Work

Linking IMAGACT ontology to BabelNet through action videos

Year: 2016

Type: conference-paper

Abstract: Herein we present a study dealing with the linking of two multilingual and multimedia resources, BabelNet and IMAGACT, which seeks to connect videos contained in the IMAGACT Ontology of Actions with related action concepts in BabelNet. The linking is based on a machine learning algorithm that exploits the lexical information of the two resources. The algorithm has been firstly trained and tested on a manually annotated dataset and then it was run on all the data, allowing to connect 773 IMAGACT action videos with 517 BabelNet synsets. This linkage aims to enrich BabelNet verbal entries with a visual representations and to connect the IMAGACT ontology to the huge BabelNet semantic network.

Source: Accademia University Press eBooks

DOI: 10.4000/books.aaccademia.1785

Authors: Lorenzo Gregori, Alessandro Panunzi, Andrea Amelio Ravelli

Institution: University of Florence

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Università degli Studi di Napoli Federico II

OpenAlex ID: W2575606482

FWCI: 0.648

Cites: 4

Cited by: 5

Related to: 10