http://www.bibsonomy.org/burst/user/jaeschke/webBibSonomy BuRST Feed for /user/jaeschke/web2008-09-05T07:20:41+02:00IEEEXplore# Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systemshttp://www.bibsonomy.org/bibtex/2b19748937563c477de5f1b845111d0af/jaeschkejaeschke2008-02-13T10:49:41+01:00search folksonomy web <span style="color:#555555;">Mohammad <a href="http://www.bibsonomy.org/author/Nauman">Nauman</a> und Shahbaz <a href="http://www.bibsonomy.org/author/Khan">Khan</a> </span><em>Web Intelligence, IEEE/WIC/ACM International Conference on, </em><em>Seite423-426. </em>(<em>2007</em>)Wed Feb 13 10:49:41 CET 2008Web Intelligence, IEEE/WIC/ACM International Conference on423-426Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems2007search folksonomy web A large part of the modern web is characterized by usergenerated content categorized using collaborative tagging or folksonomy. It becomes difficult to search for relevant content because of ambiguity in lexical representation of concepts and variances in preferences of users. With more and more services relying on tags for content categorization, it is important that search techniques evolve to better suit the scenario. A promising approach towards solving these problems is to use machine common sense in conjunction with folksonomy. A past attempt to use this approach has shown positive results in finding relevant content but it does not address the issue of noise in search results. In this paper, we use the personalized web search technique of traditional web search systems to address the issue of irrelevant search results in common sense and folksonomy based search systems. In personalized web search, results are reflective of user's preferences, which are decided by search history and categories of interest. We propose modifications to personalized web search technique. Using this modified approach, we extend the basic common sense and folksonomy based search systems to address the issue of noise in search results.CiteULike: Towards automatic extraction of event and place semantics from flickr tagshttp://www.bibsonomy.org/bibtex/2412d1f5dcc47faffc2442166adf4c4e6/jaeschkejaeschke2007-09-18T13:19:08+02:00emerging extraction semantic place web flickr event <span style="color:#555555;">Tye <a href="http://www.bibsonomy.org/author/Rattenbury">Rattenbury</a> und Nathaniel <a href="http://www.bibsonomy.org/author/Good">Good</a> und Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> </span><em>SIRIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, </em><em>Seite103--110. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2007</em>)Tue Sep 18 13:19:08 CEST 2007New York, NY, USASIRIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval103--110Towards automatic extraction of event and place semantics from flickr tags2007emerging extraction semantic place web flickr event http://www.bibsonomy.org/bibtex/235842f5deb96573cc24e818697d4bbc8/jaeschkejaeschke2007-07-16T12:51:23+02:00semantic 2007 folksonomy eswc web <span style="color:#555555;">Lucia <a href="http://www.bibsonomy.org/author/Specia">Specia</a> und Enrico <a href="http://www.bibsonomy.org/author/Motta">Motta</a> </span><em>Proceedings of the European Semantic Web Conference (ESWC2007), </em><em>Volume4519vonLNCS, </em><em>Seite624-639. </em><em>Berlin Heidelberg, Germany, </em><em>Springer-Verlag, </em><em>July2007. </em>Mon Jul 16 12:51:23 CEST 2007Berlin Heidelberg, GermanyProceedings of the European Semantic Web Conference (ESWC2007)July624-639LNCSIntegrating Folksonomies with the Semantic Web45192007semantic 2007 folksonomy eswc web While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individual can yield a collective classification schema. We present an approach for making explicit the semantics behind the tag space in social tagging systems, so that this collaborative organization can emerge in the form of partial ontologies. This is achieved by using a combination of shallow pre-processing strategies and statistical techniques together with knowledge provided by ontologies available on the semantic web. Preliminary results on the Del.icio.us and Flickr tag sets showed that the approach is very promising: it generates clusters with highly related tags corresponding to concepts in ontologies, and meaningful relationships among subsets of these tags