Aurawan Imsombut

Dhurakij Pundit University · Faculty of Information Technology

A flight attendant has an irregular working schedule that requires to travel across different time zones, which affects their circadian rhythms and challenges the body to resynchronize with the local environment of the destination. Since human capabilities are considered critical factors that have an impact on safety in aviation, an accumulation of...

Enriching instances into an ontology is an important task because the process extends knowledge in ontology to cover more extensively the domain of interest, so that greater benefits can be obtained. There are many techniques to classify instances of concepts with two popular techniques being the statistical and data mining methods. The paper compa...

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 sha...

Semantic relations are an important component of ontologies that can support many applications e.g. text mining, question answering, and information extraction. Automatic semantic relation extraction system is a crucial tool that can reduce the bottleneck of knowledge acquisition in the ontologies construction. In this paper, we present a statistic...

This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on which we identify taxonomic relations with the help of cues: lexico-syntactic patterns and item lists. The main advantage of the approach is that it simplify the task of conc...

An ontological knowledge management system requires dynamic and encapsulating operation in order to share knowledge among communities. The key to success of knowledge sharing in the field of agriculture is using and sharing agreed terminologies such as ontological knowledge especially in multiple languages. This paper proposes a workbench with thre...

AGROVOC is a multilingual thesaurus developed and maintained by the Food and Agricultural Organization of the United Nations. Like all thesauri, it contains some explicit semantics, which allow it to be transformed into an ontology or used as a resource for ontology construction. However, most thesauri, AGROVOC included, give very broad relationshi...

Ontology is a collection of concepts and their interrelationships, which provide an essential resource to enhance the performance of Information Processing system. Creating ontology by the expert is an expensive task and it is endless task for ontology maintenance since its content relies on user requirement. It is also the fact that information in...

The critical issue in ontology construction is to extract concepts and identify ontological relations both in taxonomic and other semantic relations. In large and various domains, this task can be time-consuming and costly. In this paper, we propose the methodology to discover semantic relations embedded in Thai NPs in order to enrich the existing...

Ontology is an essential resource to enhance the performance of Information Processing system such as information integration, document classification in taxonomies, including information retrieval and data cleaning in database system. This paper proposes three methodologies for Automatic Thai Ontology Construction and Maintenance from technical co...