34 Search Results for "Cohn, Anthony G."

Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.37
Understanding the Spatial Complexity in Landscape Narratives Through Qualitative Representation of Space (Short Paper)

Authors: Erum Haris, Anthony G. Cohn, and John G. Stell

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
Narratives are the richest source of information about the human experience of place. They represent events and movement, both physical and conceptual, within time and space. Existing techniques in geographical text analysis usually incorporate named places with coordinate information. This is a serious limitation because many textual references to geography are ambiguous, non-specific, or relative. It is imperative but hard for a geographic information system to capture a text’s sense of place, an imprecise concept. This work aims to utilize qualitative spatial representation and natural language processing to allow representations of all three characteristics of place (location, locale, sense of place) as found in textual sources.
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Erum Haris, Anthony G. Cohn, and John G. Stell. Understanding the Spatial Complexity in Landscape Narratives Through Qualitative Representation of Space (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 37:1-37:6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)

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@InProceedings{haris_et_al:LIPIcs.GIScience.2023.37,
  author =	{Haris, Erum and Cohn, Anthony G. and Stell, John G.},
  title =	{{Understanding the Spatial Complexity in Landscape Narratives Through Qualitative Representation of Space}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{37:1--37:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.37},
  URN =		{urn:nbn:de:0030-drops-189323},
  doi =		{10.4230/LIPIcs.GIScience.2023.37},
  annote =	{Keywords: Narratives, Qualitative spatial representation, Natural language processing}
}
Document
DOI: 10.4230/DagRep.4.2.79
Robots Learning from Experiences (Dagstuhl Seminar 14081)

Authors: Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze

Published in: Dagstuhl Reports, Volume 4, Issue 2 (2014)

Abstract
This report documents the programme and the outcomes of Dagstuhl Seminar 14081 "Robots Learning from Experiences". The report begins with a summary comprising information about the seminar topics, the programme, important discussion points, and conclusions. The main body of the report consists of the abstracts of 25 presentations given at the seminar, and of four reports about discussion groups.
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Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze. Robots Learning from Experiences (Dagstuhl Seminar 14081). In Dagstuhl Reports, Volume 4, Issue 2, pp. 79-109, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)

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@Article{cohn_et_al:DagRep.4.2.79,
  author =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  title =	{{Robots Learning from Experiences (Dagstuhl Seminar 14081)}},
  pages =	{79--109},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{2},
  editor =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.2.79},
  URN =		{urn:nbn:de:0030-drops-45465},
  doi =		{10.4230/DagRep.4.2.79},
  annote =	{Keywords: Learning, experiences, cognitive systems}
}
Document
DOI: 10.4230/DagSemProc.10412.1
10412 Summary and Abstracts Collection – QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning

Authors: Stefan Wölfl, Anthony G. Cohn, Jochen Renz, and Georg Sutcliffe

Published in: Dagstuhl Seminar Proceedings, Volume 10412, QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning (2011)

Abstract
The Dagstuhl seminar "QSTRLib" was planned as a successor event of the previously mentioned AAAI Spring Symposium. The intention for organizing this seminar was to discuss requirements on a problem library in a small group of researchers with expertise in benchmarking, in formal approaches to qualitative reasoning, or in specific application areas of QSTR.
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Stefan Wölfl, Anthony G. Cohn, Jochen Renz, and Georg Sutcliffe. 10412 Summary and Abstracts Collection – QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning. In QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning. Dagstuhl Seminar Proceedings, Volume 10412, pp. 1-20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{wolfl_et_al:DagSemProc.10412.1,
  author =	{W\"{o}lfl, Stefan and Cohn, Anthony G. and Renz, Jochen and Sutcliffe, Georg},
  title =	{{10412 Summary and Abstracts Collection – QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning}},
  booktitle =	{QSTRLib: A Benchmark Problem Repository for Qualitative Spatial and Temporal Reasoning},
  pages =	{1--20},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10412},
  editor =	{Stefan W\"{o}lfl and Anthony G. Cohn and Jochen Renz and Geoff Sutcliffe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10412.1},
  URN =		{urn:nbn:de:0030-drops-31420},
  doi =		{10.4230/DagSemProc.10412.1},
  annote =	{Keywords: Qualitative reasoning, spatial reasoning, temporal reasoning, constraint satisfaction, benchmarking, problem library, problem description language, reasoning systems}
}
Document
DOI: 10.4230/DagSemProc.10131.1
10131 Executive Summary and Abstracts Collection – Spatial Representation and Reasoning in Language: Ontologies and Logics of Space