can be identified.http://www.bibsonomy.org/bibtex/210d5e1ebefe89accc3215e03442122dc/jaeschkejaeschke2007-03-15T10:08:52+01:00web identity semantic reference <span style="color:#555555;">Harry <a href="http://www.bibsonomy.org/author/Halpin">Halpin</a> </span><em>Proc. WWW 2006 Workshop on Identity, Reference, and the Web, </em><em>may2006. </em>Thu Mar 15 10:08:52 CET 2007Proc. WWW 2006 Workshop on Identity, Reference, and the WebmayIdentity, Reference, and Meaning on the Web2006web identity semantic reference 23http://www.bibsonomy.org/bibtex/20ef00fe39718eae61dca4d251b14578d/jaeschkejaeschke2007-02-01T14:04:37+01:00web trias_example semantic iccs_example usage mining <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Data Mining Next Generation Challenges and Future Directions, </em><em>AAAI Press, </em><em>Boston, </em>(<em>2004</em>)Thu Feb 01 14:04:37 CET 2007BostonData Mining Next Generation Challenges and Future Directions461-481Usage Mining for and on the Semantic Web2004web trias_example semantic iccs_example usage mining Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of data Web mining operates on, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web resources and navigation behavior are increasingly being used. This fits exactly with the aims of the Semantic Web: the Semantic Web enriches the WWW by machine-processable information which supports the user in his tasks. In this paper, we discuss the interplay of the Semantic Web with Web Mining, with a specific focus on usage mining.Preliminary version of http://www.bibsonomy.org/bibtex/0a3c7992f2f6d8ecf7adc04aa6c2d5a22/stummehttp://www.bibsonomy.org/bibtex/24a68d1443065dcd7980989e97cb0af69/jaeschkejaeschke2007-02-01T14:04:37+01:00web semantic iccs_example usage mining trias_example <span style="color:#555555;">G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> </span><em>Proc. NSF Workshop on Next Generation Data Mining, </em><em>Seite77-86. </em><em>Baltimore, </em><em>November2002. </em>Thu Feb 01 14:04:37 CET 2007BaltimoreProc. NSF Workshop on Next Generation Data MiningNovember77-86Usage Mining for and on the Semantic Web2002web semantic iccs_example usage mining trias_example http://www.bibsonomy.org/bibtex/2fc1c88be5f8c2640ca6e9a40b5fa1c7b/jaeschkejaeschke2007-02-01T14:04:37+01:00web iccs_example trias_example semantic mining <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web -- ISWC 2002, </em><em>Seite264-278. </em><em>Heidelberg, </em><em>Springer, </em>(<em>2002</em>)Thu Feb 01 14:04:37 CET 2007HeidelbergThe Semantic Web -- ISWC 2002264-278LNCSTowards Semantic Web Mining2002web iccs_example trias_example semantic mining http://www.bibsonomy.org/bibtex/276b6d7afdb3d4f4c19cb02a60c41bb0c/jaeschkejaeschke2007-02-01T14:04:37+01:00web semantic wiki trias_example iccs_example <span style="color:#555555;">Michel <a href="http://www.bibsonomy.org/author/Buffa">Buffa</a> und Ga&#235;l <a href="http://www.bibsonomy.org/author/Crova">Crova</a> und Fabien <a href="http://www.bibsonomy.org/author/Gandon">Gandon</a> und Claire <a href="http://www.bibsonomy.org/author/Lecompte">Lecompte</a> und Jeremy <a href="http://www.bibsonomy.org/author/Passeron">Passeron</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em><em>June2006. </em>Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisSweetWiki : Semantic WEb Enabled Technologies in Wiki2006web semantic wiki trias_example iccs_example Wikis are social web sites enabling a potentially large number of participants to modify any page or create a new page using their web browser. As they grow, wikis suffer from a number of problems (anarchical structure, large number of pages, aging navigation paths, etc.). We believe that semantic wikis can improve navigation and search. In SweetWiki we investigate the use of semantic web technologies to support and ease the lifecycle of the wiki. The very model of wikis was declaratively described: an OWL schema captures concepts such as WikiWord, wiki page, forward and backward link, author, etc. This ontology is then exploited by an embedded semantic search engine (Corese). In addition, SweetWiki integrates a standard WYSIWYG editor (Kupu) that we extended to support semantic annotation following the "social tagging" approach made popular by web sites such as flickr.com. When editing a page, the user can freely