Source Knowledge Base Research Articles

BIBLIOGRAPHIC STUDIES AS SOURCES FOR STUDYING THE ODESA FORENSIC SCHOOL

In the article, the development of the Odesa forensic school is considered in the context of the assets of the scientists of the Department of Forensics and the activities of the scientific centre of the National University «Odesa Law Academy». Bibliographic studies of the system of higher legal education, the formation of the Odesa School of Law and the scientific heritage of its representatives are presented as a source of study of the Odesa Forensic School. Attention is focused on the formation of forensic scientific schools in Ukraine, such as the All-Ukrainian Forensic School of Criminal Justice and the Odesa Forensic School on the problems of improving the methodology of investigating criminal offences and investigating criminal activity. Professor V. Tishchenko made a great contribution to the development of the Odesa forensic school. The range of bibliographic sources for the thematic search for information on available documents in the fund of the scientific library of the university related to the author’s collections of publications of legal scholars is outlined, in particular the results of the scientific activity of scientists of the Department of criminalistics of the National University «Odesa Law Academy» on the study of the All-Ukrainian Forensic School of Criminal Justice. The bibliographic resources that present the works of scientists of the Department of Forensics as a component of the source-based research base of the Odesa Forensic School and the history of the National University «Odesa Law Academy» have been systematized. Bio-bibliographic indexes are presented, which are dedicated to representatives of the Odesa Forensic School – V. Kolmakov (1913-1973) and scientists of the Department of Forensics of the university, such as V. Tishchenko, M. Shulha, O. Netudykhatka. The main goal of bibliographic resources is the systematization of information and the preservation of materials about the contribution of scientists to the development of science, the creation of author’s collections of legal scientists in the fund of the university’s scientific library. Bibliographic and bio-bibliographic editions are a component of the source knowledge base for the research of the personalities of scientists of the Odesa Forensic School and the Odesa School of Law, on the one hand, the history of the development of legal science and education in Ukraine, on the other hand, legal scholars of the National University «Odesa Law Academy», as well as with these achievements in the field of bibliography of specialists of the scientific library of the university.

Knowledge base exchange: The case of OWL 2 QL

In this article, we define and study the problem of exchanging knowledge between a source and a target knowledge base (KB), connected through mappings. Differently from the traditional database exchange setting, which considers only the exchange of data, we are interested in exchanging implicit knowledge. As representation formalism we use Description Logics (DLs), thus assuming that the source and target KBs are given as a DL TBox+ABox, while the mappings have the form of DL TBox assertions. We define a general framework of KB exchange, and study the problem of translating the knowledge in the source KB according to the mappings expressed in OWL 2 QL, the profile of the standard Web Ontology Language OWL 2 based on the description logic DL-LiteR. We develop novel game- and automata-theoretic techniques, and we provide complexity results that range from NLogSpace to ExpTime.

CIDER: Concept-based image diversification, exploration, and retrieval

Many of the approaches to image retrieval on the Web have their basis in text retrieval. However, when searchers are asked to describe their image needs, the resulting query is often short and potentially ambiguous. The solution we propose is to perform automatic query expansion using Wikipedia as the source knowledge base, resulting in a diversification of the search results. The outcome is a broad range of images that represent the various possible interpretations of the query. In order to assist the searcher in finding images that match their specific intentions for the query, we have developed an image organization method that uses both the conceptual information associated with each image, and the visual features extracted from the images. This, coupled with a hierarchical organization of the concepts, provides an interactive interface that takes advantage of the searchers’ abilities to recognize relevant concepts, filter and focus the search results based on these concepts, and visually identify relevant images while navigating within the image space. In this paper, we outline the key features of our image retrieval system (CIDER), and present the results of a preliminary user evaluation. The results of this study illustrate the potential benefits that CIDER can provide for searchers conducting image retrieval tasks.

Symbolical Reasoning about Numerical Data: A Hybrid Approach

By combining methods from artificial intelligence and signal analysis, we have developed a hybrid system for medical diagnosis. The core of the system is a fuzzy expert system with a dual source knowledge base. Two sets of rules are acquired, automatically from given examples and indirectly formulated by the physician. A fuzzy neural network serves to learn from sample data and allows to extract fuzzy rules for the knowledge base. A complex signal transformation preprocesses the digital data a priori to the symbolic representation. Results demonstrate the high accuracy of the system in the field of diagnosing electroencephalograms where it outperforms the visual diagnosis by a human expert for some phenomena.