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EN
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.
EN
Thesauri and classification systems are traditionally used in search and retrieval of content of documents (sources). One of their most important components is the generic chain of hierarchy of concepts (classes) in which the features of the concept of a more general meaning (a more comprehensive class) are 'inherited' by the more specific concepts (classes). In the wake of aspirations toward working out the semantic web there appeared the so-called ontologies which are made up of the generic chains of hierarchy of concepts (classes) and rules formulated according to a logic of first order linked up with them. A key task of these is to secure the aforementioned inheritance of the generic hierarchy and to enable the drawing of conclusions with it. Ontologies can indirectly be traced back, for one, to Aristotle's system of categories and, for another, to Ranganathan's multi-dimensional theory of classification, a stimulus to modern classification, and by virtue of the latter, to cultures of the Far East as well. Ontologies are employed in expert systems and knowledge bases in order to provide for an information retrieval more automated in terms of semantics. Their proposal for standardization was also compiled early in 2003 (OWL). In the concluding part of the study an example of application for thesauri and classification systems is presented.
PL
W pracy przedstawiono projekt ontologii BHP opracowanej na podstawie normy PN-N-18001 Systemy zarządzania bezpieczeństwem i higieną pracy. Wymagania. Ontologię zdefiniowano w języku OWL (Ontology Web Language). Przedstawiono odpowiednio diagramy klas, diagramy właściwości obiektowych oraz właściwości typu danych. Zaprezentowano odpowiednie wizualizacje ontologii oraz przykłady definiowania pojęć i relacji.
EN
In the paper, the design of the OHS ontology based on the Polish Standard PN-N-18001 (the OHS management system) is shown. The ontology is defined using the Web Ontology Language (OWL). Diagrams of classes, object properties, and data properties are presented, respectively. Proper visualizations of the ontology as well as examples of definitions of classes and relations are depicted.
PL
Celem niniejszego opracowania jest analiza problematyki dotyczącej modelowania kontekstowej wiedzy o użytkowniku z zastosowaniem rozwiązań semantycznych, w szczególności języków opisu ontologii. W pierwszym rozdziale zaprezentowano techniki modelowania wiedzy o użytkowniku. W rozdziale drugim ukazano typologię kontekstu, w jakim taka wiedza może być kodyfikowana. W końcowej części opracowania podjęto problematykę zastosowania języków opisu ontologii w modelowaniu kontekstowej wiedzy o użytkowniku oraz zaprezentowano propozycję ontologii pozwalającej opisać kontekst przestrzenny w języku OWL.
EN
The use of computer systems today is focused on improving the effective-ness and efficiency of the organization and decision-makers. To make this possible it is necessary to create solutions that support the processing of not only data and information but also knowledge. IT solutions may be responsible for collecting the knowledge about the user, its processing, allocation, sharing. Thanks to their use the message formulated to the user cease to be merely a reflection of numerical information, it becomes persona-lized and multimedia. Thus, the participant becomes a part of such an "active environ-ment", which examines our behavior and take appropriate action in a given context. The purpose of this study is to analyze the issues concerning user modeling knowledge using semantic solutions in particular ontology description languages. The first chapter will present the modeling techniques of knowledge about the user. The second chapter will concentrate on typology of the context in which this knowledge can be codified. At the end of the issue of ontology description languages for modeling contextual knowledge about the user will be taken, and the proposal of allowing ontologies to describe the spa-tial context of the system of knowledge in OWL will be presented.
EN
The main goal of our research is to build the ontology of places in Poland covering variety of aspects of places, mainly administrative and socio-economic. In the paper, we show a part of the ontology on the example of the Mazowieckie Voivodship. The ontology is being implemented using the OWL 2 Web Ontology Language.
PL
Głównym celem badań jest stworzenie ontologii miejscowości w Polsce obejmującej różnorodne ich aspekty, przede wszystkim administracyjne oraz socjoekonomiczne. W artykule przedstawiony został fragment ontologii na przykładzie Województwa Mazowieckiego. Ontologia jest implementowana w języku OWL 2 Web Ontology Language.
EN
The paper presents the original architecture of the system recommending preventive/corrective procedures in the occupational health and safety management system in an enterprise: ComplianceOHS-CBR. The system consists of four modules: Module A — an ontology of the workplace OHS profile, Module B — an ontology of preventive/corrective procedure indexation OPCPI, Module C — a recording system of the monitoring process of non-compliance with the requirements of OHS, Module D — a recommending engine consistent with the CBR methodology. The essence of the approach presented in this paper is integration of the monitoring system of the analysis process of non-compliance with the requirements of OHS at the workplace (the ADONIS system was used) with the case-based reasoning process (CBR). The integration platform consists of two ontologies: an ontology of profile compliance with the workplace OHS requirements (OP-OHS) and an ontology of preventive/corrective procedure indexation (OPCPI). Both of the ontologies are presented in the Protege 5 OWL editor. Inference engines are alternatively, according to the CBR methodology, myCBR and jCOLLIBRI.
PL
W pracy przedstawiono oryginalną architekturę systemu rekomendującego procedury zapobiegawczo-korygujące w systemie BHP przedsiębiorstwa: Compliance OHS-CBR. System składa się z czterech modułów: moduł A: ontologia profilu BHP stanowiska pracy, moduł B: ontologia indeksacji procedur zapobiegawczo-korygujących OIP-ZK, moduł C: system ewidencjonowania procesu monitorowania niezgodności z wymaganiami BHP, moduł D: silnik wydawania rekomendacji w metodologii CBR. Istotą podejścia prezentowanego w niniejszej pracy jest integracja systemu monitorowania procesu analizy niezgodności z wymaganiami BHP na stanowiskach pracy (zastosowano oprogramowanie ADONIS) z systemem wnioskowania z bazy przypadków CBR. Platformą integracji są dwie ontologie: ontologia profilu zgodności z wymaganiami BHP na stanowisku pracy (OP-BHP) oraz ontologia indeksacji procedur zapobiegawczo--korygujących OIP-ZK. Obydwie ontologie przedstawiono w edytorze Protege 5 języka OWL. Silnikami wnioskującymi zgodnie z metodologią CBR są alternatywnie: myCBR oraz jCOLLIBRI.
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