enter some keywords in an AJAX-powered textfield and an auto-completion mechanism proposes existing keywords by issuing SPARQL queries to identify existing concepts with compatible labels. Thus tagging is both easy (keyword-like) and motivating (real time display of the number of related pages) and concepts are collected as in folksonomies. To maintain and reengineer the folksonomy, we reused a web-based editor available in the underlying semantic web server to edit semantic web ontologies and annotations. Unlike in other wikis, pages are stored directly in XHTML ready to be served and semantic annotations are embedded in the pages themselves using RDF/A. If someone sends or copy a page, the annotations follow it, and if an application crawls the wiki site it can extract the metadata and reuse them.http://www.bibsonomy.org/bibtex/2a5f1a8b42409b96271bc5c671deceea9/jaeschkejaeschke2007-02-01T14:04:37+01:00semantic trias_example web mining iccs_example <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Hartmann">Hartmann</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. Arbeitskreistreffen Knowledge Discovery, </em><em>Oldenburg, </em><em>September2002. </em>Thu Feb 01 14:04:37 CET 2007OldenburgProc. Arbeitskreistreffen Knowledge DiscoverySeptemberSemantic Web Mining for Building Information Portals (Position Paper)2002semantic trias_example web mining iccs_example http://www.bibsonomy.org/bibtex/2f8826ba2790eeb857dd4becb31a08225/jaeschkejaeschke2007-02-01T14:04:37+01:00web mining trias_example semantic iccs_example <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space, </em><em>Seite1--16. </em><em>Technical University of Ostrava, </em>(<em>2005</em>)Thu Feb 01 14:04:37 CET 2007Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space1--16Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space2005web mining trias_example semantic iccs_example Proc. of the Semantic Web Mining Workshop of the 12th Europ. Conf. on Machine Learning (ECML'01) / 5th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'01)http://www.bibsonomy.org/bibtex/2f6d06d221aab066b6cae38b595d35ffc/jaeschkejaeschke2007-02-01T14:04:37+01:00semantic proceeding web mining iccs_example trias_example workshop <span style="color:#555555;">G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> (eds.). </span><em>Freiburg, </em><em>September 3rd,2001. </em>Thu Feb 01 14:04:37 CET 2007FreiburgSeptember 3rd,Semantic Web Mining2001semantic proceeding web mining iccs_example trias_example workshop http://www.bibsonomy.org/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/jaeschkejaeschke2007-02-01T14:04:37+01:00learning semantic web trias_example iccs_example management <span style="color:#555555;">Julien <a href="http://www.bibsonomy.org/author/Tane">Tane</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. 13th International World Wide Web Conference (WWW 2004), </em><em>Seite1-10. </em>(<em>2004</em>)Thu Feb 01 14:04:37 CET 2007Proc. 13th International World Wide Web Conference (WWW 2004)1-10Semantic resource management for the web: an e-learning application2004learning semantic web trias_example iccs_example management http://www.bibsonomy.org/bibtex/2f306e43da22adede0286917d5d83eb3b/jaeschkejaeschke2007-02-01T14:04:37+01:00europe trias_example 2005 iccs_example proceeding web mining <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Dunja <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> und Giovanni <a href="http://www.bibsonomy.org/author/Semerano">Semerano</a> und Myra <a href="http://www.bibsonomy.org/author/Spiliopoulou">Spiliopoulou</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und Maarten van <a href="http://www.bibsonomy.org/author/Someren">Someren</a> (eds.). </span>(<em>2005</em>)Thu Feb 01 14:04:37 CET 2007Proc. of the European Web Mining Forum 20052005europe trias_example 2005 iccs_example proceeding web mining http://www.bibsonomy.org/bibtex/23f758ae7bab7262f48818b03fdb4fa59/jaeschkejaeschke2007-02-01T14:04:37+01:00web iccs_example trias_example wiki semantic learning <span style="color:#555555;">Sebastian <a href="http://www.bibsonomy.org/author/Schaffert">Schaffert</a> und Diana <a href="http://www.bibsonomy.org/author/Bischof">Bischof</a> und Tobias <a href="http://www.bibsonomy.org/author/Bürger">B&#252;rger</a> und Andreas <a href="http://www.bibsonomy.org/author/Gruber">Gruber</a> und