Wyniki wyszukiwania dla: wikipedia - MOST Wiedzy

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Wyniki wyszukiwania dla: wikipedia

Wyniki wyszukiwania dla: wikipedia

  • DBpedia As a Formal Knowledge Base – An Evaluation

    DBpedia is widely used by researchers as a mean of accessing Wikipedia in a standardized way. In this paper it is characterized from the point of view of questions answering system. Simple implementation of such system is also presented. The paper also characterizes alternatives to DBpedia in form of OpenCyc and YAGO knowledge bases. A comparison between DBpedia and those knowledge bases is presented.

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  • Improving css-KNN Classification Performance by Shifts in Training Data

    Publikacja

    - Rok 2015

    This paper presents a new approach to improve the performance of a css-k-NN classifier for categorization of text documents. The css-k-NN classifier (i.e., a threshold-based variation of a standard k-NN classifier we proposed in [1]) is a lazy-learning instance-based classifier. It does not have parameters associated with features and/or classes of objects, that would be optimized during off-line learning. In this paper we propose...

  • Cooperative Word Net Editor for Lexical Semantic Acquisition

    Publikacja

    - Rok 2011

    The article describes an approach for building Word Net semantic dictionary in a collaborative approach paradigm. The presented system system enables functionality for gathering lexical data in a Wikipedia-like style. The core of the system is a user-friendly interface based on component for interactive graph navigation. The component has been used for Word Net semantic network presentation on web page, and it brings functionalities...

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  • Automatyczna budowa taksonomii usług w oparciu o ich głosy w języku naturalnym oraz przy uzyciu zewnętrznych źródeł wiedzy

    Publikacja

    - Rok 2009

    Przedstawiono propozycję metody automatycznej budowy taksonomiiusług na podstawie ich opisów w języku naturalnym, w oparciu ometodę analizy formalnych koncepcji (FCA). Dodatkowo przedstawione rozwiązanie przewiduje możliwość skorzystania z zewnętrznych źródeł wiedzy takich jak Wikipedia, Word Net, ConceptNet lub globalnej sieci WWW w celu eliminacji problemu niepełnych danych wejściowych (ang. data sparseness).

  • Words context analysis for improvement of information retrieval

    Publikacja

    - Rok 2012

    In the article we present an approach to improvement of retrieval informationfrom large text collections using words context vectors. The vectorshave been created analyzing English Wikipedia with Hyperspace Analogue to Language model of words similarity. For test phrases we evaluate retrieval with direct user queries as well as retrieval with context vectors of these queries. The results indicate that the proposed method can not...

  • Game with a Purpose for Mappings Verification

    Mappings verification is a laborious task. The paper presents a Game with a Purpose based system for verification of automatically generated mappings. General description of idea standing behind the games with the purpose is given. Description of TGame system, a 2D platform mobile game with verification process included in the gameplay, is provided. Additional mechanisms for anti-cheating, increasing player’s motivation and gathering...

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  • Thresholding Strategies for Large Scale Multi-Label Text Classifier

    Publikacja

    This article presents an overview of thresholding methods for labeling objects given a list of candidate classes’ scores. These methods are essential to multi-label classification tasks, especially when there are a lot of classes which are organized in a hierarchy. Presented techniques are evaluated using the state-of-the-art dedicated classifier on medium scale text corpora extracted from Wikipedia. Obtained results show that the...

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  • Towards Effective Processing of Large Text Collections

    Publikacja

    In the article we describe the approach to parallelimplementation of elementary operations for textual data categorization.In the experiments we evaluate parallel computations ofsimilarity matrices and k-means algorithm. The test datasets havebeen prepared as graphs created from Wikipedia articles relatedwith links. When we create the clustering data packages, wecompute pairs of eigenvectors and eigenvalues for visualizationsof...

  • External Validation Measures for Nested Clustering of Text Documents

    Publikacja

    Abstract. This article handles the problem of validating the results of nested (as opposed to "flat") clusterings. It shows that standard external validation indices used for partitioning clustering validation, like Rand statistics, Hubert Γ statistic or F-measure are not applicable in nested clustering cases. Additionally to the work, where F-measure was adopted to hierarchical classification as hF-measure, here some methods to...

  • Parallel Computations of Text Similarities for Categorization Task

    Publikacja

    - Rok 2013

    In this chapter we describe the approach to parallel implementation of similarities in high dimensional spaces. The similarities computation have been used for textual data categorization. A test datasets we create from Wikipedia articles that with their hyper references formed a graph used in our experiments. The similarities based on Euclidean distance and Cosine measure have been used to process the data using k-means algorithm....

  • Passing from requirements specification to class model using application domain ontology

    The quality of a classic software engineering process depends on the completeness of project documents and on the inter-phase consistency. In this paper, a method for passing from the requirement specification to the class model is proposed. First, a developer browses the text of the requirements, extracts the word sequences, and places them as terms into the glossary. Next, the internal ontology logic for the glossary needs to...

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

    Publikacja

    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

    Publikacja

    - Rok 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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  • Selection of Relevant Features for Text Classification with K-NN

    In this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...

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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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  • Wizualizacja struktury Wikipedii do wspomagania wyszukiwania informacji

    Publikacja

    - Rok 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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  • Commonly Accessible Web Service Platform - Wiki-WS

    Publikacja

    - Rok 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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  • Two Stage SVM and kNN Text Documents Classifier

    Publikacja

    - Rok 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...

  • Interactive Information Search in Text Data Collections

    Publikacja

    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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  • Annotating Words Using WordNet Semantic Glosses

    Publikacja

    - Rok 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...