Authors: John Bateman, Anthony G. Cohn, and James Pustejovsky

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
The goal of this seminar was to bring together researchers from diverse disciplines to address the spatial semantics of natural language, the interface between spatial semantics and geospatial representations, and the role of ontologies in reasoning about spatial concepts in language and thought.
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John Bateman, Anthony G. Cohn, and James Pustejovsky. 10131 Executive Summary and Abstracts Collection – Spatial Representation and Reasoning in Language: Ontologies and Logics of Space. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-14, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{bateman_et_al:DagSemProc.10131.1,
  author =	{Bateman, John and Cohn, Anthony G. and Pustejovsky, James},
  title =	{{10131 Executive Summary and Abstracts Collection – Spatial Representation and Reasoning in Language: Ontologies and Logics of Space}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.1},
  URN =		{urn:nbn:de:0030-drops-29216},
  doi =		{10.4230/DagSemProc.10131.1},
  annote =	{Keywords: Language of space, spatial ontologies, reasoning about space and time, mapping language to GIS}
}
Document
DOI: 10.4230/DagSemProc.10131.2
How can spatial language be learned?

Authors: Kenneth D. Forbus

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
How languages are learned is one of the deepest mysteries of cognitive science. This question can be addressed from multiple perspectives. This position paper considers two of them: (1) How do people learn spatial language? (2) Given the wide range of spatial terms in language, how might we bootstrap the linguistic capabilities of intelligent systems that need spatial language to achieve wide and accurate coverage? We discuss each question in turn.
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Kenneth D. Forbus. How can spatial language be learned?. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{forbus:DagSemProc.10131.2,
  author =	{Forbus, Kenneth D.},
  title =	{{How can spatial language be learned?}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.2},
  URN =		{urn:nbn:de:0030-drops-27336},
  doi =		{10.4230/DagSemProc.10131.2},
  annote =	{Keywords: Sketch understanding, analogy, spatial language, spatial reasoning}
}
Document
DOI: 10.4230/DagSemProc.10131.3
How should depiction be represented and reasoned about?

Authors: Kenneth D. Forbus

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
Interpreting a scene requires understanding how its visual properties and context yield evidence about the spatial and conceptual properties of what it depicts. Depiction is intimately tied to spatial language, since describing a scene linguistically, or imagining a scene described in language, involves connecting linguistic and spatial knowledge. We focus here on scenes described via sketching.
Cite as

Kenneth D. Forbus. How should depiction be represented and reasoned about?. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{forbus:DagSemProc.10131.3,
  author =	{Forbus, Kenneth D.},
  title =	{{How should depiction be represented and reasoned about?}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.3},
  URN =		{urn:nbn:de:0030-drops-27318},
  doi =		{10.4230/DagSemProc.10131.3},
  annote =	{Keywords: Sketch understanding, analogy, spatial language, spatial reasoning}
}
Document
DOI: 10.4230/DagSemProc.10131.4
Interpreting Place Descriptions for Navigation Services

