12 Search Results for "van Harmelen, Frank"


Document
Vision
Knowledge Engineering Using Large Language Models

Authors: Bradley P. Allen, Lise Stork, and Paul Groth

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 1


Abstract
Knowledge engineering is a discipline that focuses on the creation and maintenance of processes that generate and apply knowledge. Traditionally, knowledge engineering approaches have focused on knowledge expressed in formal languages. The emergence of large language models and their capabilities to effectively work with natural language, in its broadest sense, raises questions about the foundations and practice of knowledge engineering. Here, we outline the potential role of LLMs in knowledge engineering, identifying two central directions: 1) creating hybrid neuro-symbolic knowledge systems; and 2) enabling knowledge engineering in natural language. Additionally, we formulate key open research questions to tackle these directions.

Cite as

Bradley P. Allen, Lise Stork, and Paul Groth. Knowledge Engineering Using Large Language Models. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 3:1-3:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{allen_et_al:TGDK.1.1.3,
  author =	{Allen, Bradley P. and Stork, Lise and Groth, Paul},
  title =	{{Knowledge Engineering Using Large Language Models}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{3:1--3:19},
  ISSN =	{2942-7517},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/TGDK.1.1.3},
  URN =		{urn:nbn:de:0030-drops-194777},
  doi =		{10.4230/TGDK.1.1.3},
  annote =	{Keywords: knowledge engineering, large language models}
}
Document
Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262)

Authors: Wendy E. Mackay, John Shawe-Taylor, and Frank van Harmelen

Published in: Dagstuhl Reports, Volume 12, Issue 6 (2023)


Abstract
This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 22262 "Human-Centered Artificial Intelligence". The goal of this Dagstuhl Perspectives Workshops is to provide the scientific and technological foundations for designing and deploying hybrid human-centered AI systems that work in partnership with human beings and that enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems. Specific challenges include: learning complex world models; building effective and explainable machine learning systems; developing human-controllable intelligent systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

Cite as

Wendy E. Mackay, John Shawe-Taylor, and Frank van Harmelen. Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262). In Dagstuhl Reports, Volume 12, Issue 6, pp. 112-117, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{mackay_et_al:DagRep.12.6.112,
  author =	{Mackay, Wendy E. and Shawe-Taylor, John and van Harmelen, Frank},
  title =	{{Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262)}},
  pages =	{112--117},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{6},
  editor =	{Mackay, Wendy E. and Shawe-Taylor, John and van Harmelen, Frank},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.6.112},
  URN =		{urn:nbn:de:0030-drops-174579},
  doi =		{10.4230/DagRep.12.6.112},
  annote =	{Keywords: Human-centered Artificial Intelligence, Human-Computer Interaction, Hybrid Intelligence}
}
Document
Structure and Learning (Dagstuhl Seminar 21362)

Authors: Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, and Frank van Harmelen

Published in: Dagstuhl Reports, Volume 11, Issue 8 (2022)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 21362 "Structure and Learning", held from September 5 to 10, 2021. Structure and learning are among the most prominent topics in Artificial Intelligence (AI) today. Integrating symbolic and numeric inference was set as one of the next open AI problems at the Townhall meeting "A 20 Year Roadmap for AI" at AAAI 2019. In this Dagstuhl seminar, we discussed related problems from an interdiscplinary perspective, in particular, Cognitive Science, Cognitive Psychology, Physics, Computational Humor, Linguistic, Machine Learning, and AI. This report overviews presentations and working groups during the seminar, and lists two open problems.

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Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, and Frank van Harmelen. Structure and Learning (Dagstuhl Seminar 21362). In Dagstuhl Reports, Volume 11, Issue 8, pp. 11-34, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@Article{dong_et_al:DagRep.11.8.11,
  author =	{Dong, Tiansi and Rettinger, Achim and Tang, Jie and Tversky, Barbara and van Harmelen, Frank},
  title =	{{Structure and Learning (Dagstuhl Seminar 21362)}},
  pages =	{11--34},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{8},
  editor =	{Dong, Tiansi and Rettinger, Achim and Tang, Jie and Tversky, Barbara and van Harmelen, Frank},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.8.11},
  URN =		{urn:nbn:de:0030-drops-157670},
  doi =		{10.4230/DagRep.11.8.11},
  annote =	{Keywords: Knowledge graph, Machine learning, Neural-symbol unification}
}
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-dev.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
Towards Expressive Stream Reasoning

