@incollection{hoser2006semantic, abstract = { A key argument for modeling knowledge in ontologies is the easy reuse and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA).While social network structures currently receive high attention in the Semantic Web community, there are only very few SNA applications, and virtually none for analyzing the structure of ontologies. We illustrate the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size. }, address = {Berlin/Heidelberg}, author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications}, doi = {10.1007/11762256_38}, editor = {Sure, York and Domingue, John}, interhash = {344ec3b4ee8af1a2c6b86efc14917fa9}, intrahash = {2b720233e4493d4e0dee95be86dd07e8}, isbn = {978-3-540-34544-2}, note = {10.1007/11762256_38}, pages = {514--529}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Semantic Network Analysis of Ontologies}, url = {http://dx.doi.org/10.1007/11762256_38}, volume = 4011, year = 2006 } @inproceedings{hjss06bibsonomy, address = {Aalborg, Denmark}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures}, editor = {de Moor, Aldo and Polovina, Simon and Delugach, Harry}, interhash = {d28c9f535d0f24eadb9d342168836199}, intrahash = {2cbd8e3236adea7c54779605a5aa4fd6}, isbn = {87-7307-769-0}, month = jul, publisher = {Aalborg University Press}, title = {{BibSonomy}: A Social Bookmark and Publication Sharing System}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/hotho06bibsonomy.pdf}, vgwort = {27}, year = 2006 } @inproceedings{hotho2006emergent, abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies, briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references, and discuss first steps towards emergent semantics.}, address = {Bonn}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Informatik 2006 - Informatik für Menschen}, editor = {Hochberger, Christian and Liskowsky, Rüdiger}, interhash = {53e5677ab0bf1a8f5a635cc32c9082ba}, intrahash = {7a05c4bf8b724bc02841bd58c7eea90d}, isbn = {978-3-88579-188-1}, issn = {1617-5468}, month = oct, pages = {305--312}, publisher = {Gesellschaft für Informatik}, series = {Lecture Notes in Informatics}, title = {Emergent Semantics in BibSonomy}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf}, vgwort = {14}, volume = 94, year = 2006 } @inproceedings{schmitz2006content, abstract = {Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, it is necessary to obtain provide brief semantic descriptions of peers, so that routing algorithms or matchmaking processes can make decisions about which communities peers should belong to, or to which peers a given query should be forwarded. This paper provides a graph clustering technique on knowledge bases for that purpose. Using this clustering, we can show that our strategy requires up to 58% fewer queries than the baselines to yield full recall in a bibliographic P2PKM scenario.}, address = {Berlin/Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications}, doi = {10.1007/11762256_39}, editor = {Sure, York and Domingue, John}, interhash = {d2ddbb8f90cd271dc18670e4c940ccfb}, intrahash = {1788c88e04112a4491f19dfffb8dc39e}, isbn = {978-3-540-34544-2}, issn = {0302-9743}, month = jun, pages = {530--544}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Content Aggregation on Knowledge Bases using Graph Clustering}, url = {http://www.springerlink.com/content/u121v1827v286398/}, volume = 4011, year = 2006 } @article{lhfh05social, author = {Lund, Ben and Hammond, Tony and Flack, Martin and Hannay, Timo}, interhash = {46c0a98ab6ccb96ff4722f35781807de}, intrahash = {13958ef5da2d2133b9b84e9a3cb40da1}, journal = {D-Lib Magazine}, month = {April}, number = 4, organization = {{N}ature {P}ublishing {G}roup}, title = {{S}ocial {B}ookmarking {T}ools ({II}): {A} {C}ase {S}tudy - {C}onnotea}, url = {http://www.dlib.org/dlib/april05/lund/04lund.html}, volume = 11, year = 2005 } @article{hammond2005social, abstract = {This paper reviews some current initiatives, as of early 2005, in providing public link management applications on the Web � utilities that are often referred to under the general moniker of 'social bookmarking tools'. There are a couple of things going on here: 1 server-side software aimed specifically at managing links with, crucially, a strong, social networking flavour, and 2 an unabashedly open and unstructured approach to tagging, or user classification, of those links. A number of such utilities are presented here, together with an emergent new class of tools that caters more to the academic communities and that stores not only user-supplied tags, but also structured citation metadata terms wherever it is possible to glean this information from service providers. This provision of rich, structured metadata means that the user is provided with an accurate third-party identification of a document, which could be used to retrieve that document, but is also free to search on user-supplied terms so that documents of interest or rather, references to documents can be made discoverable and aggregated with other similar descriptions either recorded by the user or by other users.