BibSonomy publications for /user/nepomuk/from:leobardTue Jan 20 12:21:05 CET 2009Talk12Talk: The Semantic Desktop - a new hope for Personal Information Management200812 2008 dfki from:leobard lang:en wp2 wp7 With today's operating systems it is possible to store a file to a folder, but not to a project or a person. Applications do not share concepts of persons or projects. In the Semantic Web effort, the W3C has proposed standards for the management of metadata. This talk is about a merge of Semantic Web and Personal Computers resulting in the Semantic Desktop. Existing data sources are adapted to RDF, enabling integration across applications. Different projects aim at implementing the new paradigm, in the talk the open source frameworks published by the NEPOMUK project are presented.Thu Nov 13 14:32:38 CET 2008Tutorial: Semantic Desktop Solutions200810 2008 deri dfki from:leobard lang:en nepomuk wp1 wp2 wp7 Thu Nov 13 14:32:38 CET 2008NEPOMUK Nexus Exhibition at the ISWC2008200810 2008 DERI DFKI FZI from:leobard wp7 Thu Nov 13 14:32:38 CET 2008Talk: The Semantic Desktop - Semantic Web in Applications200809 2008 dfki from:leobard lang:en nepomuk wp2 wp7 Wed Nov 05 17:13:43 CET 2008Proc. ISWC Conferencepp 467-482LNCSEvaluating long-term use of the Gnowsis Semantic Desktop for PIM5318200810 2008 dfki from:leobard imported iswc iswc2008 lang:en nepomuk semanticdesktop semanticweb semdesk wp2 The Semantic Desktop is a means to support users in Personal Information Management (PIM). Using the open source software prototype Gnowsis, we evaluated the approach in a two month case study in 2006 with eight participants. Two participants continued using the prototype and were interviewed after two years in 2008 to show their long-term usage patterns. This allows us to analyse how the system was used for PIM. Contextual interviews gave insights on behaviour, while questionnaires and event logging did not. We discovered that in the personal environment, simple has-Part and is-related relations are sufficient for users to file and re-find information, and that the personal semantic wiki was used creatively to note information.Tue Sep 02 11:14:18 CEST 2008Proc. of ESWCJune569-583Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search200806 2008 dfki from:leobard imported lang:en wp2 The Semantic Desktop is a means to support users in Personal Information Management (PIM). It provides an excellent test bed for Semantic Web technology: resources (e. g., persons, projects, messages, documents) are distributed amongst multiple systems, ontologies are used to link and annotate them. Finding information is a core element in PIM. For the end user, the search interface has to be intuitive to use, natural language queries provide a simple mean to express requests. State of the art semantic search engines focus on fact retrieval or on semantic document retrieval. We combine both approaches to search the Semantic Desktop exploiting all available information. Our semantic search engine, built on semantic teleporting and spreading activation, is able to answer natural language queries with facts, e. g., a specific phone number, and/or relevant documents. We evaluated our approach on ESWC 2007 data in comparison with Google site search.Wed Jun 18 21:26:52 CEST 200803Leo Sauermann was invited to present slides about NEPOMUK at the Studecki Festiwal Informatyczny, an bigger event organized by polish students. http://www.sfi.org.pl/Presentation of NEPOMUK at Krakow Student Festival200803 2008 dfki from:leobard lang:en nepomuk wp2 Wed Jun 18 21:26:52 CEST 2008Proc. of ESWCJune569-583Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search200806 2008 dfki from:leobard imported lang:en wp2 The Semantic Desktop is a means to support users in Personal Information Management (PIM). It provides an excellent test bed for Semantic Web technology: resources (e. g., persons, projects, messages, documents) are distributed amongst multiple systems, ontologies are used to link and annotate them. Finding information is a core element in PIM. For the end user, the search interface has to be intuitive to use, natural language queries provide a simple mean to express requests. State of the art semantic search engines focus on fact retrieval or on semantic document retrieval. We combine both approaches to search the Semantic Desktop exploiting all available information. Our semantic search engine, built on semantic teleporting and spreading activation, is able to answer natural