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Natural Language Interaction with Semantic Web Knowledge Bases and Linked Open Data

Kapitel i bok
Författare Mariana Damova
Dana Dannélls
Maria Mateva
Ramona Enache
Aarne Ranta
Publicerad i Towards multilingual Semantic Web
Sidor 211-226
ISBN 978-3-662-43585-4
Förlag Springer
Förlagsort Berlin
Publiceringsår 2014
Publicerad vid Institutionen för svenska språket
Institutionen för data- och informationsteknik (GU)
Institutionen för data- och informationsteknik, datavetenskap (GU)
Sidor 211-226
Språk en
Länkar dx.doi.org.10.1007/978-3-662-43585-...
Ämnesord CIDOC-CRM, Cultural Heritage, Functional programming, Grammatical Framework, Information Retrieval, Natural Language Gen- eration, Natural Language Understanding, Ontology, Ontology Mapping, OWLIM, Question Answering, Reason-able View, Semantic Web, SPARQL.
Ämneskategorier Språkteknologi (språkvetenskaplig databehandling)

Sammanfattning

Cultural heritage appears to be a very useful use case for Semantic Web technologies. The domain provides with plenty of circumstances where linkages between different knowledge sources are required to ensure access to rich information and respond to the needs of professionals dealing with cultural heritage content. Semantic Web technologies offer the technological backbone to meet the requirement of integrating heterogeneous data easily, but they are still more adapted to be consumed by computers than by humans, especially non-engineers or developers. This chapter is about a technique which allows interaction in natural language with semantic knowledge bases. The proposed technique offers a method that allows querying a semantic repository in natural language and obtaining results from it as a coherent text. This unique solution includes several steps of transition from natural language to SPARQL and from RDF to coherent multilingual descriptions, using the Grammatical Framework, GF. The approach builds on a semantic knowledge infrastructure in RDF, it is based on OWLIM-SE and the data integration method Reason-able View supplied with an ontological reference layer. The latter is connected via formal rules with abstract representations derived from the syntactic trees of natural language input using the GF resource grammar library.

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