Authors: Heiner Stuckenschmidt, Stefano Ceri, Emanuele Della Valle, and Frank van Harmelen

Published in: Dagstuhl Seminar Proceedings, Volume 10042, Semantic Challenges in Sensor Networks (2010)


Abstract
Stream Data processing has become a popular topic in database research addressing the challenge of efficiently answering queries over continuous data streams. Meanwhile data streams have become more and more important as a basis for higher level decision processes that require complex reasoning over data streams and rich background knowledge. In previous work the foundation for complex reasoning over streams and background knowledge was laid by introducing technologies for wrapping and querying streams in the RDF data format and by supporting simple forms of reasoning in terms of incremental view maintenance. In this paper, we discuss how this existing technologies should be extended toward richer forms of reasoning using Sensor Networks as a motivating example.

Cite as

Heiner Stuckenschmidt, Stefano Ceri, Emanuele Della Valle, and Frank van Harmelen. Towards Expressive Stream Reasoning. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)


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@InProceedings{stuckenschmidt_et_al:DagSemProc.10042.4,
  author =	{Stuckenschmidt, Heiner and Ceri, Stefano and Della Valle, Emanuele and van Harmelen, Frank},
  title =	{{Towards Expressive Stream Reasoning}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.4},
  URN =		{urn:nbn:de:0030-drops-25555},
  doi =		{10.4230/DagSemProc.10042.4},
  annote =	{Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks}
}
Document
09161 Abstracts Collection – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
From 13.04. to 17.04.2009, the Dagstuhl Seminar 09161 ``Generalization of spatial information '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. 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. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Abstracts Collection – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{mustiere_et_al:DagSemProc.09161.1,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Abstracts Collection – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.1},
  URN =		{urn:nbn:de:0030-drops-21506},
  doi =		{10.4230/DagSemProc.09161.1},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
Document
09161 Summary – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
From the early start of handling geo-information in a digital environments, it has been attempted to automate the process of generalization of geographic information. Traditionally for the production of different map scale series, but more and more also in other contexts, such as the desktop/web /mobile use of geo-information, in order to allow to process, handle and understand possibly huge masses of data. Generalization is the process responsible for generating visualizations or geographic databases at coarser levels-of-detail than the original source database, while retaining essential characteristics of the underlying geographic information.

Cite as

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Summary – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{mustiere_et_al:DagSemProc.09161.2,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Summary – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--20},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.2},
  URN =		{urn:nbn:de:0030-drops-21397},
  doi =		{10.4230/DagSemProc.09161.2},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
Document
Applying DLM and DCM concepts in a multi-scale environment

Authors: Peter van Oosterom and Martijn Meijers

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
Although the separation between Digital Landscape Model (DLM) and Digital Cartographic Model (DCM) is considered as state of the art, data producers, like national mapping agencies, still wrestle with the question what to store explicitly in order to efficiently maintain their geographic databases and maps. In this discussion/presentation we will try to show that explicit storage of both models, up to the data instance level, leads to more redundancy in multi-scale data models and makes it more difficult to manage geographic databases. To streamline the process of data production for both analysis and map making purposes, we propose to maintain only the data instances of the DLM, including minor ‘distortions’ to apply visualization rules easier, and to investigate variable scale data storage.

Cite as

Peter van Oosterom and Martijn Meijers. Applying DLM and DCM concepts in a multi-scale environment. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{vanoosterom_et_al:DagSemProc.09161.3,
  author =	{van Oosterom, Peter and Meijers, Martijn},
  title =	{{Applying DLM and DCM concepts in a multi-scale environment}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.3},
  URN =		{urn:nbn:de:0030-drops-21353},
  doi =		{10.4230/DagSemProc.09161.3},
  annote =	{Keywords: DCM (Digital Cartographic Model), DLM (Digital Landscape Model), multi-scale, vario-scale, data management}
}
Document
Cartographic and semantic aspects on web services

Authors: Lars Harrie and Heiner Stuckenschmidt

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
Several countries are currently working on setting up geoportals as part of their national spatial data infrastructure (SDI) (and this is also a requirement of the Inspire initiative). A key ability of these geoportals is that the user should be able to view (and download) data from several sources from one access point. This will certainly make the access to geospatial data easier. However, there are also cartographic and semantic challenges that have to be solved. In this discussion group we discussed some topics concerning both download services and view services and some possible solutions.

