OntoMap: Upper-Ontology Service Agent

Arxiv preprint cmp-lg/9809002, 1998

Frontiers in Artificial Intelligence and Applications

Controlled natural languages (mostly English-based) recently have emerged as seemingly informal supplementary means for OWL ontology authoring, if compared to the formal notations that are used by professional knowledge engineers. In this paper we present by examples controlled Latvian language that has been designed to be compliant with the state of the art Attempto Controlled English. We also discuss relation with controlled Lithuanian language that is being designed in parallel.

A Natural Language Processing Perspective, 2010

ABSTRACT The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used models in semantic technologies, have much in common with the lexicon. A lexicon organizes words as a conventional inventory of concepts, while an ontology formalizes concepts and their logical relations. A shared lexicon is the prerequisite for knowledge-sharing through language, and a shared ontology is the prerequisite for knowledge-sharing through information technology. In building models of language, computational linguists must be able to accurately map the relations between words and the concepts that they can be linked to. This book focuses on the technology involved in enabling integration between lexical resources and semantic technologies. It will be of interest to researchers and graduate students in NLP, computational linguistics, and knowledge engineering, as well as in semantics, psycholinguistics, lexicology and morphology/syntax.

2012

The PAROLE/SIMPLE 'LexInfo' Ontology and Lexicon are the OWL/RDF version of the PAROLE & SIMPLE lexicons (defined during the PAROLE (LE2-4017) and SIMPLE (LE4-8346) IV FP EU projects) once mapped to LexInfo model. Original PAROLE/SIMPLE lexicons contain morphological, syntactic and semantic information, organized according to a common model and to common linguistic specifications for 12 European languages. The data set we describe includes the common PAROLE/SIMPLE model mapped to LexInfo ontology and the Spanish & Catalan lexicons. All data are published in the Data Hub and are distributed under CC Attribution 3.0 Unported licence. The Spanish lexicon contains 199466 triples and 7572 lexical entries fully annotated with syntactic and semantic information. The Catalan lexicon contains 343714 triples and 20545 lexical entries annotated with syntactic information half of which are also annotated with semantic information. In this paper we briefly describe the resulting data, th...

Ldv Forum, 2009

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Following a concise description of the structure, the paper focuses on the potential of the Ontology of the Bulgarian Dialects, which demonstrates a novel usage of the ontological modelling for the purposes of dialect digital archiving and information processing. The ontology incorporates information on the dialects of the Bulgarian language and includes data from 84 dialects, spoken not only on the territory of the Republic of Bulgaria, but also abroad. It encodes both their geographical distribution and some of their main diagnostic features, such as the different mutations (also referred to as reflexes) of some of the Old Bulgarian vowels. The mutations modelled so far in the ontology include the reflex of the back nasal vowel /ѫ/ under stress, the reflex of the back er vowel /ъ/ under stress, and the reflex of the yat vowel /ѣ/ under stress when it precedes a syllable with a back vowel. Besides the opportunity for formal structuring of the considerable amount of data gathered through the years by dialectologists, the ontology also provides numerous possibilities for information retrieval-searches by dialect, country, dialect region, city or village, various combinations of diagnostic features.

Proceedings of OntoLex …, 2007

A common conceptual infrastructure is crucial for multilingual language processing and documentation. Global Wordnet (GWN) was proposed as the common infrastructure for linguistically motivated conceptual representations for all languages. Two critical issues in this line of research are: the scarcity of lexical semantic information (especially from endangered languages), and the lack of a shared conceptual core as the basis of multilingual conceptual representation. In this paper, we elaborate and formalize the proposal to build a shared core common ontology based on the Swadesh list as a solution to tackle with these two critical issues. Comparing Swadesh lists from different languages allowed us to build a small shared ontology that reflects direct human experience, and can serve as the cross-lingual conceptual core. These micro-ontologized lexicons can be used as seeds for developing a fully-grown and more comprehensive documentation of linguistically motivated ontology for each language. In terms of formalization, we propose that SUMO+MILO has the appropriate level of abstractness and coverage for mapping from basic lexicon to formal ontology.

2011

This paper implements the first process of the task ontology of a dynamic semantic ontological framework (MODS) for the Semantic Web, presented in , which is the lexical-morphological analysis. MODS is an interpreter of natural language queries to the semantic web. For its implementation, we design and develop a lexicalmorphological analysis, which interacts with the lexicon, as well as the MODS learning component, which updates dynamically the lexicon in the case that a lexical component is not present in it. In this paper is presented the process of lexical-morphological analysis as part of the task ontology of the MODS.

… of the 12th international conference on …, 2000