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Göteborgs universitets publikationer

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

Författare och institution:
Mariana Damova (-); Dana Dannélls (Institutionen för svenska språket); Maria Mateva (-); Ramona Enache (Institutionen för data- och informationsteknik (GU)); Aarne Ranta (Institutionen för data- och informationsteknik, datavetenskap (GU))
Publicerad i:
Towards multilingual Semantic Web, s. 211-226
Kapitel, refereegranskat
Sammanfattning (abstract):
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.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Data- och informationsvetenskap ->
Språkteknologi (språkvetenskaplig databehandling)
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.
Postens nummer:
Posten skapad:
2013-06-10 03:46
Posten ändrad:
2014-11-18 15:38

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