}, author = {Hammond, Tony and Hannay, Timo and Lund, Ben and Scott, Joanna}, interhash = {c7457d9dc07545a061de119d96ca4e47}, intrahash = {89c6c43ad692ccfbe4c09d31926ab8a7}, issn = {1082-9873}, journal = {D-Lib Magazine}, month = apr, number = 4, organization = {Nature Publishing Group}, title = {Social Bookmarking Tools (I): A General Review}, url = {http://www.dlib.org/dlib/april05/hammond/04hammond.html}, volume = 11, year = 2005 } @misc{Ramos06, abstract = {Wasps, bees, ants and termites all make effective use of their environment and resources by displaying collective "swarm" intelligence. Termite colonies - for instance - build nests with a complexity far beyond the comprehension of the individual termite, while ant colonies dynamically allocate labor to various vital tasks such as foraging or defense without any central decision-making ability. Recent research suggests that microbial life can be even richer: highly social, intricately networked, and teeming with interactions, as found in bacteria. What strikes from these observations is that both ant colonies and bacteria have similar natural mechanisms based on Stigmergy and Self-Organization in order to emerge coherent and sophisticated patterns of global foraging behavior. Keeping in mind the above characteristics we propose a Self-Regulated Swarm (SRS) algorithm which hybridizes the advantageous characteristics of Swarm Intelligence as the emergence of a societal environmental memory or cognitive map via collective pheromone laying in the landscape (properly balancing the exploration/exploitation nature of our dynamic search strategy), with a simple Evolutionary mechanism that trough a direct reproduction procedure linked to local environmental features is able to self-regulate the above exploratory swarm population, speeding it up globally. In order to test his adaptive response and robustness, we have recurred to different dynamic multimodal complex functions as well as to Dynamic Optimization Control problems, measuring reaction speeds and performance. Final comparisons were made with standard Genetic Algorithms (GAs), Bacterial Foraging strategies (BFOA), as well as with recent Co-Evolutionary approaches. SRS's were able to demonstrate quick adaptive responses, while outperforming the results obtained by the other approaches. Additionally, some successful behaviors were found: SRS was able to maintain a number of different solutions, while adapting to unforeseen situations even when over the same cooperative foraging period, the community is requested to deal with two different and contradictory purposes; the possibility to spontaneously create and maintain different subpopulations on different peaks, emerging different exploratory corridors with intelligent path planning capabilities; the ability to request for new agents (division of labor) over dramatic changing periods, and economizing those foraging resources over periods of intermediate stabilization. Finally, results illustrate that the present SRS collective swarm of bio-inspired ant-like agents is able to track about 65% of moving peaks traveling up to ten times faster than the velocity of a single individual composing that precise swarm tracking system. This emerged behavior is probably one of the most interesting ones achieved by the present work.}, author = {Ramos, Vitorino and Fernandes, Carlos and Rosa, Agostinho C.