Naslov
An Ontology-Based Approach to Information Retrieval

Autori
Meštrović, Ana ; Calì, Andrea

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Semanitic Keyword-based Search on Structured Data Sources / Andrea, Calì ; Dorian, Gorgan ; Martin, Ugarte - Cham : Springer, 2017, 150-156

ISBN
978-3-319-53639-2

Skup
Second International KEYSTONE Conference, IKC 2016

Mjesto i datum
Cluj-Napoca, Rumunjska, 08.09.2016. - 09.09.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
information retrieval ; vector space model ; ontology

Sažetak
We define a general framework for ontology- based information retrieval (IR). In our approach, document and query expansion rely on a base taxonomy that is extracted from a lexical database or a Linked Data set (e.g. WordNet, Wiktionary etc.). Each term from a document or query is modelled as a vector of base concepts from the base taxonomy. We define a set of mapping functions which map multiple ontological layers (dimensions) onto the base taxonomy. This way, each concept from the included ontologies can also be represented as a vector of base concepts from the base taxonomy. We propose a general weighting schema which is used for the vector space model. Our framework can therefore take into account various lexical and semantic relations between terms and concepts (e.g. synonymy, hierarchy, meronymy, antonymy, geoproximity, etc.). This allows us to avoid certain vocabulary problems (e.g. synonymy, polysemy) as well as to reduce the vector size in the IR tasks.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA