Wyniki wyszukiwania - BazTech

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Reprezentacja wiedzy dziedzinowej działu serwisowego przy zastosowaniu OWL

Dudek A.

Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej

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2017

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Nr 11

29--40

PL

W artykule dokonano przeglądu literaturowego formalnych metod reprezentacji wiedzy w postaci ontologii ze szczególnym uwzględnieniem standardów RDF oraz OWL. Wskazano następnie obszar wiedzy dziedzinowej z zakresu prawidłowo realizowanych procedur serwisowych. Zaproponowano również sposób reprezentacji tej wiedzy jako szeregów kroków, opisywanych przez obsługiwane podzespoły, wykorzystane do tego narzędzia, elementy łączące i mocujące czy też materiały eksploatacyjne. Bazując na tych założeniach zaproponowano budowę ontologii przy wykorzystaniu języka OWL, wykorzystując w tym celu środowisko Protégé.

EN

This article reviews literature on formal knowledge representation methods using ontologies and focus on RDF and OWL standards. Then indicated the area of domain knowledge in the range of correctly performed service procedures. It was proposed to represent this knowledge as a series of steps. These steps are described by the supported components, the tools which are used, connecting elements and consumables. Based on these assumptions, it was proposed to build ontology using OWL using the Protégé environment.

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Logical Aspects of Dealing with Domain Knowledge in Data Mining with Association Rules

Rauch J.

Fundamenta Informaticae

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2016

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Vol. 148, nr 1/2

1--33

EN

Association rules are introduced as general relations of two general Boolean attributes derived from columns of an analysed data matrix. Expressive power of such association rules makes possible to use various items of domain knowledge in data mining. Each particular item of domain knowledge is mapped to a set of simple association rules. Simple association rules together with their logical consequences are understood as a set of consequences of a given item of domain knowledge. Such sets of consequences are used when interpreting results of a data mining procedure. Logical deduction plays a crucial role in this approach. New results on related deduction rules are presented.

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Formal Framework for Data Mining with Association Rules and Domain Knowledge : Overview of an Approach

Rauch J.

Fundamenta Informaticae

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2015

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Vol. 137, nr 2

171--217

EN

A formal framework for data mining with association rules is introduced. The framework is based on a logical calculus of association rules which is enhanced by several formal tools. The enhancement allows the description of the whole data mining process, including formulation of analytical questions, application of an analytical procedure and interpretation of its results. The role of formalized domain knowledge is discussed.

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Using Domain Knowledge in Initial Stages of KDD : Optimization of Compound Object Processing

Szczuka M., Sosnowski Ł., Krasuski A., Kreński K.

Fundamenta Informaticae

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2014

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Vol. 129, nr 4

341--364

EN

We present a set of guidelines for improving quality and efficiency in initial steps of the KDD process by utilizing various kinds of domain knowledge. We discuss how such knowledge may be used to the advantage of system developer and what kinds of improvements can be achieved. We focus on systems that incorporate creation and processing of compound data objects within the RDBMS framework. These basic considerations are illustrated with several examples of implemented database solutions.

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Preliminary guidelines for the construction of an expert system for support of the implementation process of information systems

Nafkha R., Olejniczak M.

Information Systems in Management

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2013

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Vol. 2, No. 3

207--213

EN

The process implementing of modern information systems in medium and large enterprises, more and more often is associated with a number of problems that can occur already at the planning stage. Often incorrect or incomplete separation of problem factors causes that the procedure of implementation of such a system can significantly lengthen, and in the worst case end in failure. Therefore, a crucial part of this process, it is possible to determine the potential problems and consequences thereof already at an early stage in the project. Modern technologies of artificial intelligence are increasingly becoming an indispensable tool supporting decisionmaking in different areas of economic activity. In the following work was analyzed the effectiveness of the use of an expert system in the implementation of information systems based on the skeletal system PC-SHELL. On the basis of research was developed scheme of building the knowledge base for future expert system to support the implementation of the information systems.

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Rough Set Approach to Domain Knowledge Approximation

Nguyen T.T.

Fundamenta Informaticae

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2004

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Vol. 59, nr 2,3

261--270

EN

Classification systems working on large feature spaces, despite extensive learning, often perform poorly on a group of atypical samples. The problem can be dealt with by incorporating domain knowledge about samples being recognized into the learning process. We present a method that allows to perform this task using a rough approximation framework. We show how human expert's domain knowledge expressed in natural language can be approximately translated by a machine learning recognition system. We present in details how the method performs on a system recognizing handwritten digits from a large digit database. Our approach is an extension of ideas developed in the rough mereology theory.