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DOI: 10.4230/OASIcs.ICLP.2016.2

Theory Solving Made Easy with Clingo 5

Authors: Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Max Ostrowski, Torsten Schaub, and Philipp Wanko

Published in: OASIcs, Volume 52, Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)

Abstract

Answer Set Programming (ASP) is a model, ground, and solve paradigm. The integration of application- or theory-specific reasoning into ASP systems thus impacts on many if not all elements of its workflow, viz. input language, grounding, intermediate language, solving, and output format. We address this challenge with the fifth generation of the ASP system clingo and its grounding and solving components by equipping them with well-defined generic interfaces facilitating the manifold integration efforts. On the grounder's side, we introduce a generic way of specifying language extensions and propose an intermediate format accommodating their ground representation. At the solver end, this is accompanied by high-level interfaces easing the integration of theory propagators dealing with these extensions.

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Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Max Ostrowski, Torsten Schaub, and Philipp Wanko. Theory Solving Made Easy with Clingo 5. In Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016). Open Access Series in Informatics (OASIcs), Volume 52, pp. 2:1-2:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{gebser_et_al:OASIcs.ICLP.2016.2,
  author =	{Gebser, Martin and Kaminski, Roland and Kaufmann, Benjamin and Ostrowski, Max and Schaub, Torsten and Wanko, Philipp},
  title =	{{Theory Solving Made Easy with Clingo 5}},
  booktitle =	{Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)},
  pages =	{2:1--2:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-007-1},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{52},
  editor =	{Carro, Manuel and King, Andy and Saeedloei, Neda and De Vos, Marina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICLP.2016.2},
  URN =		{urn:nbn:de:0030-drops-67337},
  doi =		{10.4230/OASIcs.ICLP.2016.2},
  annote =	{Keywords: Answer Set Programming, Theory Language, Theory Propagation}
}

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DOI: 10.4230/LIPIcs.ICLP.2012.458

ASP modulo CSP: The clingcon system

Authors: Max Ostrowski

Published in: LIPIcs, Volume 17, Technical Communications of the 28th International Conference on Logic Programming (ICLP'12) (2012)

Abstract

Answer Set Programming (ASP) has become a prime paradigm for declarative problem solving due to its combination of an easy yet expressive modeling language with high-performance Boolean constraint solving technology. However, certain applications are more naturally modeled by mixing Boolean with non-Boolean constructs, for instance, accounting for resources, fine timings, or functions over finite domains. The challenge lies in combining the elaborated solving capacities of ASP, like backjumping and conflict-driven learning, with advanced techniques from the area of constraint programming (CP). I therefore developed the solver clingcon, which follows the approach of modern Satisfiability Modulo Theories (SMT). My research shall contribute to bridging the gap between Boolean and Non-Boolean reasoning, in order to bring out the best of both worlds.

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Max Ostrowski. ASP modulo CSP: The clingcon system. In Technical Communications of the 28th International Conference on Logic Programming (ICLP'12). Leibniz International Proceedings in Informatics (LIPIcs), Volume 17, pp. 458-463, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{ostrowski:LIPIcs.ICLP.2012.458,
  author =	{Ostrowski, Max},
  title =	{{ASP modulo CSP: The clingcon system}},
  booktitle =	{Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)},
  pages =	{458--463},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-43-9},
  ISSN =	{1868-8969},
  year =	{2012},
  volume =	{17},
  editor =	{Dovier, Agostino and Santos Costa, V{\'\i}tor},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICLP.2012.458},
  URN =		{urn:nbn:de:0030-drops-36465},
  doi =		{10.4230/LIPIcs.ICLP.2012.458},
  annote =	{Keywords: Answer Set Programming, Constraint Programming}
}

Document

DOI: 10.4230/LIPIcs.ICLP.2011.16

Evolution of Ontologies using ASP

Authors: Max Ostrowski, Giorgos Flouris, Torsten Schaub, and Grigoris Antoniou

Published in: LIPIcs, Volume 11, Technical Communications of the 27th International Conference on Logic Programming (ICLP'11) (2011)

Abstract

RDF/S ontologies are often used in e-science to express domain knowledge regarding the respective field of investigation (e.g., cultural informatics, bioinformatics etc). Such ontologies need to change often to reflect the latest scientific understanding on the domain at hand, and are usually associated with constraints expressed using various declarative formalisms to express domain-specific requirements, such as cardinality or acyclicity constraints. Addressing the evolution of ontologies in the presence of ontological constraints imposes extra difficulties, because it forces us to respect the associated constraints during evolution. While these issues were addressed in previous work, this is the first work to examine how ASP techniques can be applied to model and implement the evolution process. ASP was chosen for its advantages in terms of a principled, rather than ad hoc implementation, its modularity and flexibility, and for being a state-of-the-art technique to tackle hard combinatorial problems. In particular, our approach consists in providing a general translation of the problem into ASP, thereby reducing it to an instance of an ASP program that can be solved by an ASP solver. Our experiments are promising, even for large ontologies, and also show that the scalability of the approach depends on the morphology of the input.

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Max Ostrowski, Giorgos Flouris, Torsten Schaub, and Grigoris Antoniou. Evolution of Ontologies using ASP. In Technical Communications of the 27th International Conference on Logic Programming (ICLP'11). Leibniz International Proceedings in Informatics (LIPIcs), Volume 11, pp. 16-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{ostrowski_et_al:LIPIcs.ICLP.2011.16,
  author =	{Ostrowski, Max and Flouris, Giorgos and Schaub, Torsten and Antoniou, Grigoris},
  title =	{{Evolution of Ontologies using ASP}},
  booktitle =	{Technical Communications of the 27th International Conference on Logic Programming (ICLP'11)},
  pages =	{16--27},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-31-6},
  ISSN =	{1868-8969},
  year =	{2011},
  volume =	{11},
  editor =	{Gallagher, John P. and Gelfond, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICLP.2011.16},
  URN =		{urn:nbn:de:0030-drops-31747},
  doi =		{10.4230/LIPIcs.ICLP.2011.16},
  annote =	{Keywords: Ontology evolution, Evolution in the presence of constraints, incremental ASP application}
}

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Documents authored by Ostrowski, Max

Theory Solving Made Easy with Clingo 5

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ASP modulo CSP: The clingcon system

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Evolution of Ontologies using ASP

Abstract

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