}, citeulike-article-id = {407750}, conference = {International Conference on the Simulation and Synthesis of Living Systems}, interhash = {ad015c697574e1fd38a25c5da9194d46}, intrahash = {804ad41798bd794f4f85c96bd6217127}, note = {arXiv:cs/0512002v1}, priority = {4}, title = {On Self-Regulated Swarms, Societal Memory, Speed and Dynamics}, url = {http://arxiv.org/abs/cs/0512002}, year = 2006 } @techreport{Ramos05, abstract = {Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause coherent functional global patterns to emerge. SI provides a basis with wich it is possible to explore collective (or distributed) problem solving without centralized control or the provision of a global model. To tackle the formation of a coherent social collective intelligence from individual behaviors, we discuss several concepts related to Self-Organization, Stigmergy and Social Foraging in animals. Then, in a more abstract level we suggest and stress the role played not only by the environmental media as a driving force for societal learning, as well as by positive and negative feedbacks produced by the many interactions among agents. Finally, presenting a simple model based on the above features, we will adress the collective adaptation of a social community to a cultural (environmenatl, contextual) or media informational dynamical landscape, represented here - for the purpose of different experiments - by several three-dimensional mathematical functions that suddenly change over time. Results indicate that the collective intelligence is able to cope and quickly adapt to unforseen situations even when over the same cooperative foraging period, the community is requested to deal with two different and contradictory purposes.}, author = {Ramos, Vitorino and Fernandes, Carlos and Rosa, Agostinho C.}, citeulike-article-id = {407689}, institution = {Insituto Superior Técnico, Universidade Técnica de Lisboa}, interhash = {94852bf2e4e639cbbb0f29ababeb6161}, intrahash = {7debdcf93027a77b3b928caae4121dff}, note = {arXiv:nlin/0502057v1}, number = {CVRM-IST 127E-2005}, priority = {4}, title = {Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes}, url = {http://arxiv.org/abs/nlin/0502057}, year = 2005 } @inproceedings{jaeschke2006trias, address = {Hong Kong}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, booktitle = {Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}, interhash = {b4964c3bdd2991a80873d7080ef6a73e}, intrahash = {e387c294129e11f4221514d5fa807e26}, isbn = {0-7695-2701-9}, issn = {1550-4786}, month = {December}, pages = {907-911}, publisher = {IEEE Computer Society}, title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/jaeschke2006trias.pdf}, vgwort = {19}, year = 2006 } @inproceedings{hotho2006information, abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.}, address = {Heidelberg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications}, editor = {Sure, York and Domingue, John}, interhash = {10ec64d80b0ac085328a953bb494fb89}, intrahash = {3c301945817681d637ee43901c016939}, month = {June}, pages = {411-426}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Information Retrieval in Folksonomies: Search and Ranking}, volume = 4011, year = 2006 } @inproceedings{schmitz2006mining, address = {Berlin, Heidelberg}, annote = {Proc. of the 10th IFCS Conf.}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Data Science and Classification}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {7f502f47bd0e584190337e3e2d4eba9e}, isbn = {978-3-540-34415-5}, pages = {261--270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, title = {Mining Association Rules in Folksonomies}, year = 2006 } @inproceedings{hotho03wordnet, address = {Toronto}, author = {Hotho, A and Staab, S. and Stumme, G.}, booktitle = {Proc. SIGIR Semantic Web Workshop}, comment = {alpha}, interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe}, intrahash = {04c7d86337d68e4ed9ae637029c43414}, title = {Wordnet improves text document clustering}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf}, year = 2003 } @incollection{berendt04usage, 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.}, address = {Boston}, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, booktitle = {Data Mining Next Generation Challenges and Future Directions}, editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena}, interhash = {272317659fc9bad03d6083a7afc1bc35}, intrahash = {0ef00fe39718eae61dca4d251b14578d}, isbn = {0-262-61203-8}, pages = {461-481}, publisher = {AAAI Press}, title = {Usage Mining for and on the Semantic Web}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}, year = 2004 } @inproceedings{stumme02usage, address = {Baltimore}, author = {Stumme, G. and Berendt, B. and Hotho, A.