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SOFT ONTOLOGIES AND SIMILARITY CLUSTER TOOLS TO FACILITATE EXPLORATION AND DISCOVERY OF CULTURAL HERITAGE RESOURCES Aviles Collao, J., Diaz-Kommonen, L., Kaipainen, M., Pietarila, J., University of Art and Design Helsink
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Document Date: 2011-09-09 18:19:44


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City

Berlin / L.A. / /

Company

Telcordia Technologies Inc. / /

Country

Sweden / /

Facility

University of Tennessee / Museum Informatics Europe / Carta Marina / University of Art / /

IndustryTerm

search parameters / analytical processing / interface solutions / visualization tools / methods and tools / software tool / exploratory search / self-organizing algorithm / diverse applications / unsupervised neural networks / similarity-based exploratory search / navigation tools / artificial neural networks / Pre-processing / /

OperatingSystem

UNIX / DOS / /

Organization

Society for Information Science / Department of Computer Science / University of Tennessee / University of Art and Design Helsinki / Self-Organizing Map / /

Position

author / bishop / researcher / representative / General / curator / /

ProvinceOrState

Tennessee / /

Region

Nordic countries / /

Technology

promising algorithm / Self-Organizing Map algorithm / LSI algorithm / neural network / UNIX / SOM algorithm / Optical Character Recognition / self-organizing algorithm / computed using the Self-Organizing Map algorithm / /

SocialTag