Cite as

Lars Harrie and Heiner Stuckenschmidt. Cartographic and semantic aspects on web services. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{harrie_et_al:DagSemProc.09161.4,
  author =	{Harrie, Lars and Stuckenschmidt, Heiner},
  title =	{{Cartographic and semantic aspects on web services}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.4},
  URN =		{urn:nbn:de:0030-drops-21345},
  doi =		{10.4230/DagSemProc.09161.4},
  annote =	{Keywords: Geopertals, integration, semantic technologies}
}
Document
Methods to Measure Map Readability

Authors: Lars Harrie

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
Creation of maps in real-time web services introduces challenges concerning map readability. Therefore we must introduce analytical measures controlling the readability. The aim of this study is to develop and evaluate analytical readability measures with the help of user tests.

Cite as

Lars Harrie. Methods to Measure Map Readability. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{harrie:DagSemProc.09161.5,
  author =	{Harrie, Lars},
  title =	{{Methods to Measure Map Readability}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.5},
  URN =		{urn:nbn:de:0030-drops-21373},
  doi =		{10.4230/DagSemProc.09161.5},
  annote =	{Keywords: Map readability, generalization, web map services}
}
Document
Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges

Authors: Heiner Stuckenschmidt

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
The goal of semantic web research is to turn the World-Wide Web into a Web of Data that can be processed automatically to a much larger extend than possible with traditional web technology. Important features of the solution currently being developed is the ability to link data from from different sources and to provide formal definitions of the intended meaning of the terminology used in different sources as a basis for deriving implicit information and for conflict detection. Both requires the ability to reason about the definition of terms. With the development of OWL as the standard language for representing terminological knowledge, reasoning in description logics has been determined as the major technique for performing this reasoning cite{OWLreasoning}. More recently, rule languages have gained more importance as well as they have been shown to be more suited for efficient reasoning about terminology and data at the same time. So far little attention has been paid to the problem of representing and reasoning about space and time on the semantic web. In particular, existing semantic web languages are not well suited for representing these aspects as they require to operate over metric spaces that behave fundamentally different from the abstract interpretation domains description logics are based on. Nevertheless, there is a strong need to integrate reasoning about space and time into existing semantic web technologies especially because more and more data available on the web has a references to space and time. Images taken by digital cameras are a good example of such data as they come with a time stamp and geographic coordinates. In this paper, we concentrate on spatial aspects and discuss different use case for reasoning about spatial aspects on the (semantic) web and possible technological solutions for these use cases. Based on these discussions we conclude that the actual open problem is not existing technologies for terminological or spatial reasoning, but the lack of an established mechanism for combining the two.

Cite as

Heiner Stuckenschmidt. Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{stuckenschmidt:DagSemProc.09161.6,
  author =	{Stuckenschmidt, Heiner},
  title =	{{Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.6},
  URN =		{urn:nbn:de:0030-drops-21386},
  doi =		{10.4230/DagSemProc.09161.6},
  annote =	{Keywords: Semantic Web, Spatial reasoning}
}
Document
Why Is Cartographic Generalization So Hard?

Authors: Andrew U. Frank

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)


Abstract
I remember first presentations about cartographic generalizations (Spiess 1971), where tools for generalization were shown, but the conclusions stated, more or less clearly, that fully automated cartographic generalization was not possible. There has been an impressive stream of research documenting methods to generalize maps. The consensus today seems to be that automated tools under control of a cartographer are the most effective means (Buttenfield et al. 1991; Weibel 1995). In this contribution some fundamental aspects of map making, including generalizations are analyzed. Map generalization is studied by most map producers, especially the National Mapping Agencies, because they have to maintain maps at different scale and it appears economical to derive a map at smaller from a map of a larger scale by an automated process. Equally important is the production of maps at arbitrary scales for the illustration of web pages. These tasks are the backdrop for the following abstract analysis.

Cite as

Andrew U. Frank. Why Is Cartographic Generalization So Hard?. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{frank:DagSemProc.09161.7,
  author =	{Frank, Andrew U.},
  title =	{{Why Is Cartographic Generalization So Hard?}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.7},
  URN =		{urn:nbn:de:0030-drops-21363},
  doi =		{10.4230/DagSemProc.09161.7},
  annote =	{Keywords: Cartographic Generalization, AI-Hard, NP-Hard}
}
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