}, booktitle = {Proc. NSF Workshop on Next Generation Data Mining}, comment = {alpha}, interhash = {479de77764be1ec66534be1c647e0857}, intrahash = {4a68d1443065dcd7980989e97cb0af69}, month = {November}, pages = {77-86}, title = {Usage Mining for and on the Semantic Web}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/NSF-NGDM02.pdf}, year = 2002 } @inproceedings{berendt02towards, address = {Heidelberg}, author = {Berendt, B. and Hotho, A. and Stumme, G.}, booktitle = {The Semantic Web -- ISWC 2002}, comment = {alpha}, editor = {Horrocks, I. and Hendler, J.}, interhash = {4dd40c50089d3b86fb235bfaf3c8bee7}, intrahash = {fc1c88be5f8c2640ca6e9a40b5fa1c7b}, pages = {264-278}, publisher = {Springer}, series = {LNCS}, title = {Towards Semantic Web Mining}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/ISWC02.pdf}, year = 2002 } @inproceedings{Voelkel:2006:WIF, author = {V{\"{o}}lkel, Max and Oren, Eyal}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, editor = {V{\"{o}}lkel, Max and Schaffert, Sebastian}, interhash = {1c08090fa04a754e08fe14f0864ec351}, intrahash = {2216064c82c0d31a0b2ae930a955328d}, title = {Towards a Wiki Interchange Format (WIF)}, url = {\url{http://www.xam.de/2006/06-WIF-SemWiki2006.pdf}}, year = 2006 } @inproceedings{tane03courseware, abstract = {Topics in education are changing with an ever faster pace. E-Learning resources tend to be more and more decentralised. Users need increasingly to be able to use the resources of the web. For this, they should have tools for finding and organizing information in a decentral way. In this, paper, we show how an ontology-based tool suite allows to make the most of the resources available on the web.}, author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd and Staab, Steffen and Studer, R.}, booktitle = {Mobiles Lernen und Forschen - Beiträge der Fachtagung an der Universität}, comment = {alpha}, editor = {David, Klaus and Wegner, Lutz}, interhash = {7f33080bb78d089b24bf51c059f8f018}, intrahash = {850949481723b7dd03768ccd96b25cb9}, month = {November}, pages = {93-104}, publisher = {Kassel University Press}, title = {The Courseware Watchdog: an Ontology-based tool for finding and organizing learning material}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/tane2003courseware.pdf}, year = 2003 } @inproceedings{DeWaard:2006:ABCDE, abstract = {-We believe that the best way to present a narrative to a computer is to let the author explicitly create a rich semantic structure for the article during writing. – We propose an open-standard, widely (re)useable format, the ABCDE format for proceedings and workshop contributions that can be easily mined, integrated and consumed by semantic browsers and wikis. – There need not be an abstract in an ABCDE document - instead, the author denotes core sentences within the B,C and D sections, which are compiled through a macro to form a structured abstract. – We believe a LATEX stylesheet provides a suitable input format for providing authors with a semantic structure to work from. – We provide the abcde.sty LATEX file as an appendix to this paper. – Macros are provided to specify Dublin Core Elements, and to print a list of those that are specified. – Our section division into Background, Contribution, and Discussion is backed by a number of emperical studies. – We aim to work on different incarnations of this format and open it up to modification and development.}, author = {de Waard, Anita and Tel, Gerard}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {000966551e3866157616aed11385fa80}, intrahash = {983a9fa2be0271f92d0dfd8a5cd16935}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {The ABCDE Format Enabling Semantic Conference Proceedings}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @techreport{hotho03textclustering, abstract = {Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large amounts of information into a small number of meaningful clusters. Standard partitional or agglomerative clustering methods efficiently compute results to this end. However, the bag of words representation used for these clustering methods is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. Also, it is mostly left to the user to find out why a particular partitioning has been achieved, because it is only specified extensionally. In order to deal with the two problems, we integrate background knowledge into the process of clustering text documents. First, we preprocess the texts, enriching their representations by background knowledge provided in a core ontology — in our