% This file was created with JabRef 2.6b2. % Encoding: UTF-8 @INPROCEEDINGS{clusteringESWC2008, author = {G. AA. Grimnes and P. Edwards and A. D. Preece}, title = {Instance Based Clustering of Semantic Web Resources.}, booktitle = {Proceedings of the 5th European Semantic Web Conference (ESWC 2008)}, year = {2008}, editor = {Sean Bechhofer and Manfred Hauswirth and Jörg Hoffmann and Manolis Koubarakis}, volume = {5021}, series = {Lecture Notes in Computer Science}, pages = {303-317}, publisher = {Springer}, crossref = {conf/esws/2008}, date = {2008-05-27}, description = {dblp}, ee = {http://dx.doi.org/10.1007/978-3-540-68234-9_24}, isbn = {978-3-540-68233-2}, keywords = {clustering instance my-own semantic }, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_clustering_ESWC08.pdf} } @INCOLLECTION{nepomukbookchapter, author = {A. Bernardi and S. Decker and L. van Elst and G. AA. Grimnes and T. Groza and S. Handschuh and M. Jazayeri and C. Mesnage and K. M\"oller and G. Reif and M. Sintek and L. Sauermann}, title = {The Social Semantic Desktop: A New Paradigm Towards Deploying the Semantic Web on the Desktop}, booktitle = {Semantic Web Engineering in the Knowledge Society}, publisher = {IGI Global}, year = {2008}, editor = {Jorge Cardoso; Miltiadis D. Lytras}, chapter = {XII}, pages = {290-312} } @INPROCEEDINGS{ecmlpaper, author = {P. Edwards and G. AA. Grimnes and A. Preece}, title = {{An Empirical Investigation of Learning from the Semantic Web}}, booktitle = {{ECML/PKDD, Semantic Web Mining Workshop, (ECML 2002)}}, year = {2002}, pages = {71-89}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_semweblearning_SWM_ECML02.pdf} } @PHDTHESIS{grimnes08, author = {G. AA. Grimnes}, title = {A goal directed learning agent for the Semantic Web}, school = {University of Aberdeen}, year = {2009}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_thesis_final.pdf} } @ARTICLE{icomSemDesk, author = {G. AA. Grimnes and B. Adrian and S. Schwarz and H. Maus and K. Schumacher and L. Sauermann}, title = {Semantic Desktop for the End-User}, journal = {i-com, Special Issue "Nutzerinteraktion im Social Semantic Web"}, year = {2009}, volume = {3}, pages = {25--32}, editor = {Jürgen Ziegler and Steffen Lohmann and Sören Auer}, owner = {grimnes}, timestamp = {2010.01.14}, url = {http://www.atypon-link.com/OLD/doi/abs/10.1524/icom.2009.0033} } @INPROCEEDINGS{granitenights, author = {Grimnes, G. AA. and Chalmers, S. and Edwards, P. and Preece, A.}, title = {{GraniteNights - A Multi-Agent Visit Scheduler Utilising Semantic Web Technology}}, booktitle = {{Seventh International Workshop on Cooperative Information Agents (CIA 2003)}}, year = {2003}, pages = {137--151}, address = {Helsinki, Finland}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_GraniteNights_CIA03.pdf} } @INPROCEEDINGS{foaflearning, author = {G. AA. Grimnes and P. Edwards and A. Preece}, title = {{Learning Meta-Descriptions of the FOAF Network}}, booktitle = {{Proceedings of the Third International Semantic Web Conference (ISWC 2004)}}, year = {2004}, pages = {152-165}, address = {Hiroshima, Japan}, publisher = {Springer Verlag}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_learningFOAF_ISWC04.pdf} } @INPROCEEDINGS{semwebpers, author = {G. AA. Grimnes and P. Edwards and A. Preece}, title = {{Learning from Semantic Flora and Fauna}}, booktitle = {{Semantic Web Personalization Workshop, AAAI, San Jose, USA (AAAI 2004)}}, year = {2004}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_semanticflora_SWP_AAAI04.pdf} } @INPROCEEDINGS{eswc05poster, author = {G. AA. Grimnes and A. Preece and P. Edwards}, title = {{Towards a Goal Driven Learner for the Semantic Web}}, booktitle = {{Poster, European Semantic Web Conference (ESWC 2005)}}, year = {2005}, owner = {ggrimnes}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/grimnes_towardsgdl_poster_ESWC05.pdf} } @INPROCEEDINGS{rdfhomepage, author = {G. AA. Grimnes and S. Schwarz and L. Sauermann}, title = {{RDFHomepage or Finally, a use for your FOAF file }}, booktitle = {Proceedings of Semantic Web Scripting Workshop at ESWC 2006}, year = {2006}, date-added = {2006-05-02 12:14:04 +0200}, date-modified = {2006-05-02 14:18:14 +0200}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/rdfhomepage.pdf} } @INPROCEEDINGS{groza+2007a, author = {Tudor Groza and Siegfried Handschuh and Knud Moeller and G. AA. Grimnes and Leo Sauermann and Enrico Minack and Cedric Mesnage and Mehdi Jazayeri and Gerald Reif and Rosa Gudjonsdottir}, title = {The NEPOMUK Project - On the way to the Social Semantic Desktop}, booktitle = {Proceedings of I-Semantics' 07}, year = {2007}, editor = {Tassilo Pellegrini and Sebastian Schaffert}, pages = {pp. 201-211}, publisher = {JUCS}, abstract = {This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful Semantic Desktop system and present an architecture that fulfills these requirements which was acquired by incremental refinement of the architecture of existing Semantic Desktop prototypes. The NEPOMUK project is primarily motivated by three real-life industrial use-cases, we briefly outline these and the processes used to extract required functionalities from the people working in these areas today, and we present a selection of typical tasks where the Semantic Desktop could be of benefit.