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International conference ELPUB 2015
Pokorný, Jan
Cílem účasti na mezinárodní konferenci ELPUB byla konfrontace znalostí a postupů v oblasti zpřístupňování digitálního obsahu. Letošní ročník byl dvěma nosným tématům, které jsou pro NTK aktuální: problematika vyhledávání a zpřístupňování obsahu vzhledem k vzrůstajícímu množství informací spolu s fyzickým objemem sbírek a problematika indexování netextových dokumentů.
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Linguistic aspects of the information science in the application of the recent technical language with emphasis on anatomical terminology
Musil, Vladimír ; Stingl, Josef (advisor) ; Feberová, Jitka (referee) ; Bozděchová, Ivana (referee)
Although anatomical terminology is in use for more than 2000 years, its first official publication achieved in 1895. The need for development of cogent nomenclature arose due to the high level of synonyms labeling individual anatomical structures. Thus towards the end of the 19th century existed more then 50 000 terms describing approximately 5 000 known structures at that time. Such synonymity caused and still causes chaos, especially in the research activities field. The reason for this is fact that most of the research performed not directly by medical field specialists but also information field specialists does not respect the historical evolution of terms. More, it mixes them according to different issues of the official terminologies. Also, further making the research activity complicated is wrong use of anatomical terms, lack of knowledge and misuse of latine grammary and last but not least americanization of the latine terms. Another hot topic is non existence of the official Czech anatomical terminology. This leads to increased tendency of neologisms formation which in turn causes increase of synonymities. Our study demonstrates above mentioned problems on examples from selected human body structures like locomotory and circulatory systems: bursas, 33 selected skeletal muscles, VIIIth cranial...
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Mapping of physiotherapy techniques terminology in scientific databases
Novák, Michal ; Kučerová, Helena (advisor) ; Jarolímková, Adéla (referee)
in English This Bachelors thesis is dedicated to the major bibliographic databases in physiotherapy and mapping concepts between them. Firstly, based on the amount of important scientific journals, the most important bibliographic databases were identified and then they were analysed. That brought basic information about individual databases and about system how there are documents organised. These knowledge organisation systems were examined further with increased emphasis on concepts related to physiotherapy, especially physiotherapy techniques. Each concept was mapped across the analysed bibliographic databases and presented in a scheme, which can help to make information retrieval in those databases more efficient or as a principle for further investigation of those concepts and their relationship in medical bibliographic databases.
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The interaction of information science and cognitive sciences with emphasis on information retrieval
Pilecká, Věra ; Papík, Richard (advisor) ; Sedláčková, Beáta (referee) ; Rankov, Pavel (referee)
Mgr. Věra Pilecká The interaction of information science and cognitive sciences with emphasis on information retrieval (dissertation thesis) (Vzájemné ovlivňování informační vědy a kognitivních věd s důrazem na vyhledávání informací) Abstract Focus of this thesis is on the description of the interaction of information science and cognitive sciences with emphasis on information retrieval which is influenced by some of the cognitive aspects. The introductory chapter deals with the definition of information science and paradigms inspired by a cognitive approach (cognitive and socio-cognitive paradigm). Then a cognitive science is defined including its basis, methods and application. In the third chapter, a comparison between information and cognitive science is included, and their interaction and common interests are described. Fourth chapter focuses on information retrieval and influencing factors, including search methods, user information behaviour, and user cognitive characteristics and mental models. The final chapter presents two surveys focused on the use of intuitive and analytical information retrieval styles during searching on Google, and the perception of the differences between traditional and online teaching of the effective reading techniques. Both surveys illustrate the influence of users'...
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Databases and digital libraries for pharmaceutical disciplines
Kebza, Vladimír ; Papík, Richard (advisor) ; Horváth, David (referee)
The aim of the diploma thesis is to describe and basically analyze representative databases and digital libraries that focus on pharmaceutical disciplines. The introductory chapter is concerned with related terminology, while the following chapters refer to significant subjects and principles in the field of pharmaceutical industry, and also to important classification systems and retrieval languages that can be found in some of the described resources. The fifth chapter focuses on pharmaceutical information resources which are offered by some of the world's leading database service companies. The sixth chapter contains a description and a basic analysis of 10 representative electronic resources for pharmaceutical disciplines. The empirical section of this diploma thesis consists of three major parts. One of them is a subject coverage analysis of bibliographic databases MEDLINE and EMBASE from the viewpoint of pharmaceutical information. Secondly, it contains a presentation of an indicative survey that is related to using electronic information resources by a commercial and a nonprofit subject. The last chapter deals with information brokering that is presented on example of the Medistyl company. Keywords Pharmaceutical industry, pharmacy, pharmacovigilance, factographic databases, bibliographic...
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Matching Images to Texts
Hajič, Jan ; Pecina, Pavel (advisor) ; Průša, Daniel (referee)
We build a joint multimodal model of text and images for automatically assigning illustrative images to journalistic articles. We approach the task as an unsupervised representation learning problem of finding a common representation that abstracts from individual modalities, inspired by multimodal Deep Boltzmann Machine of Srivastava and Salakhutdinov. We use state-of-the-art image content classification features obtained from the Convolutional Neural Network of Krizhevsky et al. as input "images" and entire documents instead of keywords as input texts. A deep learning and experiment management library Safire has been developed. We have not been able to create a successful retrieval system because of difficulties with training neural networks on the very sparse word observation. However, we have gained substantial understanding of the nature of these difficulties and thus are confident that we will be able to improve in future work.
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