Fahad Khan

Converting the PAROLE SIMPLE CLIPS lexicon into RDF with lemon

This paper describes the publication and linking of (parts of) PAROLE SIMPLE CLIPS (PSC), a large scale Italian lexicon, to the Semantic Web and the Linked Data cloud using the lemon model. The main challenge of the conversion is discussed, namely the reconciliation between the PSC semantic structure which contains richly encoded semantic information, following the qualia structure of the Generative Lexicon theory and the lemon view of lexical sense as a reified pairing of a lexical item and a concept in an ontology. The result is two datasets: one consists of a list of lemon lexical entries with their lexical properties, relations and senses; the other consists of a list of OWL individuals representing the referents for the lexical senses. These OWL individuals are linked to each other by a set of semantic relations and mapped onto the SIMPLE OWL ontology of higher level semantic types.

Using SWRL Rules to Model Noun Behaviour in Italian

In this article we describe our ongoing attempts to use the Semantic Web Rule Language (SWRL) to model the morphological layer of a wide-coverage Italian lexical resource, Parole-Simple-Clips (PSC); in this case that subset of PSC dealing with Italian noun morphology. After giving a brief introduction to SWRL and to Italian noun morphology we go onto describe the actual transformation itself. Finally we describe an experiment on our dataset using SWRL rules and queries written in the Semantic Query-Enhanced Rule Web Language (SQWRL).

Restructuring a Taxonomy of Literary Themes and Motifs for More Efficient Querying

In this paper we describe ongoing work in the restructuring of a tagset originally organised as a taxonomy and used to annotate literary themes and motifs in a corpus of classical works of poetry from a number of different traditions. We show how such a tagset can be rendered more efficient and useful through the appropriation of ideas and techniques from lexical semantics and ontology design. The newly redesigned tagset is described with examples showing how the new design is much more expressive than the old taxonomy; furthermore, an example query is described in order to demonstrate how more refined semantic searches can be carried using the new version of the taxonomy. The final result is, we hope, a resource that will be useful not only for the specific project for which it was developed but one that is well-designed and well-documented enough to be of use for other similar semantic annotation tasks. DOI: http://dx.doi.org/10.14195/2182-8830_4-2_1