Cognitum Ontorion: Knowledge Representation and Reasoning System - Publikacja - MOST Wiedzy

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Cognitum Ontorion: Knowledge Representation and Reasoning System

Abstrakt

At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference knowledge. Next, we briefly discuss models and methodology of agent-oriented system analysis and design. In the third section, the semantic knowledge management framework of the system is reviewed. Finally, we recapitulate by discussing the usability of Ontorion based on a case study, in which an instance of software process simulation modelling environment is executed and further discussed. In the last section, we provide future work directions and put forward final conclusions.

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Paweł Kapłański, Paweł Weichbroth. (2017). Cognitum Ontorion: Knowledge Representation and Reasoning System, (658), 27-43. https://doi.org/10.1007/978-3-319-47208-9_3

Informacje szczegółowe

Kategoria:
Publikacja monograficzna
Typ:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Tytuł wydania:
Advances in Business ICT: New Ideas from Ongoing Research strony 27 - 43
Język:
angielski
Rok wydania:
2017
Opis bibliograficzny:
Kapłański P., Weichbroth P.: Cognitum Ontorion: Knowledge Representation and Reasoning System// Advances in Business ICT: New Ideas from Ongoing Research/ : Springer International Publishing, 2017, s.27-43

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