Authors: Yunhui Wu and Stephan Winter

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
We see a need for research bringing spatial intelligence into the fundamental mechanisms of parsing and interpreting place descriptions. An intelligent navigation service will have capabilities to imitate human route communication behavior (Winter and Wu, 2009), thus, at least the capabilities to make sense of place descriptions.
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Yunhui Wu and Stephan Winter. Interpreting Place Descriptions for Navigation Services. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{wu_et_al:DagSemProc.10131.4,
  author =	{Wu, Yunhui and Winter, Stephan},
  title =	{{Interpreting Place Descriptions for Navigation Services}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.4},
  URN =		{urn:nbn:de:0030-drops-27302},
  doi =		{10.4230/DagSemProc.10131.4},
  annote =	{Keywords: Place descriptions, natural language, navigation}
}
Document
DOI: 10.4230/DagSemProc.10131.5
The Creeping Virtuality of Place

Authors: Inderjeet Mani

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
Places are inherently dynamic. They also mediate between entities and events of significance to us, and space. They reflect a network of associations, involving landmarks deemed salient for various reasons. These are all properties assigned to a place by a speaker, and may or may not correspond to the properties assigned to a place by any other speaker. As a result, places have a subjective quality. These properties of dynamicity and subjectivity present interesting challenges when producing mashups that align different data sources. I propose addressing this by assuming that entities, following Hornsby & Egenhofer (2000), have histories, namely sequences of time intervals when they are predicated to exist. Places are entities with spatial properties that include topological relationships to other places, represented in terms of RCC-8 or the 9-intersection calculus, as well as distance and orientation relations. This spatio-temporal integration can avail of existing annotation schemes for space and time in natural language, but it leaves some open issues related to the representation of subjectivity.
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Inderjeet Mani. The Creeping Virtuality of Place. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-5, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{mani:DagSemProc.10131.5,
  author =	{Mani, Inderjeet},
  title =	{{The Creeping Virtuality of Place}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.5},
  URN =		{urn:nbn:de:0030-drops-27326},
  doi =		{10.4230/DagSemProc.10131.5},
  annote =	{Keywords: Place subjectivity dynamicity}
}
Document
DOI: 10.4230/DagSemProc.10131.6
Towards Linguistically-Grounded Spatial Logics

Authors: Joana Hois and Oliver Kutz

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
We propose a method to analyze the amount of coverage and adequacy of spatial calculi by relating a calculus to a linguistic ontology for space by using similarities and linguistic corpus data. This allows evaluating whether and where a spatial calculus can be used for natural language interpretation. It can also lead to 'more appropriate' spatial logics for spatial language.
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Joana Hois and Oliver Kutz. Towards Linguistically-Grounded Spatial Logics. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)

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@InProceedings{hois_et_al:DagSemProc.10131.6,
  author =	{Hois, Joana and Kutz, Oliver},
  title =	{{Towards Linguistically-Grounded Spatial Logics}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.6},
  URN =		{urn:nbn:de:0030-drops-27296},
  doi =		{10.4230/DagSemProc.10131.6},
  annote =	{Keywords: Spatial Logics, Spatial Language}
}
Document
DOI: 10.4230/DagSemProc.08091.1
08091 Abstracts Collection – Logic and Probability for Scene Interpretation

Authors: Bernd Neumann, Anthony C. Cohn, David C. Hogg, and Ralf Möller

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
From 25.2.2008 to Friday 29.2.2008, the Dagstuhl Seminar 08091 ``Logic and Probability for Scene Interpretation'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper.
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Bernd Neumann, Anthony C. Cohn, David C. Hogg, and Ralf Möller. 08091 Abstracts Collection – Logic and Probability for Scene Interpretation. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-17, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{neumann_et_al:DagSemProc.08091.1,
  author =	{Neumann, Bernd and Cohn, Anthony C. and Hogg, David C. and M\"{o}ller, Ralf},
  title =	{{08091 Abstracts Collection – Logic and Probability for Scene Interpretation}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.1},
  URN =		{urn:nbn:de:0030-drops-16480},
  doi =		{10.4230/DagSemProc.08091.1},
  annote =	{Keywords: Logic, probabilities, scene interpretation}
}
Document
DOI: 10.4230/DagSemProc.08091.4
Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances

Authors: Aaron Sloman

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
This paper, combining the standpoints of philosophy and Artificial Intelligence with theoretical psychology, summarises several decades of investigation by the author of the variety of functions of vision in humans and other animals, pointing out that biological evolution has solved many more problems than are normally noticed. For example, the biological functions of human and animal vision are closely related to the ability of humans to do mathematics, including discovering and proving theorems in geometry, topology and arithmetic. Many of the phenomena discovered by psychologists and neuroscientists require sophisticated controlled laboratory settings and specialised measuring equipment, whereas the functions of vision reported here mostly require only careful attention to a wide range of everyday competences that easily go unnoticed. Currently available computer models and neural theories are very far from explaining those functions, so progress in explaining how vision works is more in need of new proposals for explanatory mechanisms than new laboratory data. Systematically formulating the requirements for such mechanisms is not easy. If we start by analysing familiar competences, that can suggest new experiments to clarify precise forms of these competences, how they develop within individuals, which other species have them, and how performance varies according to conditions. This will help to constrain requirements for models purporting to explain how the competences work. For example, Gibson’s theory of affordances needs a number of extensions, including allowing affordances to be composed in several ways from lower level proto-affordances. The paper ends with speculations regarding the need for new kinds of information-processing machinery to account for the phenomena.
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Aaron Sloman. Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-57, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{sloman:DagSemProc.08091.4,
  author =	{Sloman, Aaron},
  title =	{{Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--57},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.4},
  URN =		{urn:nbn:de:0030-drops-16569},
  doi =		{10.4230/DagSemProc.08091.4},
  annote =	{Keywords: Vision, affordances, architectures, development, design space}
}
Document
DOI: 10.4230/DagSemProc.08091.2
Abstraction, ontology and task-guidance for visual perception in robots

Authors: Matthias Schlemmer and Markus Vincze

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
For solving recognition tasks in order to navigate in unknown environments and to manipulate objects, humans seem to use at least the following crucial capabilities: abstraction (for storing higher-level concepts of things), common sense knowledge and prediction. Whereas the first and second provide the basis for situated recognition, the second and third serve for pruning the search space as it helps anticipating what (in an abstract sense) they will see next and where. The main goal of our current research is, how we could use such a kind of "common sense world knowledge" for guiding visual perception and understanding scenes. Therefore, we are combining an owl-ontology with the output of vision tools. The additional use of abstraction techniques tries to establish the possibility of detecting higher level concepts, such as arches composed of a variable number of parts. The goal is to finally find concepts such as doors and tables in arbitrary scenes in order to arrive at a generic recognition tool for home robots. The ontology should additionally provide task-specific information about the things to detect.
Cite as

Matthias Schlemmer and Markus Vincze. Abstraction, ontology and task-guidance for visual perception in robots. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-12, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{schlemmer_et_al:DagSemProc.08091.2,
  author =	{Schlemmer, Matthias and Vincze, Markus},
  title =	{{Abstraction, ontology and task-guidance for visual perception in robots}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.2},
  URN =		{urn:nbn:de:0030-drops-16081},
  doi =		{10.4230/DagSemProc.08091.2},
  annote =	{Keywords: Abstraction, ontology, task, vision}
}
Document
DOI: 10.4230/DagSemProc.08091.3
Approximate OWL Instance Retrieval with SCREECH

Authors: Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, and Tuvshintur Tserendorj

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
With the increasing interest in expressive ontologies for the Semantic Web, it is critical to develop scalable and efficient ontology reasoning techniques that can properly cope with very high data volumes. For certain application domains, approximate reasoning solutions, which trade soundness or completeness for increased reasoning speed, will help to deal with the high computational complexities which state of the art ontology reasoning tools have to face. In this paper, we present a comprehensive overview of the SCREECH approach to approximate instance retrieval with OWL ontologies, which is based on the KAON2 algorithms, facilitating a compilation of OWL DL TBoxes into Datalog, which is tractable in terms of data complexity. We present three different instantiations of the Screech approach, and report on experiments which show that the gain in efficiency outweighs the number of introduced mistakes in the reasoning process.
Cite as

Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, and Tuvshintur Tserendorj. Approximate OWL Instance Retrieval with SCREECH. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-8, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{hitzler_et_al:DagSemProc.08091.3,
  author =	{Hitzler, Pascal and Kr\"{o}tzsch, Markus and Rudolph, Sebastian and Tserendorj, Tuvshintur},
  title =	{{Approximate OWL Instance Retrieval with SCREECH}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.3},
  URN =		{urn:nbn:de:0030-drops-16157},
  doi =		{10.4230/DagSemProc.08091.3},
  annote =	{Keywords: Description logics, automated reasoning, approximate reasoning, Horn logic}
}
Document
DOI: 10.4230/DagSemProc.08091.5
Assimilating knowledge from neuroimages in schizophrenia diagnostics

Authors: Paulo Santos, Carlos Thomaz, Luiz Celiberto, Fabio Duran, Wagner Gattaz, and Geraldo Busatto

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
The aim of this article is to propose an integrated framework for classifying and describing patterns of disorders from medical images using a combination of image registration, linear discriminant analysis and region-based ontologies. In a first stage of this endeavour we are going to study and evaluate multivariate statistical methodologies to identify the most discriminating hyperplane separating two populations contained in the input data. This step has, as its major goal, the analysis of all the data simultaneously rather than feature by feature. The second stage of this work includes the development of an ontology whose aim is the assimilation and exploration of the knowledge contained in the results of the previous statistical methods. Automated knowledge discovery from images is the key motivation for the methods to be investigated in this research. We argue that such investigation provides a suitable framework for characterising the high complexity of MR images in schizophrenia.
Cite as

Paulo Santos, Carlos Thomaz, Luiz Celiberto, Fabio Duran, Wagner Gattaz, and Geraldo Busatto. Assimilating knowledge from neuroimages in schizophrenia diagnostics. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-25, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{santos_et_al:DagSemProc.08091.5,
  author =	{Santos, Paulo and Thomaz, Carlos and Celiberto, Luiz and Duran, Fabio and Gattaz, Wagner and Busatto, Geraldo},
  title =	{{Assimilating knowledge from neuroimages in schizophrenia diagnostics}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.5},
  URN =		{urn:nbn:de:0030-drops-16078},
  doi =		{10.4230/DagSemProc.08091.5},
  annote =	{Keywords: Statistical classification, spatial ontologies}
}
Document
DOI: 10.4230/DagSemProc.08091.6
Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation

Authors: Bernd Neumann

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
In high-level vision, it is often useful to organize conceptual models in compositional hierarchies. For example, models of building facades (which are used here as examples) can be described in terms of constituent parts such as balconies or window arrays which in turn may be further decomposed. While compositional hierarchies are widely used in scene interpretation, it is not clear how to model and exploit probabilistic dependencies which may exist within and between aggregates. In this contribution I present Bayesian Aggregate Hierarchies as a means to capture probabilistic dependencies in a compositional hierarchy. The formalism integrates well with object-centered representations and extends Bayesian Networks by allowing arbitrary probabilistic dependencies within aggregates. To obtain efficient inference procedures, the aggregate structure must possess abstraction properties which ensure that internal aggregate properties are only affected in accordance with the hierarchical structure. Using examples from the building domain, it is shown that probabilistic aggregate information can thus be integrated into a logic-based scene interpretation system and provide a preference measure for interpretation steps.
Cite as

Bernd Neumann. Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)

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@InProceedings{neumann:DagSemProc.08091.6,
  author =	{Neumann, Bernd},
  title =	{{Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.6},
  URN =		{urn:nbn:de:0030-drops-16050},
  doi =		{10.4230/DagSemProc.08091.6},
  annote =	{Keywords: Scene interpretation, compositional hierarchy, probabilistic inference}
}
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