| Title |
Leveraging predicate-argument structures for knowledge extraction and searchable representation using RDF / |
| Authors |
Vileiniskis, Tomas ; Butkiene, Rita |
| DOI |
10.18178/ijke.2020.6.1.128 |
| Full Text |
|
| Is Part of |
International journal of knowledge engineering.. [Singapore] : [IJKE]. 2020, vol. 6, iss. 1, p. 30-34.. ISSN 2382-6185 |
| Keywords [eng] |
semantic search ; knowledge graphs ; RDF ; semantic role labeling |
| Abstract [eng] |
Predicate-argument structures are best known as means to represent shallow semantics behind natural language sentences by employing semantic role labeling (SRL) technique. The latter serves as foundation for complex tasks like question answering, text summarization, plagiarism detection and others. In this paper we show how SRL and semantic web technology can be used to build a knowledge graph from open-domain natural language texts with the main goal of enabling semantically-flavored information retrieval on top of the resulting knowledge base. In particular, we propose a domain-agnostic ontology schema capable of capturing event-oriented knowledge and a modification of breadth-first search graph traversal algorithm for serving users information needs. Finally, we evaluate behavior of the whole framework by annotating part of WikiQA dataset and use the constructed knowledge graph to judge information retrieval effectiveness which shows promising results. |
| Published |
[Singapore] : [IJKE] |
| Type |
Journal article |
| Language |
English |
| Publication date |
2020 |
| CC license |
|
