Search

Digitalization of the power supply chain and introduction of smart power grids to integrate renewable energy sources and electric vehicles into the existing power grid have led to a significant increase in the data and information exchange between stakeholders. The paper studies semantic modeling of the power data and its storing in graph databases to enable its fast and reliable retrieval. A common information model enables semantic interoperability of power data related to different processes and time scales, either real or long-term planning. The resource description framework (RDF) is an effective means to serialize data on the Semantic Web. The paper examines the methodology for storing the data serialized as an RDF/XML file in a graph database and approaches for data retrieval data from databases to be used by other business processes. As part of the practical work of this paper, RDF distribution network models will be placed in two graph databases of different concepts (Neo4j and GraphDB) and their performance will be compared and evaluated. [ABSTRACT FROM AUTHOR]

Purpose: In this paper, we provide a concise overview of the researches that address the search and selection of adult literature, with special emphasis on the search for yet unknown material, especially in the online environment. Methodotogy/approach: We performed a comparative critical review of the available literature. We reviewed researches by domestic and foreign authors, especially in the field of library and information science. Results: In the studies, the search for literature is highlighted as a strongly context-related process where the combination of the readers' searching skills, their knowledge, personal and affective factors, and well-functioning interaction with the system results in a more or less successful literary book selection. The basic functions of literature are to provoke a certain state of mind in the reader or to communicate the author's view, judgment. A good fiction search system should also include these aspects tailored to individual types of readers. In order to create more appropriate systems for literature readers, we need additional, both qualitative and extensive evaluation user studies. Research limitations: Only researches addressing the search for adult literature were included in the analysis of information retrieval behavior. We have not considered studies on the search for non-fiction, nor studies on the search for fiction for children. The review was limited to sources published in English, Italian and Slovenian language. Originality/practical implications: By reviewing the research areas and research methods used, we determined the coverage of researches that address the issue of finding and selecting literature for adults. In this context we identified yet unexplored gaps and developed substantive and methodological guidelines for further work. At the same time, we offered a theoretical basis for the further development of the recommended literature portal Dobreknjige.si and other consulting services for literature. [ABSTRACT FROM AUTHOR]

The paper presents individual differences, which are found in studies of information retrieval with emphasis on models of personality traits, cognitive and learning styles. It pays special attention to those models which are most often included in studies of information behaviour, information seeking, perceptions of IR systems, etc., but also brings forward some models which have not yet been included in such studies. Additionally, the relationship between different individual characteristics and individual's chosen profession or academic area is discussed. In this context, the paper presents how investigation of individual differences can be useful in the design of IR systems. [ABSTRACT FROM AUTHOR]

The paper brings an overview of information visualization field, concentrating on its application to information retrieval systems. It presents the basis of information visualization and the reasons that implicate the use of visualization in information retrieval systems. It also discusses the selection of the right visualization technique and portrays some examples of visualization. Special attention is given to evaluation problems and results of information retrieval visualizations that were made so far. Even though studies have not proved information retrieval to be more successful with the use of visualization, it seems that researchers still believe in the power and the advantages of visualization and continue to look for a technique that would prove that. The authors conclude that with the changes on the web and the progress made in information retrieval systems, the time for visualization that would live up to its expectations might only be coming. [ABSTRACT FROM AUTHOR]