Knowledge Acquisition in Conceptual Ontological Artificial Intelligence System

Krótkiewicz, Marek; Wojtkiewicz, Krystian

doi:10.1007/978-3-642-03202-8_3

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…This operation is called segmentation. Due to the nature of the morphological analysis method [1,2] planned to be applied, the image will be binarised, i.e. transformed from a colour image into a binary one.…”

Section: Test Methodologymentioning

confidence: 99%

“…After segmentation by simple methods available in APR, it is possible to remove all pixels except those with specific component values, and then binarisation will be performed. Thus processed image constitutes an input to the morphological analysis procedure [1,2]. In the first stage of distortion analysis, however, the focus was on verifying the shares of particular types of identified classes in the sample images.…”

Section: Test Methodologymentioning

confidence: 99%

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The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage

Szwedziak

2019

E3S Web Conf.

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The paper presents an innovative method based on vision techniques for rapid assessment of contamination in the mass of stored maize grain. The research was carried out in a selected grain warehouse in the Opolskie Province. Maize grain was used in the studies, which was subjected to tests based on computer image analysis. To assess the state of maize grain contamination, a proprietary computer application based on the RGB model was used., 0

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Section: Test Methodologymentioning

confidence: 99%

Section: Test Methodologymentioning

confidence: 99%

The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage

Szwedziak

2019

E3S Web Conf.

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“…19, namely the ontological core, which is the central element of the system. 30,35,36 It is used to store knowledge regarding concepts and basic information about them. In the very center, there is the abstract CONCEPT collection, which is the base class for speci¯c objects of the following types: CLASS, INSTANCE, FEATURE, RELATIONSHIP, SET, VALUE, VALUSPEC and UNIT.…”

Section: Ontological Core Module Modelmentioning

confidence: 99%

Formal Definition and Modeling Language of Association-Oriented Database Metamodel (AssoBase)

Krótkiewicz

2019

Vietnam J. Comp. Sci.

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The paper provides a concise discussion of the most important theoretical aspects of the Association-Oriented Database (AODB) Metamodel. Even though the model has been practically verified, the author has focused on its formal aspects and modeling language. The AODB Metamodel has been developed for the purposes of building the knowledge representation systems. Basically, such systems are structurally and functionally complex, hence they require advanced solutions to be applied for the purpose of data modeling. The modeling language enables designing database structures in the AODB Metamodel, taking into account various features of this database metamodel. The language in question is fully integrated and compatible with AODB Metamodel. It has been developed for the purposes of this metamodel, it operates with categories specific to it and, as such, it constitutes neither a version nor an extension of any of the existing languages. The second part of the paper provides the definition and discussion concerning the graphical modeling language — Association-Oriented Modeling Language (AML). The last section of the paper introduces the case-study that presents the key features of the metamodel, as well as the use of modeling language. The topics of presented examples comprise a simplified model of degree programs for universities and the model of Ontological Core, the main module of Semantic Knowledge Base (SKB).

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“…Semantic Knowledge Base (SKB) (Krótkiewicz and Wojtkiewicz 2005, 2009, 2013a is a system designated to store information. It is designed in a way to ensure these two previously mentioned interfaces, namely information-language and informationlogic.…”

Section: Semantic Knowledge Basementioning

confidence: 99%

Functional and Structural Integration without Competence Overstepping in Structured Semantic Knowledge Base System

Krótkiewicz

Wojtkiewicz

2014

J of Log Lang and Inf

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Logic, language and information integration is one of areas broadly explored nowadays and at the same time promising. Authors use that approach in their 8 years long research into Structured Semantic Knowledge Base System. The aim of this paper is to present authors idea of system capable of generating synergy effect while storing various type of information. The key assumption, which has been adopted, is the thesis that the attempt to find universal way of the reality description is very inefficient solution. Combination of several solutions into one system must be based on the principle of supporting rather than on redundancy, ambiguity or mutual antagonism areas of logic, language and information. Natural language processing in the context of logics or information processing is ineffective, not to say pointless in the means of certainty. It is simply caused by the fact that natural languages have been formed long time ago as the main communication channel, rather than for automatic information processing. It was one of the reasons that logic has been founded as the universal language of mathematics and formalized communication in more extensive sense. Information processing however brought more sophisticated problems that mathematics could not smoothly solve, what made computer science appear. Studies over artificial intelligence revealed even more complex issues to solve. The unity of those three areas: logics, language and information is a necessity to acquire complementarity and synergy.

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Knowledge Acquisition in Conceptual Ontological Artificial Intelligence System

Cited by 6 publications

References 2 publications

The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage

The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage

Formal Definition and Modeling Language of Association-Oriented Database Metamodel (AssoBase)

Functional and Structural Integration without Competence Overstepping in Structured Semantic Knowledge Base System

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