}, doi = {ISSN 0948-6968}, file = {groza+2007a.pdf:groza+2007a.pdf:PDF}, owner = {sauermann}, timestamp = {2007.09.12}, url = {http://www.dfki.uni-kl.de/\~sauermann/papers/groza+2007a.pdf} } @TECHREPORT{Minack+2008, author = {Enrico Minack and Leo Sauermann and G. AA. Grimnes and Christiaan Fluit and Jeen Broekstra}, title = {The Sesame Lucene Sail: RDF Queries with Full-text Search}, institution = {NEPOMUK Consortium}, year = {2008}, type = {Technical Report}, number = {2008-1}, month = {February}, abstract = {With the growth of the Semantic Web, the requirements on storing and querying RDF has become more sophisticated. When a larger amount of data has to be managed, queries in structured query languages, such as SPARQL, are not always powerful enough. Use of additional keywords for querying can further reduce the result set towards the actual relevant answers, however, SPARQL only provides complete string matching or filtering based on regular expressions, which is a very slow operation. In contrast, state of the art Information Retrieval (IR) techniques provide sophisticated features such as keyword search, lemmatisation, stemming and ranking. In this paper we present a combination of structured RDF queries and full-text search. It is implemented as an extension of an established RDF store (Sesame) with IR capabilities using the text search library Lucene, without requiring modifications to existing RDF query languages.}, file = {Minack+2008.pdf:Minack+2008.pdf:PDF}, owner = {sauermann}, timestamp = {2008.02.14}, url = {http://nepomuk.semanticdesktop.org/xwiki/bin/download/Main1/Publications/Minack%202008.pdf} } @INPROCEEDINGS{ed_ecai, author = {E. Pignotti and P. Edwards and G. AA. Grimnes}, title = {{Context Aware Personalised Service Delivery}}, booktitle = {Proceedings of 16th European Conference on Artificial Intelligence (ECAI 2004)}, year = {2004}, owner = {grimnes}, timestamp = {2005.12.05}, url = {http://www.dfki.uni-kl.de/\~grimnes/papers/pignotti_contextaware_ECAI04.pdf} } @INPROCEEDINGS{gnowsis06, author = {L. Sauermann and G. AA. Grimnes and M. Kiesel and C. Fluit and H. Maus and D. Heim and D. Nadeem and B. Horak and A. Dengel}, title = {Semantic Desktop 2.0: The Gnowsis Experience}, booktitle = {Proceedings of the ISWC 2006 Conference}, year = {2006}, month = {Nov}, keywords = {gnowsis my-own }, owner = {sauermann}, timestamp = {2006.05.31} } @INPROCEEDINGS{Sauermann+2008a, author = {L. Sauermann and G. AA. Grimnes and T. Roth-Berghofer}, title = {The Semantic Desktop as a foundation for PIM research}, booktitle = {Proceedings of the Personal Information Management Workshop at the CHI 2008}, year = {2008}, editor = {Jaime Teevan and William Jones}, abstract = {Personal Information Management (PIM), both in science and in applications, is limited by the current approach to data management (files) and applications. The SemanticWeb and the Resource Description Framework (RDF) provide a standardized way to represent data, across applications and capture the respective application semantics. In recent years we have developed the Semantic Desktop approach, a semantic layer of personal computers that serves as middleware to integrate applications and their data. The user uses the Semantic Desktop to create a Personal Information Model (PIMO), a formal representation of the mental model of the user, and this PIMO is used to integrate various elements from the workspace. In this paper, we focus on what the Semantic Desktop can offer for research in Personal Information Management.}, owner = {sauermann}, timestamp = {2008.02.25}, url = {http://pim2008.ethz.ch/papers/pim2008-sauermann-etal.pdf} } @INPROCEEDINGS{sintek2007, author = {Michael Sintek and Ludger van Elst and Gunnar Grimnes and Simon Scerri and Siegfried Handschuh}, title = {Knowledge Representation for the Distributed, Social Semantic Web: Named Graphs, Graph Roles and Views in NRL}, booktitle = {Second International Workshop on Modular Ontologies (WoMO 07).