application Wordnet. Then, we cluster the documents by a partitional algorithm. Our experimental evaluation on Reuters newsfeeds compares clustering results with pre-categorizations of news. In the experiments, improvements of results by background knowledge compared to the baseline can be shown for many interesting tasks. Second, the clustering partitions the large number of documents to a relatively small number of clusters, which may then be analyzed by conceptual clustering. In our approach, we applied Formal Concept Analysis. Conceptual clustering techniques are known to be too slow for directly clustering several hundreds of documents, but they give an intensional account of cluster results. They allow for a concise description of commonalities and distinctions of different clusters. With background knowledge they even find abstractions like “food” (vs. specializations like “beef” or “corn”). Thus, in our approach, partitional clustering reduces first the size of the problem such that it becomes tractable for conceptual clustering, which then facilitates the understanding of the results.}, author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd}, comment = {alpha}, institution = {University of Karlsruhe, Institute AIFB}, interhash = {0bc7c3fc1273355f45c8970a7ea58f97}, intrahash = {61d58db419af0dbc3681432588219c3d}, title = {Text Clustering Based on Background Knowledge}, type = {Technical Report }, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003text.pdf}, volume = 425, year = 2003 } @inproceedings{Buffa:2006:SweetWiki, 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.}, author = {Buffa, Michel and Crova, Gaël and Gandon, Fabien and Lecompte, Claire and Passeron, Jeremy}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {1c74dcb1a3394af9f9a61b8a9228d693}, intrahash = {76b6d7afdb3d4f4c19cb02a60c41bb0c}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {SweetWiki : Semantic WEb Enabled Technologies in Wiki}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{hartmann02semanticweb, address = {Oldenburg}, author = {Hartmann, J. and Hotho, A. and Stumme, G.}, booktitle = {Proc. Arbeitskreistreffen Knowledge Discovery}, comment = {alpha}, interhash = {c07545febc9e7b32803bf33547ec9004}, intrahash = {a5f1a8b42409b96271bc5c671deceea9}, month = {September}, title = {Semantic Web Mining for Building Information Portals (Position Paper)}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/hartmann2002semanticweb.pdf}, year = 2002 } @inproceedings{berendt05semantic, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space}, editor = {Svatek, Vojtech and Snasel, Vaclav}, interhash = {e4b853ff13b63a88b009610890b89348}, intrahash = {f8826ba2790eeb857dd4becb31a08225}, isbn = {80-248-0864-1}, pages = {1--16}, publisher = {Technical University of Ostrava}, title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space}, vgwort = {29}, year = 2005 } @proceedings{stumme01semantic, address = {Freiburg}, comment = {alpha}, editor = {Stumme, G. and Hotho, A. and Berendt, B.}, interhash = {ba288488b822fd20d4d7d947f8036360}, intrahash = {f6d06d221aab066b6cae38b595d35ffc}, month = {September 3rd,}, title = {Semantic Web Mining}, url = {http://semwebmine2001.aifb.uni-karlsruhe.de/online.html}, year = 2001 } @inproceedings{tane04semantic, author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)}, ee = {http://doi.acm.org/10.1145/1013369}, interhash = {92089bd1e3e798b50fe7c82cd8333e7b}, intrahash = {10efb9940c6f2881cd6c84b6c52bebd8}, pages = {1-10}, title = {Semantic resource management for the web: an e-learning application}, url = {http://www.www2004.org/proceedings/docs/2p1.pdf}, year = 2004 } @proceedings{berendt05european, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semerano, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and van Someren, Maarten}, interhash = {6dfd547a42a7bd5ccacce75ea8875704}, intrahash = {f306e43da22adede0286917d5d83eb3b}, title = {Proc. of the European Web Mining Forum 2005}, url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}, year = 2005 } @proceedings{SemWiki2006-proceedings, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {25c4d07a674694805cd9bf759037ff4f}, intrahash = {6729d6637b54ea901e5a021153186f3b}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{hotho03ontologies, address = {Melbourne, Florida}, author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd}, booktitle = {Proceedings of the 2003 IEEE International Conference on Data Mining}, comment = {alpha}, interhash = {b56c36d6d9c9ca9e6bd236a0f92415a5}, intrahash = {57a39c81cff1982dbefed529be934bee}, month = {November 19-22,}, pages = {541-544 (Poster}, publisher = {IEEE {C}omputer {S}ociety}, title = {Ontologies improve text document clustering}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003ontologies.pdf}, year = 2003 } @inproceedings{Schaffert:2006:LwSW, 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.