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Towards the Multilingual Semantic Web - Principles, Methods and Applications (Hardcover, 2014 ed.)
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Towards the Multilingual Semantic Web - Principles, Methods and Applications (Hardcover, 2014 ed.)
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To date, the relation between multilingualism and the Semantic Web
has not yet received enough attention in the research community.
One major challenge for the Semantic Web community is to develop
architectures, frameworks and systems that can help in overcoming
national and language barriers, facilitating equal access to
information produced in different cultures and languages. As such,
this volume aims at documenting the state-of-the-art with regard to
the vision of a Multilingual Semantic Web, in which semantic
information will be accessible in and across multiple languages.
The Multilingual Semantic Web as envisioned in this volume will
support the following functionalities: (1) responding to
information needs in any language with regard to semantically
structured data available on the Semantic Web and Linked Open Data
(LOD) cloud, (2) verbalizing and accessing semantically structured
data, ontologies or other conceptualizations in multiple languages,
(3) harmonizing, integrating, aggregating, comparing and
repurposing semantically structured data across languages and (4)
aligning and reconciling ontologies or other conceptualizations
across languages. The volume is divided into three main sections:
Principles, Methods and Applications. The section on "Principles"
discusses models, architectures and methodologies that enrich the
current Semantic Web architecture with features necessary to handle
multiple languages. The section on "Methods" describes algorithms
and approaches for solving key issues related to the construction
of the Multilingual Semantic Web. The section on "Applications"
describes the use of Multilingual Semantic Web based approaches in
the context of several application domains. This volume is
essential reading for all academic and industrial researchers who
want to embark on this new research field at the intersection of
various research topics, including the Semantic Web, Linked Data,
natural language processing, computational linguistics, terminology
and information retrieval. It will also be of great interest to
practitioners who are interested in re-examining their existing
infrastructure and methodologies for handling multiple languages in
Web applications or information retrieval systems.
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