In this paper we consider the problem of retrieving the concepts of an ontology that are most relevant to a given textual query. In our setting the concepts are associated with textual fragments, such as labels, descriptions, and links to other relevant concepts. The main task to be solved is the definition of a similarity measure between the single text of the query and the set of texts associated with an ontology.

Exploring an ontology via text similarity: an experimental study

Elena Cardillo;
2014

Abstract

In this paper we consider the problem of retrieving the concepts of an ontology that are most relevant to a given textual query. In our setting the concepts are associated with textual fragments, such as labels, descriptions, and links to other relevant concepts. The main task to be solved is the definition of a similarity measure between the single text of the query and the set of texts associated with an ontology.
2014
Istituto di informatica e telematica - IIT
Inglese
Proceedings of the 3rd International Workshop on Intelligent Exploration of Semantic Data (IESD 2014)
13th International Semantic Web Conference (ISWC 2014)
1279
CEUR-WS
dal 19/10/2014 al 23/10/2014)
Riva del Garda, Italia
Nazionale
Application Ontology, Individualized Education Plan, Semantic Resources, Text Similarity
5
open
Mirylenka, Daniil; Rospocher, Marco; Donadello, Ivan; Cardillo, Elena; Serafini, Luciano
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/266206
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