MediaWiki-API-Ergebnis

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        "gapcontinue": "Real-World_Challenges_in_Data_Science_und_Analytics",
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                "pageid": 3074,
                "ns": 0,
                "title": "ReaSem",
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                        "*": "{{Projekt\n|Kurzname=ReaSem\n|Name=Practical Reasoning Support for Semantic Technologies\n|Name EN=Practical Reasoning Support for Semantic Technologies\n|Beschreibung DE=Semantische Technologien bestehen aus Methoden und Tools f\u00fcr das Management und die Repr\u00e4sentation von Wissen, sowie das automatisierte logische Schlie\u00dfen dar\u00fcber. Ihre Entstehung ist haupts\u00e4chlich durch die aktuelle Forschung zum entstehenden Semantic Web motiviert, sie verbreiten sich jedoch in j\u00fcngster Zeit auch in angrenzenden Forschungsgebeiten wie dem Grid Computing, dem Wissensmanagement, der Ambient Intelligence und der kognitiven Systeme. Neue Forschungsergebnisse unserer Gruppe f\u00fchrten zur Entwicklung von effizienten und skalierbaren Deduktionsalgorithmen \u00fcber Ontologien, die in der Basisontologiesprache OWL ausgedr\u00fcckt werden. Um Anforderungen der Praxis zu gen\u00fcgen ist es notwendig, die Ausdrucksm\u00e4chtigkeit der Sprache OWL zu erweitern, z.B. durch Hinzuf\u00fcgung automatisierter Deduktionsverfahren, die nichtmonotone Aspekte, Schlie\u00dfen mit Inkonsistenzen, unsicheres Wissen und heterogene Datenquellen unterst\u00fctzen. In diesem Projekt untersuchen wir, wie solche Erweiterungen theoretisch und methodisch sauber erzielt werden k\u00f6nnen.\n|Beschreibung EN=Semantic Technologies are methods and tools for knowledge management, representation, and reasoning, based on ontologies and logic. Their development is mainly motivated by the advent of the Semantic Web, which is one of the main application areas of these technologies. The technology is currently spreading into adjacent areas of research including grid computing, knowledge management, ambient intelligence, and cognitive systems. Recent work done within our group led to the development of efficient and scalable deduction algorithms for basic ontologies expressed in the W3C standard OWL. The algorithms perform better than other existing algorithms and their implementation in a prototype reasoning system called KAON2 is nearly completed. In order to be applicable to practical cases, however, OWL has to be extended with expressive features including nonmonotonic reasoning, reasoning with uncertainty and inconsistencies, and simultaneous support of heterogeneous knowledge bases. In this project, we will study how such extensions can be achieved in a methodologically sound way. We will extend our algorithms in accord with the theoretical extensions achieved. We will furthermore extend KAON2 for applicability to real applications.\n|Kontaktperson=Sebastian Rudolph\n|Start=2006/09/01\n|Ende=2009/11/30\n|Finanziert von=DFG\n|Projektstatus=abgeschlossen\n|Person=Sebastian Rudolph, Markus Kr\u00f6tzsch\n|Forschungsgruppe=Wissensmanagement\n|Forschungsgebiet=K\u00fcnstliche Intelligenz, Semantic Web, Logik,\n}}"
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                        "*": "{{Projekt/en}}"
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