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Search results for: SEMANTIC CLUSTERING
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Search results for: SEMANTIC CLUSTERING

  • Development and Research of the Text Messages Semantic Clustering Methodology

    Publication

    - Year 2016

    The methodology of semantic clustering analysis of customer’s text-opinions collection is developed. The author's version of the mathematical models of formalization and practical realization of short textual messages semantic clustering procedure is proposed, based on the customer’s text-opinions collection Latent Semantic Analysis knowledge extracting method. An algorithm for semantic clustering of the text-opinions is developed,...

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  • Semantic OLAP with FluentEditor and Ontorion Semantic Excel Toolchain

    Publication

    - Year 2015

    Semantic technologies appear as a step on the way to creating systems capable of representing the physical world as real time computational processes. In this context, the paper presents a toolchain for an ontology based knowledge management system. It consists of the ontology editor, FluentEditor and the distributed knowledge representation system, Ontorion. FluentEditor is a comprehensive tool for editing and manipulating complex...

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  • Retrieval with Semantic Sieve

    Publication

    The article presents an algorithm we called Semantic Sieve applied for refining search results in text documents repository. The algorithm calculates socalled conceptual directions that enables interaction with the user and allows to narrow the set of results to the most relevant ones. We present the system where the algorithm has been implemented. The system also offers in the presentation layer clustering of the results into...

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  • Categorization of Wikipedia articles with spectral clustering

    Abstract. The article reports application of clustering algorithms for creating hierarchical groups withinWikipedia articles.We evaluate three spectral clustering algorithms based on datasets constructed with usage ofWikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.

  • Categorization of Cloud Workload Types with Clustering

    The paper presents a new classification schema of IaaS cloud workloads types, based on the functional characteristics. We show the results of an experiment of automatic categorization performed with different benchmarks that represent particular workload types. Monitoring of resource utilization allowed us to construct workload models that can be processed with machine learning algorithms. The direct connection between the functional...

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  • Semantic Memory for Avatars in Cyberspace

    Publication

    - Year 2005

    Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge representation for semantic memory is based on the Concept Description Vectors (CDVs) that store, for each concept, an information whether a given property can be applied to this concept or not. Unfortunately large-scale semantic memories are not available....

  • Semantic web services in L2L.

    Publication

    Ogromnym problemem współpracy istniejących bibliotek cyfrowych w kontekście używanych protokołów jest albo ograniczenie funkcjonalności systemu albo łamanie istniejących standardów komunikacji powodując utratę możliwości kooperacji z wieloma systemami. Technologia semantycznych usług sieciowych może zmienić tę sytuację przez umożliwienie komunikacji z usługą bez wcześniejszej znajmości protokołu stosowanego przez bibliotekę. W...

  • Clustering Bathymetric Data for Electronic Navigational Charts

    Publication

    - JOURNAL OF NAVIGATION - Year 2016

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  • Agent-Based Non-distributed and Distributed Clustering

    Publication

    - Year 2009

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  • Clustering Context Items into User Trust Levels

    An innovative trust-based security model for Internet systems is proposed. The TCoRBAC model operates on user profiles built on the history of user with system interaction in conjunction with multi-dimensional context information. There is proposed a method of transforming the high number of possible context value variants into several user trust levels. The transformation implements Hierarchical Agglomerative Clustering strategy....

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