}, year = {2007}, editor = {Bernardo Cuenca-Grau and Vasant Honavar and Anne Schlicht and Frank Wolter}, keywords = {my-own nepomuk nrl } } @inproceedings{pub4761, abstract = {Although Linked Open Data (LOD) has been available for roughly two years now, little is known about its usage. Motivating why it is important to understand the usage of Linked Data, we describe typical Linked Data usage scenarios and contrast the so derived requirement with conventional server access analysis. Then, we report on usage patterns found through an in-depth analysis of access logs of four popular LOD datasets. Eventually, based on the usage patterns we found in the analysis, we propose metrics for assessing Linked Data usage from the human and the machine perspective, taking into account different agent types and resource representations. }, year = {2010}, title = {Learning from Linked Open Data Usage: Patterns & Metrics}, booktitle = {Proceedings of the WebSci10: Extending the Frontiers of Society On-Line. Web Science Conference (WebSci), April 26-27, Raleigh,, North Carolina, United States}, rating_id = {1032}, publisher = {o.A.}, author = {Knud M\"oller and Michael Hausenblas and Richard Cyganiak and G. AA. Grimnes}, keywords = {linked-open-data my-own statistics}, url = {http://journal.webscience.org/302/1/websci1_submission_36.pdf} } @inproceedings{pub5192, series = {ACM International Conference Proceeding Series}, abstract = {Tagging has become a wide-spread tool for organising content, from photos and music, to research paper and data-visualisations. Organising tags in a taxonomy adds hierarchical structure and relationships, this can be helpful, both for finding and applying tags to new content, as well as for enabling {\it query expansion} when searching. However, taxonomies can be very time-consuming to create and maintain. If a hierarchical taxonomy could be automatically built and adapted to a particular domain, the entry cost for using taxonomies for structuring information would go down. Small and medium enterprises (SMEs) do not currently have sufficient resources to invest in Enterprise 2.0 technologies like taxonomies, wikis or blogging as the entry cost it too high. The \emph{\organik project} aims to make Enterprise 2.0 features available with low entry- and maintenance costs. In this paper, an algorithm and methodology to automatically create and maintain taxonomies is presented. It analyses enterprise document corpora and uses background information from domain-specific data sources or from the Linked Open Data cloud to improve and contextualise the created SKOS taxonomy. Content created in a Drupal-based Enterprise 2.0 content management system is automatically categorised, and the automatically created taxonomy is extended when needed. The system has been tested with corpora of medical abstracts, computer science papers, and the Enron email collection, and is in productive use.}, year = {2010}, title = {Using linked open data to bootstrap corporate knowledge management in the OrganiK project}, booktitle = {Proceedings of the 6th International Conference on Semantic Systems. International Conference on Semantic Systems (I-Semantics-10), September 1-3, Graz, Austria}, editor = {Adrian Paschke and Nicola Henze and Tassilo Pellegrini}, pages = {18:1-18:8}, isbn = {978-1-4503-0014-8}, publisher = {ACM}, author = {G. AA. Grimnes and Remzi Celebi and Leo Sauermann}, keywords = {Drupal, Enterprise 2.0, OrganiK, SKOS, knowledge commonality, knowledge management, tagging, thesaurus generation}, url = {http://doi.acm.org/10.1145/1839707.1839730} } @inproceedings{pub5070, abstract = {A common approach for serving Linked Data is to modify existing services to translate and export the underlying data as RDF. However, for many existing data sources on the web such an approach is not feasible: large installations might not be suitable for the changes necessary, programmers possibly are not able to adapt the software, or the data might not be suited for direct translation to RDF. DBTropes.org is a wrapper to TV Tropes, a wiki describing works of fiction by associating features---known as "Tropes". DBTropes is an independent service only using public data available via HTTP and translating it to RDF. Since the TV Tropes wiki does not provide structured data, the extracted data is noisy, and the interpretation of the data is sometimes ambiguous. DBTropes features a user interface that allows correcting and amending the data extracted from TV Tropes. This allows the extracted data to stay in sync with the original wiki, while also allowing the linked-data community to fix extraction error. }, month = {10}, year = {2010}, title = {DBTropes---a linked data wrapper approach incorporating community feedback}, booktitle = {EKAW 2010 Demo & Poster Abstracts. International Conference on Knowledge Engineering and Knowledge Management (EKAW-10), 17th, October 11-15, Lisbon, Portugal}, note = {Best Poster}, editor = {Johanna Völker and Oscar Corcho}, publisher = {o.A.}, author = {Malte Kiesel and G. AA. Grimnes}, keywords = {Linked Data Wrapper, Community Feedback}, url = {http://dbtropes.org/} }