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elektronická verzia publikácie - FIIT STU

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100 <strong>STU</strong> Faculty of Informatics and Information Technologiesoration on web with the aim to offer better information services. Weshall seek new approaches to develop software tools for support ofadaptive social web paradigm and its services including post-objectparadigms, model-driven development (MDD), web design patterns,which can allow more effective implementation of software informationsystems acting in web environment.Contextual information search and navigation in the social web (VEGA, 1/0675/11)Project leader: M. BielikováMembers UISI: M. Barla, L. Borženský, M. Holub, I. Kapustík, M. Kasan, M. Kompan,T. Kramár, P. Lacko, P. Michlík, P. Návrat, V. Rozinajová,J. Šimko, M. Šimko, J. Tvarožek, M. Tvarožek, V. Vranić, D, ZeleníkSupported by: Scientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2011 – December 2014Description: Considering today's information overload, caused by mass and dynamicsof the accessible information, effective information search andnavigation becomes an important and crucial task during activitieswith information needs. Project focuses on research of methods andtechniques for information searching and navigation and on ways oftheir realization in the milieu of adaptive and social web with semanticswith regard to problem-related software architectures (esp. serviceoriented architectures) methods of distributed provessing of extensivedata sources and to model-driven development of software includingpost-object paradigms.Acquiring, processing and visualization of textual information based on analysis ofsimilarity relations (VEGA, 1/0971/11)Project leader: D. ChudáMembers UISI: N. Andrejčíková, M. Bieliková, A. Bou Ezzeddine, R. Čapla, P. Kajsa,G. Kosková, T. Kučečka, T. Kuzár, J. Lang, Ľ. Majtás, P. Mederly,P. Návrat, I. Polášek, J. Suchal, R. ŠelmeciSupported by: Scientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2011 – December 2014Description: Web data acquisition is a highly topical task and despite several wellknownmethods, users struggle with poor quality (accuracy, relevance,and coverage) responses. The problem is to find methods to obtainrelevant information on an issue that has a dynamic character, i.e.evolves over time. Acquired documents can be mined for more information.In particular, new approaches (neural networks, swarm intelligence)are being researched. Attention is drawn to methods whichprocess Slovak texts. Recommendations of relevant or interesting informationare studied together with non-standard versions of similarity.Relationships between the versions, originality, authorship, andoriginality are being evaluated. Methods take into account that the usercan be a part of social networks. The proposed methods will beused in various systems of information processing including e-learning. Software structures which support interoperability of suchsystems and composition of provided services are being designed.

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