BibSonomy publications for /user/nepomuk/lang:enWed Jan 21 11:18:18 CET 2009Finding Experts on the Semantic Desktop200810 2008 from:demartini l3s lang:en wp5 Expert retrieval has attracted deep attention because of the huge economical impact it can have on enterprises. The classical dataset on which to perform this task is company intranet (i.e., personal pages, e-mails, documents). We propose a new system for nding experts in the user's desktop content. Looking at private documents and e-mails of the user, the system builds expert proles for all the people named in the desktop. This allows the search system to focus on the user's topics of interest thus generating satisfactory results on topics well represented on the desktop. We show, with an articial test collection, how the desktop content is appropriate for nding experts on the topic the user is interested in.Tue 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 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.Thu Jul 24 17:14:09 CEST 2008IJWIS2198-214Adaptive ontology re-use: finding and re-using sub-ontologies420082008 L3S from:stecher lang:en ontologies reuse The discovery of the "right" ontology or ontology part is a central ingredient for effective ontology re-use. We present an approach for supporting a form of adaptive re-use of sub-ontologies, where the ontologies are deeply integrated beyond pure referencing.Thu Jul 24 00:24:34 CEST 2008AAAI Spring Symposium on AI Meets Business Rules and Process Management, Stanford Univ.99-104Business Process Modeling, Task Management, and the Semantic Link200804 2008 SAP WP3 businessprocess from:uvriss lang:en semanticwebservices webservice Thu Jul 24 00:15:47 CEST 2008Multikonferenz Wirtschaftsinformatikconf/mkwi/2008KASIMIR - Work process embedded task management leveraging the Semantic Desktop.200802 2008 SAP WP10 from:uvriss lang:en taskmanagement 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.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. Mon Jun 11 19:44:18 CEST 20074th Conference on Professional Knowledge Management - Experiences and Visions -, March 28. - 30. 2007, Potsdam, Germany03Pattern-Based Task Management: Pattern Lifecycle and Knowledge Management - Benefits and open issues200703 2007 SAP WP10 from:ogr lang:en pattern task taskmanagement Due to their different provenience, a thorough integration between Knowledge Management Systems (KMS) and Knowledge Work Support, e.g., Task Management Systems, is still missing. In the present paper we identify several points of fracture in the information transfer process between both. Hereupon we argue that the recently suggested Pattern-Based Task Management (PBTM) better integrates the two paradigms, leading to an entanglement between both sides. It results a knowledge lifecycle that goes beyond single-loop learning. By the introduction of task patterns that guide users in work planning and execution and motivate collective improvement, PBTM even fosters double-loop learning.Mon Jun 11 19:44:18 CEST 20074th Conference on Professional Knowledge Management - Experiences and Visions -, March 28. - 30. 2007, Potsdam, GermanyTask Management for the NEPOMUK Social Semantic Desktop (Poster)200703 2007 NEPOMUK SAP Semantic Social WP10 announce desktop from:ogr lang:en pattern poster task taskmanagement Mon Jun 11 19:44:18 CEST 20074th Conference on Professional Knowledge Management - Experiences and Visions -, March 28. - 30. 2007, Potsdam, Germany03Pattern-based task management & implicit knowledge - How to mobilize implicit knowledge200703 2007 SAP WP10 from:ogr lang:en pattern task taskmanagement Knowledge work often suffers from the inexpertness of novices in an organization. Therefore, one important goal within knowledge work is to turn novices into experts. For gaining expertise an important factor is implicit knowledge (IK). Even if Information Technology cannot transfer IK directly, it can support the transfer more or less efficiently. We present a knowledge management system, the pattern-based task management (PBTM), which addresses this difficult challenge. Invoking the model of basic communication [Wal05], we show how PBTM aids the experienced user to better provide contextualized knowledge and the inexperienced user to better internalize it again in order to gain expertise. Mon Jun 11 19:44:18 CEST 20074th Conference on Professional Knowledge Management - Experiences and Visions -, March 28. - 30. 2007, Potsdam, Germany03Motivate users to construct collective knowledge via IT - A psychological view on pattern-based task management200703 2007 SAP WP10 from:ogr lang:en pattern task taskmanagement Collective knowledge construction is often inhibited by motivational barriers. In this paper we present pattern-based task management (PBTM) as a system to construct collective knowledge and show ways how to foster motivation. We present the motivational structure of the knowledge sharing situation as a social dilemma which feeds free-riding. To avoid this, we concentrate on ways to overcome the dilemma from a psychological perspective by presenting concrete suggestions on increasing users' motivation to actively participate in PBTM. The goal is to foster collective knowledge con-struction as a social process.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.