}, author = {Schaffert, Sebastian and Bischof, Diana and Bürger, Tobias and Gruber, Andreas and Hilzensauer, Wolf and Schaffert, Sandra}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {7eb99c7ee3914350befe8db528bbfc86}, intrahash = {3f758ae7bab7262f48818b03fdb4fa59}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Learning with Semantic Wikis}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inbook{schmitz2006kollaboratives, 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.}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft}, editor = {Pellegrini, Tassilo and Blumauer, Andreas}, interhash = {cc0f3d4fa8f36968f02837e3f9f5c57b}, intrahash = {53e13744981f2c04d9239e0cf9b4e689}, isbn = {3-540-29324-8}, pages = {273-290}, publisher = {Springer}, title = {Kollaboratives Wissensmanagement}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf}, year = 2006 } @inproceedings{Kiesel:2006:Kaukolu, 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.}, author = {Kiesel, Malte}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, comment = {Best Short Paper at the Workshop}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {f01e0a7a8b9797f4fe0f0e619cd7bfb9}, intrahash = {443c11410edcad7d143bdf62e953701b}, month = {June}, organization = {DFKI}, owner = {voelkel}, pdf = {http://www.dfki.uni-kl.de/~kiesel/2006-06-12-Kaukolu-SemWikiESWC2006.pdf}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Kaukolu: Hub of the Semantic Corporate Intranet}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{bozsak02kaon, author = {Bozsak, E. and Ehrig, M. and Handschuh, S. and Hotho, A. and Maedche, A. and Motik, B. and Oberle, D. and Schmitz, Ch. and Staab, S. and Stojanovic, L. and Stojanovic, N. and Studer, R. and Stumme, G. and Sure, Y. and Tane, J. and Volz, R. and Zacharias, V.}, booktitle = {Proc. of the 3rd Intl. Conf. on E-Commerce and Web Technologies (EC-Web 2002)}, comment = {alpha}, editor = {Bauknecht, K. and Tjoa, A. Min and Quirchmayr, G.}, interhash = {940750309ac472ea48a712e16b5d902a}, intrahash = {1c7a959ea95158348d99c9922c53fe66}, pages = {304-313}, title = {{KAON} -- Towards a Large Scale Semantic Web}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/EC-Web02.pdf}, year = 2002 } @inproceedings{Hepp:2006:HWC, 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.}, author = {Hepp, Martin and Bachlechner, Daniel and Siorpaes, Katharina}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {640e549f082756c3272467c9df64307e}, intrahash = {d120c5c498e9cec5ce2934537c58978f}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{hotho03explaining, abstract = {Common text clustering techniques offer rather poor capabilities for explaining to their users why a particular result has been achieved. They have the disadvantage that they do not relate semantically nearby terms and that they cannot explain how resulting clusters are related to each other. In this paper, we discuss a way of integrating a large thesaurus and the computation of lattices of resulting clusters into common text clustering in order to overcome these two problems. As its major result, our approach achieves an explanation using an appropriate level of granularity at the concept level as well as an appropriate size and complexity of the explaining lattice of resulting clusters.}, address = {Heidelberg}, author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd}, booktitle = {Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases}, comment = {alpha}, editor = {Lavra\v{c}, Nada and Gamberger, Dragan and Todorovski, Hendrik BlockeelLjupco}, interhash = {cf66183151a5d94a0941ac6d5089ae89}, intrahash = {53a943b6be4b34cf4e5329d0b58e99f6}, pages = {217-228}, publisher = {Springer}, series = {LNAI}, title = {Explaining Text Clustering Results using Semantic Structures}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003explaining.pdf}, volume = 2838, year = 2003 } @inproceedings{Dello:2006:Makna, author = {Dello, Karsten and Simperl, Elena Paslaru Bontas and Tolksdorf, Robert}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {fb56412abc866c54f002c3a8aea57d4b}, intrahash = {013848e4524eba386dfef892be562ea7}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Creating and using Semantic Web information with Makna}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{hotho02conceptualclustering, author = {Hotho, A. and Stumme, G.