A novel Framenet-based resource for the semantic web

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A novel Framenet-based resource for the semantic web is a 2012 conference paper written in English by Bryl V., Tonelli S., Giuliano C., Serafini L. and published in Proceedings of the ACM Symposium on Applied Computing.

[edit] Abstract

FrameNet is a large-scale lexical resource encoding information about semantic frames (situations) and semantic roles. The aim of the paper is to enrich FrameNet by mapping the lexical fillers of semantic roles to WordNet using a Wikipedia-based detour. The applied methodology relies on a word sense disambiguation step, in which a Wikipedia page is assigned to a role filler, and then BabelNet and YAGO are used to acquire WordNet synsets for a filler. We show how to represent the acquired resource in OWL, linking it to the existing RDF/OWL representations of FrameNet and WordNet. Part of the resource is evaluated by matching it with the WordNet synsets manually assigned by FrameNet lexicographers to a subset of semantic roles.

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