Paper Info
Title
FootbOWL: using a generic ontology of football competition for planning match summaries
Abstract
We present a two-layer OWL ontology-based Knowledge Base (KB) that allows for flexible content selection and discourse structuring in Natural Language text Generation (NLG) and discuss its use for these two tasks. The first layer of the ontology contains an applicationindependent base ontology. It models the domain and was not designed with NLG in mind. The second layer, which is added on top of the base ontology, models entities and events that can be inferred from the base ontology, including inferable logico-semantic relations between individuals. The nodes in the KB are weighted according to learnt models of content selection, such that a subset of them can be extracted. The extraction is done using templates that also consider semantic relations between the nodes and a simple user profile. The discourse structuring submodule maps the semantic relations to discourse relations and forms discourse units to then arrange them into a coherent discourse graph. The approach is illustrated and evaluated on a KB that models the First Spanish Football League.
Year
DOI
Venue
2011
10.1007/978-3-642-21034-1_16
ESWC (1)
Keywords
Field
DocType
generic ontology,football competition,base ontology,discourse relation,match summary,flexible content selection,discourse structure,content selection,forms discourse unit,applicationindependent base ontology,models entity,coherent discourse graph,semantic relation,natural language,knowledge base
Ontology (information science),Ontology-based data integration,Discourse relation,Ontology,Process ontology,Computer science,Ontology Inference Layer,Natural language processing,Artificial intelligence,Upper ontology,Web Ontology Language
Conference
Citations 
PageRank 
References 
9
0.82
16
Authors
5
Name
Order
Citations
PageRank
Nadjet Bouayad-Agha120620.28
Gerard Casamayor212112.47
Leo Wanner338965.54
Fernando Díez419011.00
Sergio López Hernández5161.38