Haller, H.: QuiKey. In: Bloehdorn, S.; Grobelnik, M.; Mika, P. & Duc, T. T. (Hrsg.): Proceedings of the Workshop on Semantic Search (SemSearch 2008) at the 5th European Semantic Web Conference (ESWC 2008). CEUR-WS, 2008 (334), S. 74-78
[Volltext]
Haller, H.: QuiKey – The Smart Semantic Commandline (a Concept). , 2008
[Volltext]
Minack, E.; Sauermann, L.; Grimnes, G.; Fluit, C. & Broekstra, J.: The Sesame Lucene Sail: RDF Queries with Full-text Search. , 2008
[Volltext]
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.
} }
Sauermann, L. & Heim, D.: Evaluating long-term use of the Gnowsis Semantic Desktop for PIM. Proc. ISWC Conference. 2008 (LNCS 5318), S. pp 467-482
[Volltext]
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.
Schuhmacher, K.; Sintek, M. & Sauermann, L.: Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search. In: Bechhofer, S.; Hauswirth, M.; Hoffmann, J. & Koubarakis, M. (Hrsg.): Proc. of ESWC. Springer, 2008, S. 569-583 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.
[Volltext]
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.} }
Schumacher, K.; Sintek, M. & Sauermann, L.: Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search. In: Bechhofer, S.; Hauswirth, M.; Hoffmann, J. & Koubarakis, M. (Hrsg.): Proc. of ESWC. Springer, 2008, S. 569-583 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.
[Volltext]
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.} }
Völkel, M. & Abecker, A.: Cost-Benefit Analysis for the Design of Personal Knowledge Management Systems. Proc. of 10th International Conference on Enterprise Information Systems. 2008
[Volltext]
Völkel, M.: Hypertext Knowledge Workbench. In: Lange, C. (Hrsg.): Proc. of the Third Workshop on Semantic Wikis – The Wiki Way of Semantics. 2008
[Volltext]
Völkel, M.; Schaffert, S. & Oren, E.: Personal Knowledge Management with Semantic Technologies. In: Rech, J.; Decker, B. & Ras, E. (Hrsg.): Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications. Information Science Reference, 2008
Völkel, M.: Tutor at the NEPOMUK summer school. , 2008
Adrian, B.; Sauermann, L. & Roth-Berghofer, T.: ConTag: A semantic tag recommendation system. In: Pellegrini, T. & Schaffert, S. (Hrsg.): Proceedings of I-Semantics' 07. JUCS, 2007, S. pp. 297-304 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.
[Volltext]
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.} }
Groza, T.; Handschuh, S.; Moeller, K.; Grimnes, G.; Sauermann, L.; Minack, E.; Mesnage, C.; Jazayeri, M.; Reif, G. & Gudjonsdottir, R.: The NEPOMUK Project - On the way to the Social Semantic Desktop. In: Pellegrini, T. & Schaffert, S. (Hrsg.): Proceedings of I-Semantics' 07. JUCS, 2007, S. pp. 201-211
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.
[Volltext]
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.} }
Nadeem, D. & Sauermann, L.: From Philosophy and Mental-Models to Semantic Desktop research: Theoretical
Overview. In: Pellegrini, T. & Schaffert, S. (Hrsg.): Proceedings of I-Semantics' 07. JUCS, 2007, S. pp. 211-220 (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.
[Volltext]
This paper examines issues on Philosophy of Artificial Intelligence
Overview}, editor = {Pellegrini, Tassilo and Schaffert, Sebastian}, booktitle = {Proceedings of I-Semantics' 07}, publisher = {JUCS}, year = {2007}, pages = {pp. 211-220}, url = {http://www.dfki.uni-kl.de/~sauermann/papers/nadeem+2007a.pdf}, doi = {ISSN 0948-6968}, keywords = {09 2007 dfki from:leobard imported nepomuk wp2}, abstract = {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.} }
Sauermann, L.; van Elst, L. & Dengel, A.: PIMO - a Framework for Representing Personal Information Models. In: Pellegrini, T. & Schaffert, S. (Hrsg.): Proceedings of I-Semantics' 07. JUCS, 2007, S. pp. 270-277
[Volltext]
Fernandez-Garcia, N.; Sauermann, L.; Sanchez, L. & Bernardi, A.: PIMO Population and Semantic Annotation for the Gnowsis Semantic Desktop. Proceedings of the Semantic Desktop and Social Semantic Collaboration. 2006 (CEUR-WS 202)
[Volltext]
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.
Haller, H.: iMapping - a Graphical Approach to Semi-Structured Knowledge Modelling. In: Rutledge, L. (Hrsg.): Proceedings of the The 3rd International Semantic Web User Interaction Workshop (SWUI2006). 2006 (3)
[Volltext]
iMapping is a technique for visually structuring information objects. It supports the full range from informal note taking over semi-structured personal information management to formal knowledge models. With iMaps, users can easily go from overview to fine-grained structures while browsing, editing or refining the knowledge base in one comprehensive view. An iMap is comparable to a large white-board where information items can be positioned like post-its but also nested into each other. Spatial browsing and zooming as well as graphical editing facilities make it easy to structure content in an intuitive way. iMapping builds on a zooming user interface approach to facilitate navigation and to help users maintain an overview in the knowledge space. While a first implementation is being developed, iMapping is still in a conceptual stage. In this paper we describe the iMapping approach and how it tries to combine and extend the advantages of other approaches.
Sauermann, L.: PIMO-a PIM Ontology for the Semantic Desktop (draft). , 2006
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.
[Volltext]
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.} }
Sauermann, L.; Grimnes, G. A.; Kiesel, M.; Fluit, C.; Maus, H.; Heim, D.; Nadeem, D.; Horak, B. & Dengel, A.: Semantic Desktop 2.0: The Gnowsis Experience. Proc. of the ISWC Conference. 2006
[Volltext]
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.