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Semantic Search and Analytics over Large Repository of Scientific Articles

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Intelligent Tools for Building a Scientific Information Platform

Part of the book series: Studies in Computational Intelligence ((SCI,volume 390))

Abstract

We present the architecture of the system aimed at search and synthesis of information within document repositories originating from different sources, with documents provided not necessarily in the same format and the same level of detail. The system is expected to provide domain knowledge interfaces enabling the internally implemented algorithms to identify relationships between documents (as well as authors, institutions et cetera) and concepts (such as, e.g., areas of science) extracted from various types of knowledge bases. The system should be scalable by means of scientific content storage, performance of analytic processes, and speed of search. In case of compound computational tasks (such as production of richer semantic indexes for the search improvements), it should follow the paradigms of hierarchical modeling and computing, designed as an interaction between domain experts, system experts, and appropriately implemented intelligent modules.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen, Dominik Ślęzak, Andrzej Skowron & Jan G. Bazan

  2. Infobright Inc., ul. Krzywickiego 34 lok. 219, 02-078, Warsaw, Poland

    Dominik Ślęzak

  3. Chair of Computer Science, University of Rzeszów, ul. Rejtana 16A, 35-310, Rzeszów, Poland

    Jan G. Bazan

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  1. Hung Son Nguyen
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  2. Dominik Ślęzak
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  3. Andrzej Skowron
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  4. Jan G. Bazan
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Faculty of Electronics and Information, Warsaw University of Technology, Ul. Nowowiejska 15/19, Warsaw, 00-665, Poland

    Robert Bembenik

  2. Institute of Computer Science, Faculty of Electronics and Information, Warsaw University of Technology, Ul. Nowowiejska 15/19, Warsaw, 00-665, Poland

    Lukasz Skonieczny

  3. Institute of Computer Science, Faculty of Computer Science and, Warsaw University of Technology, ul. Zolnierska 49, Warsaw, 00-665, Poland

    Henryk Rybiński

  4. , Interdisciplinary Centre for Mathematica, University of Warsaw, Ul. Pawińskiego 5a, Warsaw, 02-106, Poland

    Marek Niezgodka

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Nguyen, H.S., Ślęzak, D., Skowron, A., Bazan, J.G. (2012). Semantic Search and Analytics over Large Repository of Scientific Articles. In: Bembenik, R., Skonieczny, L., Rybiński, H., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24809-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-24809-2_1

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