}, booktitle = {Proc. Fachgruppentreffen Maschinelles Lernen (FGML 2002)}, comment = {alpha}, editor = {K\'okai, G. and Zeidler, J.}, interhash = {3dd3d4ce38d0de0ba8e167f8133cbb3e}, intrahash = {e253c44552a046fe90236274bcfeab13}, pages = {37-45}, title = {Conceptual Clustering of Text Clusters}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/FGML02.pdf}, year = 2002 } @inproceedings{studer03building, address = {Osaka, Japan}, author = {Studer, Rudi and Stumme, Gerd and Handschuh, Siegfried and Hotho, Andreas and Motik, B.}, booktitle = {New Trends in Knowledge Processing -- Data Mining, Semantic Web and Computational}, comment = {alpha}, interhash = {67d164f4a531ddf0f84df0b5de52e80a}, intrahash = {a0e7b52680f1876cdd9cd21f7cb2f95c}, month = {March 10-11,}, pages = {31-34}, title = {Building and Using the Semantic Web}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/Sanken03.pdf}, year = 2003 } @inproceedings{Souzis:2006:RhizomeWikiWay, author = {Souzis, Adam}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {0c135dd900d4514469a1fe108dfc6e52}, intrahash = {f845f3ce91ac0268e73c494be9d8eb32}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Bringing the "Wiki-Way" to the Semantic Web with Rhizome}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{Lange:2006:ASW4MKM, author = {Lange, Christoph and Kohlhase, Michael}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {52fb2651a1376b7c11c0375ed91658f9}, intrahash = {09499c09e4c9b63f2d881ecdf13795bf}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {A Semantic Wiki for Mathematical Knowledge Management}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{Oren:2006:semwiki, abstract = {Semantic Wikis allow users to semantically annotate their Wiki content. The particular annotations can differ in expressive power, simplicity, and meaning. We present an elaborate conceptual model for semantic annotations, introduce a unique and rich Wiki syntax for these annotations, and discuss how to best formally represent the augmented Wiki content. We improve existing navigation techniques to automatically construct faceted browsing for semistructured data. By utilising the Wiki annotations we provide greatly enhanced information retrieval. Further we report on our ongoing development of these techniques in our prototype SemperWiki.}, author = {Oren, Eyal and Delbru, Renaud and M{\"{o}}ller, Knud and V{\"{o}}lkel, Max and Handschuh, Siegfried}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, editor = {V{\"{o}}lkel, Max}, interhash = {81b5885e573d9bfb06a6be9c91eefe7e}, intrahash = {bdafa917ac5c469d80c137caeea983fd}, month = JUN, title = {Annotation and Navigation in Semantic Wikis}, url = {\url{http://www.eyaloren.org/pubs/semwiki2006.pdf}}, year = 2006 } @inproceedings{jaeschke06wege, abstract = {Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "Web 2.0" -- stellen Folksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und mit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen ein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies.}, address = {Halle-Wittenberg}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken}, editor = {Braß, Stefan and Hinneburg, Alexander}, interhash = {59224b5889a24108434a9b5ecc6b0887}, intrahash = {2b6be3bd5daee7119973fcf69909956f}, month = {June}, pages = {80-84}, publisher = {Martin-Luther-Universität }, title = {Wege zur Entdeckung von Communities in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/jaeschke/pub/jaeschke2006wege_gvd.pdf}, year = 2006 } @inproceedings{stumme05finite, author = {Stumme, Gerd}, booktitle = {Proceedings of the 3rd International Conference on Formal Concept Analysis}, editor = {Ganter, Bernhard and Godin, Robert}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3403{\&}spage=315}, interhash = {7d85e1092613fd7c91d6ba5dfcf4a044}, intrahash = {840d97c6873133e49d39b1207f762430}, isbn = {3-540-24525-1}, pages = {315-328}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {A Finite State Model for On-Line Analytical Processing in Triadic Contexts.}, volume = 3403, year = 2005 }