Validation of an Agent and Ontology-Based Information Technology Assessment System

Orłowski, Cezary; Ziółkowski, Artur; Czarnecki, Adam

doi:10.1080/01969720903408805

Cited by 10 publications

(2 citation statements)

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“…Additionally, the available API provides several mechanisms to test semantics and to validate the conceptual and instanced models (Orłowski et al 2010). Once the ontology is instanced, the final ontology-based model becomes a repository of shareable explicit decisional knowledge that can be queried for inference purposes using RO Toro et al 2008).…”

Section: Ontology-based Decisional Dna Knowledge Structurementioning

confidence: 99%

Decisional Dna: The Concept and Its Implementation Platforms

Sanín

Mancilla-Amaya

Zhang

et al. 2012

Cybernetics and Systems

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Knowledge and experience engineering techniques are becoming increasingly useful and popular components of hybrid integrated systems used to solve complex real-life problems in different disciplines. These techniques offer features such as learning from experience, handling noisy and incomplete data, helping with decision making, and predicting capabilities. In this article, we present a number of different applications of a multidomain knowledge representation structure called decisional DNA that can be implemented and shared for the exploitation of embedded knowledge within different technologies.

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Section: Ontology-based Decisional Dna Knowledge Structurementioning

confidence: 99%

Decisional Dna: The Concept and Its Implementation Platforms

Sanín

Mancilla-Amaya

Zhang

et al. 2012

Cybernetics and Systems

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“…Some successful application of agent-oriented architecture can be pointed in decision support systems (DSS) in the area of the discovery of stock market gamblers patterns [3], [4], web usage mining [5] and the evaluation of information technology [6].…”

Section: Introductionmentioning

confidence: 99%

Cognitum Ontorion: Knowledge Representation and Reasoning System

Weichbroth¹

2015

Annals of Computer Science and Information Systems

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Abstract-"If knowledge can create problems, it is not through ignorance that we can solve them." (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system. Firstly, we identify emerging issues focused on knowledge representation and reasoning. Secondly, we briefly discuss models and methodology of agent-oriented analysis and design. Next, the semantic knowledge management framework of the system is reviewed. Finally, the usability of Ontorion is argued based on a case study, in which a software process simulation modeling environment is developed. At the end we provide future work directions and final conclusions.

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