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Conceptual Structures As a Tool for Knowledge Representation
Ferbarová, Gabriela ; Ivánek, Jiří (advisor) ; Souček, Martin (referee)
(in English): Conceptual graphs are a formal knowledge representation language introduced by John F. Sowa, an American specialist on Artificial Intelligence, at the end of the seventies. They are the synthesis of heuristic and formalistic approach to Artificial Intelligence and knowledge procession. They provide meaning and knowledge in form, which is logically precise, human- readable and untestable, and it is applicable in the computing domain in general. Conceptual graphs can be expressed through a first-order logic, which makes them a quality tool for intelligent reasoning. Their notation CGIF was standardised by norm ISO/IEC 24707:2007 as one of the three dialects of Common logic, which frames the set of logic based on logic. Conceptual graphs are also mappable to knowledge representation languages standardised for the Semantic Web; OWL and RDF (S). This work introduces the conceptual graph theory in the context of scientific fields like linguistics, logic and artificial intelligence. It represents the formalism proposed by John F. Sowa and some extensions that have emerged over the past decades, along with the need for improvements to the representational properties of graphs. Finally, the work provides an illustrative overview of the implementation and use of conceptual graphs in practice....
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Conceptual Structures As a Tool for Knowledge Representation
Ferbarová, Gabriela ; Ivánek, Jiří (advisor) ; Souček, Martin (referee)
(in English): Conceptual graphs are a formal knowledge representation language introduced by John F. Sowa, an American specialist on Artificial Intelligence, at the end of the seventies. They are the synthesis of heuristic and formalistic approach to Artificial Intelligence and knowledge procession. They provide meaning and knowledge in form, which is logically precise, human- readable and untestable, and it is applicable in the computing domain in general. Conceptual graphs can be expressed through a first-order logic, which makes them a quality tool for intelligent reasoning. Their notation CGIF was standardised by norm ISO/IEC 24707:2007 as one of the three dialects of Common logic, which frames the set of logic based on logic. Conceptual graphs are also mappable to knowledge representation languages standardised for the Semantic Web; OWL and RDF (S). This work introduces the conceptual graph theory in the context of scientific fields like linguistics, logic and artificial intelligence. It represents the formalism proposed by John F. Sowa and some extensions that have emerged over the past decades, along with the need for improvements to the representational properties of graphs. Finally, the work provides an illustrative overview of the implementation and use of conceptual graphs in practice....
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Modelování podnikových procesů
Panuška, Martin ; Řepa, Václav (advisor) ; Svatoš, Oleg (referee)
In the master's thesis we are concerned with the logical perspective on business process model-ing. The logical perspective on business process modeling has several advantages. First, being a formal logical system, first-order logic let us thoroughly understand the foundations of process modeling. Second, after we understand the logical foundations of business process modeling, we are free to build a BPM language based entirely on logic, or map an existing language onto logic, which may be useful for artificial reasoning. Third, if the business process model is mapped to logic (or another declarative language) it can be easily stored in a declarative knowledge base. Forth, logic based process models can be used in companies as a basis for knowledge manage-ment. And fifth, the science of logic offers a number of various semantic enhancements, which can be used in favor of better business process modeling expressiveness. The first objective of the thesis is to perform a thorough review of the literature of both our fields -- the business process modeling and temporal logic. The related second objective is to study the ability of logic to represent processes and the notion of time in general, and to offer techniques for logical process representation. Subsequently, the examples should be provided in order to present that the selected techniques are capable of performing what is sketched in the first paragraph. The third objective is to propose improvements of the current business process modeling approach and provide relevant examples. Eventually, means of extending the tech-niques presented can be proposed, too. The major contribution of the thesis is that it constitutes a reasonable basis for further research in the chosen field. For novices or even experienced in the subject it represents a good stepping stone.
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