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Documents authored by Kühnberger, Kai-Uwe


Document
Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)

Authors: Dedre Gentner, Frank van Harmelen, Pascal Hitzler, Krzysztof Janowicz, and Kai-Uwe Kühnberger

Published in: Dagstuhl Reports, Volume 2, Issue 5 (2012)


Abstract
A major focus in the design of Semantic Web ontology languages used to be on finding a suitable balance between the expressivity of the language and the tractability of reasoning services defined over this language. This focus mirrors the original vision of a Web composed of machine readable and understandable data. Similarly to the classical Web a few years ago, the attention is recently shifting towards a user-centric vision of the Semantic Web. Essentially, the information stored on the Web is from and for humans. This new focus is not only reflected in the fast growing Linked Data Web but also in the increasing influence of research from cognitive science, human computer interaction, and machine-learning. Cognitive aspects emerge as an essential ingredient for future work on knowledge acquisition, representation, reasoning, and interactions on the Semantic Web. Visual interfaces have to support semantic-based retrieval and at the same time hide the complexity of the underlying reasoning machinery from the user. Analogical and similarity-based reasoning should assist users in browsing and navigating through the rapidly increasing amount of information. Instead of pre-defined conceptualizations of the world, the selection and conceptualization of relevant information has to be tailored to the user's context on-the-fly. This involves work on ontology modularization and context-awareness, but also approaches from ecological psychology such as affordance theory which also plays an increasing role in robotics and AI. During the Dagstuhl Seminar 12221 we discussed the most promising ways to move forward on the vision of bringing findings from cognitive science to the Semantic Web, and to create synergies between the different areas of research. While the seminar focused on the use of cognitive engineering for a user-centric Semantic Web, it also discussed the reverse direction, i.e., how can the Semantic Web work on knowledge representation and reasoning feed back to the cognitive science community.

Cite as

Dedre Gentner, Frank van Harmelen, Pascal Hitzler, Krzysztof Janowicz, and Kai-Uwe Kühnberger. Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221). In Dagstuhl Reports, Volume 2, Issue 5, pp. 93-116, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@Article{gentner_et_al:DagRep.2.5.93,
  author =	{Gentner, Dedre and van Harmelen, Frank and Hitzler, Pascal and Janowicz, Krzysztof and K\"{u}hnberger, Kai-Uwe},
  title =	{{Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)}},
  pages =	{93--116},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{5},
  editor =	{Gentner, Dedre and van Harmelen, Frank and Hitzler, Pascal and Janowicz, Krzysztof and K\"{u}hnberger, Kai-Uwe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.5.93},
  URN =		{urn:nbn:de:0030-drops-37115},
  doi =		{10.4230/DagRep.2.5.93},
  annote =	{Keywords: Cognitive methods, Semantic Web, Analogy and similarity-based reasoning, Semantic heterogeneity and context, Symbol grounding, Emerging semantics, Comonsense reasoning}
}
Document
Perspectives of Neuro--Symbolic Integration – Extended Abstract --

Authors: Kai-Uwe Kühnberger, Helmar Gust, and Peter Geibel

Published in: Dagstuhl Seminar Proceedings, Volume 8041, Recurrent Neural Networks- Models, Capacities, and Applications (2008)


Abstract
There is an obvious tension between symbolic and subsymbolic theories, because both show complementary strengths and weaknesses in corresponding applications and underlying methodologies. The resulting gap in the foundations and the applicability of these approaches is theoretically unsatisfactory and practically undesirable. We sketch a theory that bridges this gap between symbolic and subsymbolic approaches by the introduction of a Topos-based semi-symbolic level used for coding logical first-order expressions in a homogeneous framework. This semi-symbolic level can be used for neural learning of logical first-order theories. Besides a presentation of the general idea of the framework, we sketch some challenges and important open problems for future research with respect to the presented approach and the field of neuro-symbolic integration, in general.

Cite as

Kai-Uwe Kühnberger, Helmar Gust, and Peter Geibel. Perspectives of Neuro--Symbolic Integration – Extended Abstract --. In Recurrent Neural Networks- Models, Capacities, and Applications. Dagstuhl Seminar Proceedings, Volume 8041, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{kuhnberger_et_al:DagSemProc.08041.4,
  author =	{K\"{u}hnberger, Kai-Uwe and Gust, Helmar and Geibel, Peter},
  title =	{{Perspectives of Neuro--Symbolic Integration – Extended Abstract --}},
  booktitle =	{Recurrent Neural Networks- Models, Capacities, and Applications},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8041},
  editor =	{Luc De Raedt and Barbara Hammer and Pascal Hitzler and Wolfgang Maass},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08041.4},
  URN =		{urn:nbn:de:0030-drops-14226},
  doi =		{10.4230/DagSemProc.08041.4},
  annote =	{Keywords: Neuro-Symbolic Integration, Topos Theory, First-Order Logic}
}
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