web search services such as Ask Jeeves . a publicly accessible question and answer (Q\&A) search engine . request users to enter question format queries. This paper provides results from a study examining queries in question format submitted to two different Web search engines -- Ask Jeeves that explicitly encourages queries in question format and the Excite search service that does not explicitly encourage queries in question format. We identify the characteristics of queries in question format in two different data sets: (1) 30,000 Ask Jeeves queries and (2) 15,575 Excite queries, including the nature, length, and structure of queries in question format. Findings include: (1) 50\% of Ask Jeeves queries and less than 1\% of Excite were in question format, (2) most users entered only one query in question format with little query reformulation, (3) limited range of formats for queries in question format . mainly {"}where{"}, {"}what{"}, or {"}how{"} questions, (4) most common question query format was {"}Where can I find.........{"} for general information on a topic, and (5) non-question queries may be in request format. Overall, four types of user Web queries were identified: keyword, Boolean, question, and request. These findings provide an initial mapping of the structure and content of queries in question and request format. Implications for Web search services are discussed.http://www.bibsonomy.org/bibtex/2faa9b8edb36f74fbda19f22b79680039/lysander07lysander072007-01-28T17:29:41+01:00standard topicmaps eswc2007 <span class="authorEditorList"><a href="/author/Garshol">Lars Marius Garshol</a>, and <a href="/author/Moore">Graham Moore</a> </span><em>Final Draft, </em><em>ISO/IEC, </em>(<em>April 2006</em>)Sun Jan 28 17:29:41 CET 200716.~December{ISO 13250-2: Topic Maps --- Data Model}Final Draft2005standard topicmaps eswc2007 http://www.bibsonomy.org/bibtex/28c8c2bb56cc306a12763ea55296b5aa0/lysander07lysander072007-01-28T17:19:21+01:00Semantic_Web ai eswc2007 memex ontologies <span class="authorEditorList"><a href="/author/Gemmell">Jim Gemmell</a>, <a href="/author/Bell">Gordon Bell</a>, <a href="/author/Lueder">Roger Lueder</a>, <a href="/author/Drucker">Steven Drucker</a>, and <a href="/author/Wong">Curtis Wong</a> </span><em>Proceedings of the tenth ACM international conference on Multimedia MM-02, </em><em>page 235--238. </em><em>New York, </em><em>ACM Press, </em>(<em>December 2002</em>)Sun Jan 28 17:19:21 CET 2007New YorkProceedings of the tenth {ACM} international conference on Multimedia ({MM}-02)December ~1--6235--238{MyLifeBits}: fulfilling the Memex vision2002Semantic_Web ai eswc2007 memex ontologies http://www.bibsonomy.org/bibtex/2732e70b2300041bf0240733d15092712/lysander07lysander072006-12-16T12:03:53+01:00www statistics eswc2007 <span class="authorEditorList"><a href="/author/Lyman">Peter Lyman</a>, and <a href="/author/Varian">Hal R. Varian</a> </span><em>SIMS, University of California at Berkeley, CA, US. published online: \small \tt http://www.sims.berkeley.edu/how-much-info-2003, </em>(<em>2003</em>)Sat Dec 16 12:03:53 CET 2006SIMS, University of California at Berkeley, CA, US. published online: {\small \tt http://www.sims.berkeley.edu/how-much-info-2003}{How Much Information?}2003www statistics eswc2007 http://www.bibsonomy.org/bibtex/2f93a8f9e4ecae282d71b8f38f05b7dd1/lysander07lysander072006-12-16T12:01:38+01:00atms ai eswc2007 <span class="authorEditorList"><a href="/author/de Kleer">Johan de Kleer</a> </span><em>Artificial Intelligence</em> (<em>1986</em>)Sat Dec 16 12:01:38 CET 2006Artificial Intelligence127--2241. An Assumption-based {\sc Tms}, 2. Extending the {\sc Atms}, 3. Problem solving with the {\sc Atms}281986atms ai eswc2007 http://www.bibsonomy.org/bibtex/2ee0fe3f5010d3111a38c70978256726d/lysander07lysander072006-12-16T12:01:08+01:00atms ai eswc2007 <span class="authorEditorList"><a href="/author/Forbus">K. D. Forbus</a>, and <a href="/author/de Kleer">Johan de Kleer</a> </span><em>MIT Press, </em><em>Cambridge, MA, </em>(<em>1993</em>)Sat Dec 16 12:01:08 CET 2006Cambridge, MABuilding Problem Solvers1993atms ai eswc2007 http://www.bibsonomy.org/bibtex/23fec5670e1e36a561aeac4ab6ea89d52/lysander07lysander072006-12-16T12:00:34+01:00atms ai eswc2007 <span class="authorEditorList"><a href="/author/de Kleer">Johan de Kleer</a> </span><em>Artificial Intelligence</em> <em>28(2):127--162</em> (<em>1986</em>)Sat Dec 16 12:00:34 CET 2006Essex, UKArtificial Intelligence2127--162An assumption-based {TMS}281986atms ai eswc2007 http://www.bibsonomy.org/bibtex/23ecfca17a219141bc9847be800adf07a/lysander07lysander072006-12-16T11:59:10+01:00atms ai eswc2007 <span class="authorEditorList"><a href="/author/Beckstein">Clemens Beckstein</a> </span> (<em>1996</em>)Sat Dec 16 11:59:10 CET 2006LeipzigTeubner-Texte zur InformatikBegründungsverwaltung: Grundlagen, Systeme und Algorithmen1996atms ai eswc2007 http://www.bibsonomy.org/bibtex/211ab70bdc99cb92976f52822dbeb6bfe/lysander07lysander072006-12-16T11:58:51+01:00datamining informationRetrieval eswc2007 <span class="authorEditorList"><a href="/author/Ribeiro-Neto">Berthier Ribeiro-Neto</a>, and <a href="/author/Baeza-Yates">Ricardo Baeza-Yates</a> </span><em>ACM Press / Addison-Wesley, </em>(<em>1999</em>)Sat Dec 16 11:58:51 CET 2006Modern Information RetrievalModern Information Retrieval1999datamining informationRetrieval eswc2007 Modern Information Retrieval