Wolf <a href="http://www.bibsonomy.org/author/Hilzensauer">Hilzensauer</a> und Sandra <a href="http://www.bibsonomy.org/author/Schaffert">Schaffert</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em><em>June2006. </em>Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisLearning with Semantic Wikis2006web iccs_example trias_example wiki semantic learning The knowledge society requires life-long learning and flexible learning environments that allow learners to learn whenever they have time, whereever they are, and according to their own needs and background knowledge. In this article, we investigate how Semantic Wikis – a combination of Wiki and Semantic Web technology – can support learners in such flexible learning environments. We first summarise common features of Wikis and Semantic Wikis and then describe different aspects of Semantic Wikis for learning. We also introduce our Semantic Wiki system called IkeWiki and show why it is particularly promising as a learning tool.http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/jaeschkejaeschke2007-02-01T14:04:37+01:00semantic myown iccs_example l3s knowledge 2006 web management trias_example collaborative <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Seite273-290. </em><em>Springer, </em>(<em>2006</em>)Thu Feb 01 14:04:37 CET 2007Semantic Web - Wege zur vernetzten Wissensgesellschaft273-290Kollaboratives Wissensmanagement2006semantic myown iccs_example l3s knowledge 2006 web management trias_example collaborative Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.http://www.bibsonomy.org/bibtex/2443c11410edcad7d143bdf62e953701b/jaeschkejaeschke2007-02-01T14:04:37+01:00trias_example iccs_example web wiki semantic intranet <span style="color:#555555;">Malte <a href="http://www.bibsonomy.org/author/Kiesel">Kiesel</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>DFKI, </em><em>ESWC2006, </em><em>June2006. </em>Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisKaukolu: Hub of the Semantic Corporate Intranet2006trias_example iccs_example web wiki semantic intranet Due to their low entry barrier, easy deployment, and simple yet powerful features, wikis have gained popularity for agile knowledge management in communities of almost all sizes. Semantic wikis strive to give entered information more structure in order to allow automatic processing of the wiki’s contents. This facilitates enhanced navigation and search in the wiki itself as well as simple reuse of information in external applications or for generating different views on the same information. This makes semantic wikis especially interesting for corporate intranet deployment, implementing the Semantic Intranet. In this paper, we will have a look at Kaukolu, an open source semantic wiki prototype, being deployed in a corporate intranet. External applications use information authored in Kaukolu, effectively forming a cluster of applications interacting and sharing data.http://www.bibsonomy.org/bibtex/21c7a959ea95158348d99c9922c53fe66/jaeschkejaeschke2007-02-01T14:04:37+01:00trias_example semantic kaon web iccs_example <span style="color:#555555;">E. <a href="http://www.bibsonomy.org/author/Bozsak">Bozsak</a> und M. <a href="http://www.bibsonomy.org/author/Ehrig">Ehrig</a> und S. <a href="http://www.bibsonomy.org/author/Handschuh">Handschuh</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und A. <a href="http://www.bibsonomy.org/author/Maedche">Maedche</a> und B. <a href="http://www.bibsonomy.org/author/Motik">Motik</a> und D. <a href="http://www.bibsonomy.org/author/Oberle">Oberle</a> und Ch. <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und S. <a href="http://www.bibsonomy.org/author/Staab">Staab</a> und L. <a href="http://www.bibsonomy.org/author/Stojanovic">Stojanovic</a> und N. <a href="http://www.bibsonomy.org/author/Stojanovic">Stojanovic</a> und R. <a href="http://www.bibsonomy.org/author/Studer">Studer</a> und G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und Y. <a href="http://www.bibsonomy.org/author/Sure">Sure</a> und J. <a href="http://www.bibsonomy.org/author/Tane">Tane</a> und R. <a href="http://www.bibsonomy.org/author/Volz">Volz</a> und V. <a href="http://www.bibsonomy.org/author/Zacharias">Zacharias</a> </span><em>Proc. of the 3rd Intl. Conf. on E-Commerce and Web Technologies (EC-Web 