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The article discusses the problem of knowledge representation language selection for domain ontologies. In the article the use of ontology as a tool of knowledge representation was presented and the analysis of logical formalisms such as frames, logic programs, description logic, first-order logic and common logic was carried out. Then a number of classic and markup based knowledge representation languages were analysed: Ontolingua, LOOM, OCML, FLogic, SHOE, RDF(S), OWL, OWL2. Based on the analysis of literature relationships and dependencies between versions and profiles of the OWL language were systematised. The article ends with the conclusion, according to which OWL 2 DL language is the most expressive language of retaining decidability, and therefore it is characterized by the highest applicability in the construction of domain ontologies allowing inference.
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The TOPSIS method (Technique for Order Preference by Similarity Ideal Solu-tion) suggested by Hwang and Yoon [1981], belongs to the group of pattern linear ordering methods of multidimensional objects. A characteristic feature of this method is a way to evaluate a synthetic criterion’s values, which takes into consideration the distance of an evaluated object from a positive-ideal solution as well as from a negative-ideal solution. The fuzzy TOPSIS method enables the linear ordering of objects described through linguistic variables, whose values are expressed in the form of triangular fuzzy numbers. In this arti-cle, a way of synthetic measurement estimation in environment R was presented, according to the assumptions of the fuzzy TOPSIS method proposed by Chen [2000]. Scripts, which are included in the article make the accomplishment of this particular method’s stages pos-sible.
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The goal of the paper is to present the application of big data solutions in the process of organizations’ management especially concerning healthcare subjects. It raises the issue of big data application in multiple areas, including supporting decisions and the improvement of efficiency and efficacy of the whole decision-making process. Big data technologies have manifold advantages for the organizations which implemented it and may be an element which can contribute to the achievement of a competitive advantage of such an organization. The review paper presents the notion of big data solutions with a brief presentation of its architecture and also puts an emphasis on the benefits of its application in healthcare subjects and the management of organizations. It describes the methods and techniques of data processing for the purpose of huge volumes of data analysis. On the basis of the literature review and an analysis of the McKinsey report, the Big Data Executive Survey 2013 report, IBM, Intel research and case studies, it presents selected examples of big data application in healthcare.
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The theory of transaction costs constitutes an important component of the new institutional economy, which, amongst others, explains to a great extent business relations between the suppliers and the clients as part of outsourcing. The aim of this article is to present the results of research concerning the transaction cost theory analysed on the example of IT implementation projects consisting in the implementation of standard ERP, CRM, DMS and BI-class management support systems amongst enterprises based in Poland as part of outsourcing. The article presents both the client’s and the supplier’s perspective. The research results can be interesting for theorists of business informatics and for practitioners implementing IT projects both in enterprises and government agencies with the use of outsourcing.
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The article presents a temporal point of view of knowledge on economics. It discusses temporal knowledge and temporal intelligent systems as well as temporal ontology representation. It also presents PROTON system – an inference system for temporal ontologies and knowledge bases.
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This study focused on the application and accuracy of spatially marking tennis shots in a special computer interface based on the visual observation of video recorded tennis play. The interface program, graphically designed in the shape of a tennis court, is shown on a computer screen along with a video showing a series of balls being hit and landing on the court. The task of the observer was to mark on the interface the location where he/she felt the ball falls on the court. In effect, the interface functions as a coordinate system whereby tennis play (in this case balls falling on one side of the court) is catalogued into a series of coordinative points. These data are then converted into a spreadsheet allowing for statistical calculation and analysis. The results of the trial indicated that the accuracy of the designated points on the interface depended on the distance between where the ball fell and the nearest line delineating the court. Balls that landed less than 0.3 m from the nearest line featured a mean distance error of only 0.11 m. For the purpose of analysing game tactics, the interface was found to be an applicable tool in the collection of tennis match data.
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