Searcharxiv⌕ Search

arXiv subjects

C. Maria Keet

Publications and source records attributed to C. Maria Keet.

20 records · Page 2Linked to original sources

Toward verbalizing ontologies in isiZulu

IsiZulu is one of the eleven official languages of South Africa and roughly half the population can speak it. It is the first (home) language for over 10 million people in South Africa. Only a few computational resources exist for isiZulu and its related Nguni languages, yet the imperative for tool development exists. We focus on natural language generation, and the grammar options and preferences in particular, which will inform verbalization of knowledge representation languages and could contribute to machine translation. The verbalization pattern specification shows that the grammar rules are elaborate and there are several options of which one may have preference. We devised verbalization patterns for subsumption, basic disjointness, existential and universal quantification, and conjunction. This was evaluated in a survey among linguists and non-linguists. Some differences between linguists and non-linguists can be observed, with the former much more in agreement, and preferences depend on the overall structure of the sentence, such as singular for subsumption and plural in other cases.

cs.CL↗

Mapping the Object-Role Modeling language ORM2 into Description Logic language DLRifd

In recent years, several efforts have been made to enhance conceptual data modelling with automated reasoning to improve the model's quality and derive implicit information. One approach to achieve this in implementations, is to constrain the language. Advances in Description Logics can help choosing the right language to have greatest expressiveness yet to remain within the decidable fragment of first order logic to realise a workable implementation with good performance using DL reasoners. The best fit DL language appears to be the ExpTime-complete DLRifd. To illustrate trade-offs and highlight features of the modelling languages, we present a precise transformation of the mappable features of the very expressive (undecidable) ORM/ORM2 conceptual data modelling languages to exactly DLRifd. Although not all ORM2 features can be mapped, this is an interesting fragment because it has been shown that DLRifd can also encode UML Class Diagrams and EER, and therefore can foster interoperation between conceptual data models and research into ontological aspects of the modelling languages.

cs.LO↗