Wyniki wyszukiwania dla: WEB EXTRACTION. - MOST Wiedzy

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Wyniki wyszukiwania dla: WEB EXTRACTION.

Wyniki wyszukiwania dla: WEB EXTRACTION.

  • Web component for automatic extraction of ontological information from informal description of web services

    Publikacja

    - Rok 2012

    This article treats about usage possibilities of Web Services and cooperation in development that leads to constant improvement of these components. It describes the semantic methods which can beused to create the description that is comprehensible for computers. It also presents the two models supporting the automatic generation of the semantic description based on informal description. Thepaper draws upon the comparison of two...

  • Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives

    Publikacja
    • T. Souza
    • E. Demidova
    • T. Risse
    • H. Holzmann
    • G. Gossen
    • J. Szymański

    - Rok 2015

    Long-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can facilitate intelligent access to the Web archive data. However, the annotation of the entire archive content on this scale is often infeasible. The most efficient way to access the documents within Web archives is provided through their URLs, which are...

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  • Discovering patterns of Web Page Visits from Associaton Rules Viewpoint

    Publikacja

    The popularity of the Internet results from the almost unlimited resources of information stored in it. At the same time, Internet portals have become a widespread source of information and note very large number of visits. The list of web pages opened by users is stored in web servers' log files. Extraction of knowledge on the navigation paths of users has become carefully analyzed problem. Currently, there are a number of algorithms...

  • A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages

    Publikacja
    • N. Khairova
    • O. Mamyrbayev
    • N. Rizun
    • M. Razno
    • G. Ybytayeva

    - IEEE Access - Rok 2023

    These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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  • Controlling computer by lip gestures employing neural network

    Publikacja

    - Rok 2010

    Results of experiments regarding lip gesture recognition with an artificial neural network are discussed. The neural network module forms the core element of a multimodal human-computer interface called LipMouse. This solution allows a user to work on a computer using lip movements and gestures. A user face is detected in a video stream from a standard web camera using a cascade of boosted classifiers working with Haar-like features....

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  • RDF dataset profiling - a survey of features, methods, vocabularies and applications

    Publikacja
    • M. B. Ellefi
    • B. Zohra
    • J. G. Breslin
    • E. Demidova
    • S. Dietze
    • K. Todorov
    • J. Szymański

    - Semantic Web - Rok 2018

    The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related...

  • International Cross-Domain Conference for Machine Learning and Knowledge Extraction

    Konferencje

  • Signals features extraction in radioisotope liquid-gas flow measurements using wavelet analysis

    Publikacja

    - EPJ Web of Conferences - Rok 2019

    Knowledge of the structure of a flow is significant for the proper conduct of a number of industrial processes. In this case, a description of a two-phase flow regimes is possible by use of the time-series analysis in time, frequency and state-space domain. In this article the Discrete Wavelet Transform (DWT) is applied for analysis of signals obtained for water-air flow using gamma ray absorption. The presented method was illustrated...

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