Web Resource Sense Disambiguation in Web of Data
Farzam Matinfar (University of Isfahan, Iran)
Mohammadali Nematbakhsh (University of Isfahan, Iran)
Georg Lausen (Albert-Ludwigs-Universität, Germany)
Abstract: This paper introduces the use of WordNet as a resource for RDF web resources sense disambiguation in Web of Data and shows the role of designed system in interlinking datasets in Web of Data and word sense disambiguation scope. We specify the core labelling properties in semantic web to identify the name of entities which are described in web resources and use them to identify the candidate senses for a web resource. Moreover, we define the web resource's context to identify the most appropriate sense for each of the input web resources. Evaluation of the system shows the high coverage of the core labelling properties and the high performance of the sense disambiguation algorithm.
Keywords: interlinking, linked data, semantic web, word sense disambiguation
Categories: H.3.1, H.3.3, M.7