Search results for: WIKIPEDIA - Bridge of Knowledge

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Search results for: WIKIPEDIA

  • How Specific Can We Be with k-NN Classifier?

    Publication

    This paper discusses the possibility of designing a two stage classifier for large-scale hierarchical and multilabel text classification task, that will be a compromise between two common approaches to this task. First of it is called big-bang, where there is only one classifier that aims to do all the job at once. Top-down approach is the second popular option, in which at each node of categories’ hierarchy, there is a flat classifier...

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  • Text Categorization Improvement via User Interaction

    Publication

    - Year 2018

    In this paper, we propose an approach to improvement of text categorization using interaction with the user. The quality of categorization has been defined in terms of a distribution of objects related to the classes and projected on the self-organizing maps. For the experiments, we use the articles and categories from the subset of Simple Wikipedia. We test three different approaches for text representation. As a baseline we use...

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  • Automatyczna klasyfikacja artykułów Wikipedii

    Wikipedia- internetowa encyklopedia do organizacji artykułów wykorzystuje system kategorii. W chwili obecnej proces przypisywania artykułu do odpowiednich kategorii tematycznych realizowany jest ręcznie przez jej edytorów. Zadanie to jest czasochłonne i wymaga wiedzy o strukturze Wikiedii. Ręczna kategoryzacja jest również podatna na błędy wynikające z faktu, że przyporządkowanie artykułu don kategorii odbywa się w oparciu o arbitralną...

  • Follow the Light. Where to search for useful research information

    Architectural Lighting Design (ALD) has never been a standalone professional discipline. Rather, it has existed as the combination of art and the science of light. Today, third generation lighting professionals are already creatively intertwining these fields, and the acceleration in scientific, technological and societal studies has only increased the need for reliable multidisciplinary information. Therefore, a thorough re-examination...

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  • Identification of category associations using a multilabel classifier

    Description of the data using categories allows one to describe it on a higher abstraction level. In this way, we can operate on aggregated groups of the information, allowing one to see relationships that do not appear explicit when we analyze the individual objects separately. In this paper we present automatic identification of the associations between categories used for organization of the textual data. As experimental data...

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  • Annotating Words Using WordNet Semantic Glosses

    Publication

    - Year 2012

    An approach to the word sense disambiguation (WSD) relaying onthe WordNet synsets is proposed. The method uses semantically tagged glosses to perform a process similar to the spreading activation in semantic network, creating ranking of the most probable meanings for word annotation. Preliminary evaluation shows quite promising results. Comparison with the state-of-theart WSD methods indicates that the use of WordNet relations...

  • Interactive Information Search in Text Data Collections

    Publication

    This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results...

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  • IDENTYFIKACJA POWIĄZAŃ POMIĘDZY KATEGORIAMI WIKIPEDII Z UŻYCIEM MIAR PODOBIEŃSTWA ARTYKUŁÓW

    W artykule opisano podejście do identyfikacji powiązań między kategoriami w repozytorium danych tekstowych, bazując na Wikipedii. Przeprowadzając analizę podobieństwa między artykułami określono miary pozwalające zidentyfikować powiązania między kategoriami, które nie były wcześniej uwzględnione i nadawać im wagi określające stopień istotności. Przeprowadzono automatyczną ocenę uzyskanych rezultatów w odniesieniu do już istniejącej...

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  • Commonly Accessible Web Service Platform - Wiki-WS

    Publication

    - Year 2012

    Web Service technology on the basis had to supply complete and reliable system components. Nowadays this technology is commonly used by companies providing results of their work to end users and hiding implementation details. This paper presents a SOA-enabled platform - Wiki-WS - that empowers users to deploy, modify, discover and invoke web services. Moreover it discusses concepts and functionalities of this open source management...

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  • Wizualizacja struktury Wikipedii do wspomagania wyszukiwania informacji

    Publication

    - Year 2011

    Graficzna prezentacja jest efektywnym sposobem poprawiania interakcji użytkownika z repozytorium wiedzy. Pozwala ona na przejrzyste przedstawienie złożonych struktur i uchwycenie zależności, które nie są widoczne bezpośrednio. Zastosowanie takiego podejścia w wyszukiwaniu informacji pozwala na prezentację danych na wysokim poziomie abstrakcji przy jednoczesnym określeniu ich kontekstu, co ma bezpośrednie przełożenie na jakość dostępu...

  • Improving Effectiveness of SVM Classifier for Large Scale Data

    The paper presents our approach to SVM implementation in parallel environment. We describe how classification learning and prediction phases were pararellised. We also propose a method for limiting the number of necessary computations during classifier construction. Our method, named one-vs-near, is an extension of typical one-vs-all approach that is used for binary classifiers to work with multiclass problems. We perform experiments...

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  • Two Stage SVM and kNN Text Documents Classifier

    Publication

    - Year 2015

    The paper presents an approach to the large scale text documents classification problem in parallel environments. A two stage classifier is proposed, based on a combination of k-nearest neighbors and support vector machines classification methods. The details of the classifier and the parallelisation of classification, learning and prediction phases are described. The classifier makes use of our method named one-vs-near. It is...