language queries with facts, e. g., a specific phone number, and/or relevant documents. We evaluated our approach on ESWC 2007 data in comparison with Google site search.Wed Jun 18 21:26:52 CEST 200804Presentation of NEPOMUK and Case Studies at Oil Industry Norway Semantic Web Days200804 2008 dfki from:leobard nepomuk wp2 Presentation of case studies of successfull Semantic Web use, NEPOMUK is one of them. Audience are Oil Industry and Defence Industry IT Executives.Fri May 30 11:43:56 CEST 2008W3C SWEO Case Study05SWEO Case studies include descriptions of systems that have been deployed within an organization, and are now being used within a production environment.Case Study: KDE 4.0 Semantic Desktop Search and Tagging200805 2008 dfki from:leobard lang:en mandriva wp12 wp2 KDE version 4.0 is a significant release that has been available since January 11, 2008. The libraries, desktop, applications, and artwork have been improved and adapted, and it now runs natively on a wider set of operating systems that include Linux, BSD, Solaris, Windows and Mac OS X. As part of this release, the search engine was overhauled and desktop annotation introduced. Based on standards and technologies developed in the NEPOMUK Semantic Desktop project, the search engine is now based on RDF and allows users to annotate and search for their files using Semantic Web standards.Thu Feb 14 13:50:10 CET 2008February2008-1The Sesame Lucene Sail: RDF Queries with Full-text SearchTechnical Report200802 2008 aduna dfki from:leobard imported l3s lang:en nepomuk wp2 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. Thu Jan 10 14:06:40 CET 2008Entwickler Magazin12Aimed for Popular Science and Developers1119-122Semantic Web am Desktop2008200712 2007 dfki from:leobard lang:de nepomuk semanticdesktop semanticweb wp2 Der Semantic Desktop macht den PC zum Denkwerkzeug. Wir haben genug Platz, um all unsere E-Mails, MP3s, Photos, Videos und Dokumente am Desktop zu speichern. Das Problem ist, diese Information zu verwalten. Dateisysteme bieten nur starre Hierarchien an. Tim Berners-Lee und das W3C haben bereits weiter gedacht: Menschen denken in Konzepten, das Semantic Web bietet mit RDF und Ontologien einen auf HTTP, URIs und HTML aufbauenden Standard zur Annotation und Suche. Der Semantic Desktop bringt Betriebssysteme und Anwendungen damit weg von den Dateien, auf die Stufe der Gedanken.Tue Nov 20 16:26:24 CET 2007Proceedings of I-Semantics' 07pp. 201-211The NEPOMUK Project - On the way to the Social Semantic Desktop200709 2007 dfki from:leobard imported nepomuk wp2 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.Tue Nov 20 16:26:24 CET 2007Proceedings of I-Semantics' 07pp. 211-220From Philosophy and Mental-Models to Semantic Desktop research: Theoretical Overview200709 2007 dfki from:leobard imported nepomuk wp2 This paper examines issues on Philosophy of Artificial Intelligence (AI), Cognitive Science and Mental Models. The paper provides a philosophical grounding for the researchers in Personal Information Management (PIM). An overview is given on various philosophical aspects of computer-based activities. Discussions on the theories relevant to understand the goals for the Semantic Desktop community are elicited. Philosophical theories are not immediately transparent to the programmers, but the ideas discussed here are intended to emphasize a theoretical foundation, with respect to Semantic Desktop long term goals. The goal of this paper is to examine the theories of Philosophy and to provide a conceptual idea to design user-intuitive Semantic Desktops. The paper tries to induce scientific curiosity among the Semantic Desktop researchers as well as to develop the future Semantic Desktops to realize Weak AI.Tue Nov 20 16:26:24 CET 2007Proceedings of I-Semantics' 07pp. 297-304ConTag: A semantic tag recommendation system200709 2007 dfki from:leobard imported nepomuk wp2 ConTag is an approach to generate semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 services. We designed and implemented a process to normalize documents to RDF format, extract document topics using Web 2.0 services and finally match extracted topics to a Semantic Web ontology. Due to ConTag we are able to show that the information provided by Web 2.0 services in combination with a Semantic Web ontology enables the generation of relevant semantic tag recommendations for documents. The main contribution of this work is a semantic tag recommendation process based on a choreography of Web 2.0 