@inproceedings{Nauman:2007, title = {Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems}, author = {Mohammad Nauman and Shahbaz Khan}, booktitle = {Web Intelligence, IEEE/WIC/ACM International Conference on}, pages = {423-426}, year = 2007, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4427126}, isbn = {978-0-7695-3026-0}, doi = {10.1109/WI.2007.108}, description = {IEEEXplore# Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2b19748937563c477de5f1b845111d0af/jaeschke}, keywords = {web folksonomy search} } @inproceedings{citeulike:1510686, title = {Towards automatic extraction of event and place semantics from flickr tags}, address = {New York, NY, USA}, author = {Tye Rattenbury and Nathaniel Good and Mor Naaman}, booktitle = {SIRIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval}, pages = {103--110}, publisher = {ACM Press}, year = 2007, url = {http://dx.doi.org/10.1145/1277741.1277762}, id = {1510686}, priority = {4}, isbn = {9781595935977}, doi = {10.1145/1277741.1277762}, description = {CiteULike: Towards automatic extraction of event and place semantics from flickr tags}, biburl = {http://www.bibsonomy.org/bibtex/2412d1f5dcc47faffc2442166adf4c4e6/jaeschke}, keywords = {emerging place semantic flickr extraction web event} } @inproceedings{ieKey, title = {Integrating Folksonomies with the Semantic Web}, address = {Berlin Heidelberg, Germany}, author = {Lucia Specia and Enrico Motta}, booktitle = {Proceedings of the European Semantic Web Conference (ESWC2007)}, editor = {Enrico Franconi and Michael Kifer and Wolfgang May}, month = {July}, pages = {624-639}, publisher = {Springer-Verlag}, series = {LNCS}, volume = 4519, year = 2007, url = {http://www.eswc2007.org/pdf/eswc07-specia.pdf}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/235842f5deb96573cc24e818697d4bbc8/jaeschke}, keywords = {eswc folksonomy web 2007 semantic} } @inproceedings{halpin2006identity, title = {Identity, Reference, and Meaning on the Web}, author = {Harry Halpin}, booktitle = {Proc. WWW 2006 Workshop on Identity, Reference, and the Web}, month = {may}, year = 2006, day = 23, biburl = {http://www.bibsonomy.org/bibtex/210d5e1ebefe89accc3215e03442122dc/jaeschke}, keywords = {reference identity web semantic} } @incollection{berendt04usage, title = {Usage Mining for and on the Semantic Web}, address = {Boston}, author = {Bettina Berendt and Andreas Hotho and Gerd Stumme}, booktitle = {Data Mining Next Generation Challenges and Future Directions}, editor = {Hillol Kargupta and Anupam Joshi and Krishnamoorthy Sivakumar and Yelena Yesha}, pages = {461-481}, publisher = {AAAI Press}, year = 2004, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}, isbn = {0-262-61203-8}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/20ef00fe39718eae61dca4d251b14578d/jaeschke}, keywords = {usage semantic mining web iccs_example trias_example} } @inproceedings{stumme02usage, title = {Usage Mining for and on the Semantic Web}, address = {Baltimore}, author = {G. Stumme and B. Berendt and A. Hotho}, booktitle = {Proc. NSF Workshop on Next Generation Data Mining}, month = {November}, pages = {77-86}, year = 2002, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/NSF-NGDM02.pdf}, comment = {alpha}, description = {Preliminary version of http://www.bibsonomy.org/bibtex/0a3c7992f2f6d8ecf7adc04aa6c2d5a22/stumme}, biburl = {http://www.bibsonomy.org/bibtex/24a68d1443065dcd7980989e97cb0af69/jaeschke}, keywords = {trias_example iccs_example semantic web mining usage} } @inproceedings{berendt02towards, title = {Towards Semantic Web Mining}, address = {Heidelberg}, author = {B. Berendt and A. Hotho and G. Stumme}, booktitle = {The Semantic Web -- ISWC 2002}, editor = {I. Horrocks and J. Hendler}, pages = {264-278}, publisher = {Springer}, series = {LNCS}, year = 2002, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/ISWC02.pdf}, comment = {alpha}, biburl = {http://www.bibsonomy.org/bibtex/2fc1c88be5f8c2640ca6e9a40b5fa1c7b/jaeschke}, keywords = {trias_example semantic iccs_example web mining} } @inproceedings{Buffa:2006:SweetWiki, title = {SweetWiki : Semantic WEb Enabled Technologies in Wiki}, author = {Michel Buffa and Gaël Crova and Fabien Gandon and Claire Lecompte and Jeremy Passeron}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {Max V\"{o}lkel and Sebastian Schaffert}, month = {June}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, year = 2006, url = {http://semwiki.org/semwiki2006}, timestamp = {2006.06.14}, owner = {voelkel}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/276b6d7afdb3d4f4c19cb02a60c41bb0c/jaeschke}, keywords = {semantic trias_example wiki iccs_example web} } @inproceedings{hartmann02semanticweb, title = {Semantic Web Mining for Building Information Portals (Position Paper)}, address = {Oldenburg}, author = {J. Hartmann and A. Hotho and G. Stumme}, booktitle = {Proc. Arbeitskreistreffen Knowledge Discovery}, month = {September}, year = 2002, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/hartmann2002semanticweb.pdf}, comment = {alpha}, biburl = {http://www.bibsonomy.org/bibtex/2a5f1a8b42409b96271bc5c671deceea9/jaeschke}, keywords = {mining trias_example web semantic iccs_example} } @inproceedings{berendt05semantic, title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space}, author = {Bettina Berendt and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space}, editor = {Vojtech Svatek and Vaclav Snasel}, pages = {1--16}, publisher = {Technical University of Ostrava}, year = 2005, isbn = {80-248-0864-1}, vgwort = {29}, biburl = {http://www.bibsonomy.org/bibtex/2f8826ba2790eeb857dd4becb31a08225/jaeschke}, keywords = {trias_example iccs_example web mining semantic} } @proceedings{stumme01semantic, title = {Semantic Web Mining}, address = {Freiburg}, editor = {G. Stumme and A. Hotho and B. Berendt}, month = {September 3rd,}, year = 2001, url = {http://semwebmine2001.aifb.uni-karlsruhe.de/online.html}, comment = {alpha}, description = {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)}, biburl = {http://www.bibsonomy.org/bibtex/2f6d06d221aab066b6cae38b595d35ffc/jaeschke}, keywords = {web trias_example proceeding semantic iccs_example workshop mining} } @inproceedings{tane04semantic, title = {Semantic resource management for the web: an e-learning application}, author = {Julien Tane and Christoph Schmitz and Gerd Stumme}, booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)}, pages = {1-10}, year = 2004, url = {http://www.www2004.org/proceedings/docs/2p1.pdf}, ee = {http://doi.acm.org/10.1145/1013369}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {http://www.bibsonomy.org/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/jaeschke}, keywords = {trias_example management web learning iccs_example semantic} } @proceedings{berendt05european, title = {Proc. of the European Web Mining Forum 2005}, editor = {Bettina Berendt and Andreas Hotho and Dunja Mladenic and Giovanni Semerano and Myra Spiliopoulou and Gerd Stumme and Maarten van Someren}, year = 2005, url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}, biburl = {http://www.bibsonomy.org/bibtex/2f306e43da22adede0286917d5d83eb3b/jaeschke}, keywords = {web proceeding trias_example iccs_example europe 2005 mining} } @inproceedings{Schaffert:2006:LwSW, title = {Learning with Semantic Wikis}, author = {Sebastian Schaffert and Diana Bischof and Tobias Bürger and Andreas Gruber and Wolf Hilzensauer and Sandra Schaffert}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {Max V\"{o}lkel and Sebastian Schaffert}, month = {June}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, year = 2006, url = {http://semwiki.org/semwiki2006}, timestamp = {2006.06.14}, owner = {voelkel}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/23f758ae7bab7262f48818b03fdb4fa59/jaeschke}, keywords = {iccs_example trias_example learning wiki web semantic} } @inbook{schmitz2006kollaboratives, title = {Kollaboratives Wissensmanagement}, author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme}, booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft}, editor = {Tassilo Pellegrini and Andreas Blumauer}, pages = {273-290}, publisher = {Springer}, year = 2006, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf}, isbn = {3-540-29324-8}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/jaeschke}, keywords = {management web collaborative l3s semantic myown knowledge 2006 trias_example iccs_example} } @inproceedings{Kiesel:2006:Kaukolu, title = {Kaukolu: Hub of the Semantic Corporate Intranet}, author = {Malte Kiesel}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {Max V\"{o}lkel and Sebastian Schaffert}, month = {June}, organization = {DFKI}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, year = 2006, url = {http://semwiki.org/semwiki2006}, timestamp = {2006.06.14}, pdf = {http://www.dfki.uni-kl.de/~kiesel/2006-06-12-Kaukolu-SemWikiESWC2006.pdf}, owner = {voelkel}, comment = {Best Short Paper at the Workshop}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2443c11410edcad7d143bdf62e953701b/jaeschke}, keywords = {trias_example wiki intranet web semantic iccs_example} } @inproceedings{bozsak02kaon, title = {{KAON} -- Towards a Large Scale Semantic Web}, author = {E. Bozsak and M. Ehrig and S. Handschuh and A. Hotho and A. Maedche and B. Motik and D. Oberle and Ch. Schmitz and S. Staab and L. Stojanovic and N. Stojanovic and R. Studer and G. Stumme and Y. Sure and J. Tane and R. Volz and V. Zacharias}, booktitle = {Proc. of the 3rd Intl. Conf. on E-Commerce and Web Technologies (EC-Web 2002)}, editor = {K. Bauknecht and A. Min Tjoa and G. Quirchmayr}, pages = {304-313}, year = 2002, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/EC-Web02.pdf}, comment = {alpha}, biburl = {http://www.bibsonomy.org/bibtex/21c7a959ea95158348d99c9922c53fe66/jaeschke}, keywords = {iccs_example kaon trias_example semantic web} } @inproceedings{Hepp:2006:HWC, title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements}, author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {Max V\"{o}lkel and Sebastian Schaffert}, month = {June}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, year = 2006, url = {http://semwiki.org/semwiki2006}, timestamp = {2006.06.14}, owner = {voelkel}, description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/jaeschke}, keywords = {semantic wiki trias_example wikipedia iccs_example ontology web} } @inproceedings{Dello:2006:Makna, title = {Creating and using Semantic Web information with Makna}, author = {Karsten Dello and Elena Paslaru Bontas Simperl and Robert Tolksdorf}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {Max V\"{o}lkel and Sebastian Schaffert}, month = {June}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, year = 2006, url = {http://semwiki.org/semwiki2006}, timestamp = {2006.06.14}, owner = {voelkel}, description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS}, biburl = {http://www.bibsonomy.org/bibtex/2013848e4524eba386dfef892be562ea7/jaeschke}, keywords = {iccs_example web wiki semantic trias_example} } @inproceedings{studer03building, title = {Building and Using the Semantic Web}, address = {Osaka, Japan}, author = {Rudi Studer and Gerd Stumme and Siegfried Handschuh and Andreas Hotho and B. Motik}, booktitle = {New Trends in Knowledge Processing -- Data Mining, Semantic Web and Computational}, month = {March 10-11,}, pages = {31-34}, year = 2003, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/Sanken03.pdf}, comment = {alpha}, biburl = {http://www.bibsonomy.org/bibtex/2a0e7b52680f1876cdd9cd21f7cb2f95c/jaeschke}, keywords = {ontology web trias_example semantic iccs_example mining} }