2002), </em><em>Seite304-313. </em>(<em>2002</em>)Thu Feb 01 14:04:37 CET 2007Proc. of the 3rd Intl. Conf. on E-Commerce and Web Technologies (EC-Web 2002)304-313{KAON} -- Towards a Large Scale Semantic Web2002trias_example semantic kaon web iccs_example All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WShttp://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/jaeschkejaeschke2007-02-01T14:04:37+01:00trias_example semantic wiki wikipedia web ontology iccs_example <span style="color:#555555;">Martin <a href="http://www.bibsonomy.org/author/Hepp">Hepp</a> und Daniel <a href="http://www.bibsonomy.org/author/Bachlechner">Bachlechner</a> und Katharina <a href="http://www.bibsonomy.org/author/Siorpaes">Siorpaes</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em><em>June2006. </em>Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisHarvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements2006trias_example semantic wiki wikipedia web ontology iccs_example One major obstacle towards adding machine-readable annotation to existing Web content is the lack of domain ontologies. While FOAF and Dublin Core are popular means for expressing relationships between Web resources and between Web resources and literal values, we widely lack unique identifiers for common concepts and instances. Also, most available ontologies have a very weak community grounding in the sense that they are designed by single individuals or small groups of individuals, while the majority of potential users is not involved in the process of proposing new ontology elements or achieving consensus. This is in sharp contrast to natural language where the evolution of the vocabulary is under the control of the user community. At the same time, we can observe that, within Wiki communities, especially Wikipedia, a large number of users is able to create comprehensive domain representations in the sense of unique, machine-feasible, identifiers and concept definitions which are sufficient for humans to grasp the intension of the concepts. The English version of Wikipedia contains now more than one million entries and thus the same amount of URIs plus a human-readable description. While this collection is on the lower end of ontology expressiveness, it is likely the largest living ontology that is available today. In this paper, we (1) show that standard Wiki technology can be easily used as an ontology development environment for named classes, reducing entry barriers for the participation of users in the creation and maintenance of lightweight ontologies, (2) prove that the URIs of Wikipedia entries are surprisingly reliable identifiers for ontology concepts, and (3) demonstrate the applicability of our approach in a use case.All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WShttp://www.bibsonomy.org/bibtex/2013848e4524eba386dfef892be562ea7/jaeschkejaeschke2007-02-01T14:04:37+01:00web semantic trias_example wiki iccs_example <span style="color:#555555;">Karsten <a href="http://www.bibsonomy.org/author/Dello">Dello</a> und Elena Paslaru Bontas <a href="http://www.bibsonomy.org/author/Simperl">Simperl</a> und Robert <a href="http://www.bibsonomy.org/author/Tolksdorf">Tolksdorf</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em><em>June2006. </em>Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisCreating and using Semantic Web information with Makna2006web semantic trias_example wiki iccs_example http://www.bibsonomy.org/bibtex/2a0e7b52680f1876cdd9cd21f7cb2f95c/jaeschkejaeschke2007-02-01T14:04:37+01:00ontology iccs_example web trias_example semantic mining <span style="color:#555555;">Rudi <a href="http://www.bibsonomy.org/author/Studer">Studer</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und Siegfried <a href="http://www.bibsonomy.org/author/Handschuh">Handschuh</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und B. <a href="http://www.bibsonomy.org/author/Motik">Motik</a> </span><em>New Trends in Knowledge Processing -- Data Mining, Semantic Web and Computational, </em><em>Seite31-34. </em><em>Osaka, Japan, </em><em>March 10-11,2003. </em>Thu Feb 01 14:04:37 CET 2007Osaka, JapanNew Trends in Knowledge Processing -- Data Mining, Semantic Web and ComputationalMarch 10-11,31-34Building and Using the Semantic Web2003ontology iccs_example web trias_example semantic mining