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A Framework for Improved Access to Museum Databases in the Semantic Web

Conference paper
Authors Dana Dannélls
Mariana Damova
Ramona Enache
Milen Chechev
Published in Language Technologies for Digital Humanities and Cultural Heritage (RANLPDigHum 2011)
Pages 3-10
ISBN 978-954-452-019-9
Publication year 2011
Published at Department of Swedish
Department of Computer Science and Engineering (GU)
Pages 3-10
Language en
Links www.aclweb.org/anthology-new/W/W11/...
Keywords Ontology, Grammatical Framework, Semantic Web, Linked Data
Subject categories Language Technology (Computational Linguistics)

Abstract

Digital museum databases have extremely heterogeneous data structures which require advanced mapping and vocabulary integration for them to benefit from the interoperability enabled by semantic technologies. In addition to establishing ways of extracting and manipulating digitally encoded cultural material, there exists a need to make this material available and accessible to human users in different forms and languages that are available to them. In this paper we describe a method to manage and access museum data by integrating it within a series of interlinked ontological models. The method allows querying and generation of query results in natural language. We report on the results of applying this method from experiments we have been pursuing.

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