Pavel Tyl’s research while affiliated with Technical University of Liberec and other places

Knowledge can be used for description, sorting and searching of useful data. Knowledge, on the other hand, may be very narrowly connected with a person, who may leave a company. Such situation can be avoided by using of ontology as a tool of knowledge engineering or in general as a tool for knowledge representation. The paper presents on ontology design to peculiarities of humin substances based on analysis of existing similar type ontologies. It enables to preserve, make accessible and reuse gained experiences, for instance for design of functionally rich, flexible and easy integrable systems and applications. In introduction this work presents an overview of selected formalisms for interception of data structure and processes in humin substances area with respect to using ontologies and their possibilities. The paper is especially a case study of ontology application for evidence and data organization of humin substances, their measurement and experimentations, where use of ontologies is not yet common. It shows a potential of ontologies and illustrates parameters of generally applicable model for such area.

Trust management systems has been proposed to address joyless security in open and distributed environments (Web, Semantic Web, Peer-to-peer networks, etc.). A user usually spent a lot of time by building her reputation and by creating a network of trusted/distrusted users. Without possibility of seamless transfer from one trust management system to another, a user is forced to build a new reputation/network of trusted users again. This problem will become even more severe, as many current systems using trust as a key factor influencing ability to communicate within a group of users will be outdated and some of them even down. The paper presents a specification of the seamless transfer problem and it also introduces a solution – the Heritage Trust Model based on dynamic graphs and ontologies.

Improving the ontology integration seems to be an important thing for maintenance of cooperation among various directions of ontology engineering (semantic web services, social networks, etc.). While particular ontologies cover a view at one specific domain of interest, many applications require much more general approach to describe their data. On this account it approaches to a promising solution to the semantic heterogeneity, ontology matching. Matching can be improved in various ways, such as improving matching strategies, tools and systems, basic techniques and methods or by explaining, representing and further processing and evaluating matching results. This paper describe a matching plug-in into the open-source ontology editor, Protégé. The plug-in is called COMP and it is a tool for comparing and evaluating various matching techniques and strategies.