services.Tue Nov 20 16:26:24 CET 2007Proceedings of I-Semantics' 07pp. 270-277PIMO - a Framework for Representing Personal Information Models200709 2007 dfki from:leobard imported nepomuk wp2 Mon Jan 22 17:36:14 CET 2007ISWC2006 conference20062006 lang:en 11 dfki from:leobard wp2 Held a workshop on "The Semantic Desktop", presented a paper on "Semantic Desktop 2.0: The Gnowsis Experience", presented a poster and demo on the same topic. Intensified connections to various industrial and academic partners of Nepomuk.Fri Jan 12 15:20:22 CET 2007Proceedings of the Semantic Desktop and Social Semantic CollaborationCEUR-WSPIMO Population and Semantic Annotation for the Gnowsis Semantic Desktop20220062006 lang:en 11 nepomuk dfki from:leobard imported wp2 The Semantic Desktop brings the ideas and the technologies of the Semantic Web into the personal computer desktop. As a prerequisite for applying Semantic Web technologies to a certian domain of knowledge an ontological model of the domain is required. In the Gnowsis Semantic Desktop, the PIMO (Personal Information Model Ontology) addresses this problem by providing a generic lightweight ontology whose classes model the mian concepts involved in the daily activities of a person: places, organizations, persons, etc. But in order to be fully useful for a certain user, this generic model needs to be personalized and populated, adding more classes and concrete instances of the existent classes. As the process of manual population could be tedious and time consuming, in this paper we propose an alternative which tries to exploit the information that the user provides while performing Web searches. Apart from populating the PIMO, our approach is useful in resource annotation.Fri Jan 12 15:20:22 CET 2007Technical ReportPIMO-a PIM Ontology for the Semantic Desktop (draft)Draft20062006 lang:en nepomuk dfki from:leobard imported wp2 12 The Semantic Desktop needs a well-thought use of ontologies and ontology languages. Existing ontology languages like RDF/S, OWL, SKOS and Topic Maps are very well suited for certain application areas, but do not fulfill some of the requirements given on the Semantic Desktop. In this report, a new ontology language, extending RDF/S, is proposed, the PIMO ontology language, which addresses the requirements of the Semantic Desktop and uses existing solutions as an inspiration to build a suitable solution. The language contains a core upper ontology, defining basic classes for things, concepts, resources, persons, etc. and also stops at these basic entities. Extending the ontology definitions of classes and relations is possible by PIMO-domain ontologies. The core application area of the PIMO-language is to allow individual persons to express their own mental models in a structured way, the different mental models can then be integrated based on matching algorithms or on domain ontologies. Based on the core upper ontology elements, each user can extend his personal mental model in an open manner. Accompanying to the description of the ontology is a RDF/S version of the ontology language, created using the popular Protégé tool. An example of the mental model of a user is given, the fictional user "Paul" is further described. With the gnowsis-beta open source software, an implementation based on the PIMO language exists, that allows validating ontology files. A web-service for that will be provided soon. The ontology language, this document, the open-source reference implementation and the example documents can provide a stable basis for discussions on this topic and allow you to extend your own work.Fri Jan 12 15:20:22 CET 2007Proc. of the ISWC ConferenceNovSemantic Desktop 2.0: The Gnowsis Experience20062006 lang:en 11 nepomuk dfki from:leobard imported wp2 In this paper we present lessons learned from building a Semantic Desktop system, the gnowsis beta. On desktop computers, semantic software has to provide stable services and has to reflect the personal view of the user. Our approach to ontologies, the Personal Information Model PIMO allows to create tagging services like del.icio.us on the desktop. A semantic wiki allows further annotations. Continuous evaluations of the system helped to improve it. These results were created in the EPOS research project and are available in the open source projects Aperture, kaukoluwiki, and gnowsis and will be continued in the Nepomuk project. By using these components, other developers can create new desktop applications the web 2.0 way.