Authors:

Bettina Klimek, John McCrae, Maxim Ionov, James K. Tauber, Christian Chiarcos, Julia Bosque-Gil, Paul Buitelaar

Publication Type:

Refereed Conference Meeting Proceeding

Abstract:

Recent years have experienced a growing trend in the publication of language resources as Linguistic Linked Data (LLD) to enhance their discovery, reuse and the interoperability of tools that consume language data. To this aim, the OntoLex-lemon model has emerged as a de-facto standard to represent lexical data on the Web. However, traditional dictionaries contain a considerable amount of morphological information which is not straightforwardly representable as LLD within the current model. In order to fill this gap a new Morphology Module of OntoLex-lemon is currently developed. This papers presents the results of this model as on-going work as well as the underlying challenges that emerged during the module development. Based on the MMoOn Core ontology, it aims to account for a wide range of morphological information, ranging from endings to derive whole paradigms to the decomposition and generation of lexical entries which is in compliance to other OntoLex-lemon modules and facilitates the encoding of complex morphological data in ontology lexicons

Conference Name:

Sixth Biennial Conference on Electronic Lexicography, eLex 2019

Digital Object Identifer (DOI):

10.5281/zenodo.3518946

Publication Date:

03/10/2019

Conference Location:

Portugal

Research Group:

Linked Data

Institution:

National University of Ireland, Galway (NUIG)

Open access repository:

Yes

Publication document:

Towards Electronic Lexicography for the Kurdish Language