Ontology is a hierarchical structure belonging to specific concept which consists of main categories, topics and keyword terms in case of building for topic identification. However, the defined structure of ontology affects a relevant result of finding the topic. If ontology is not well defined one, this is difficult to find the topic by mapping nodes from ontology with the extracted keywords from the content. To get better performance, analyzing and defining the related keyword terms become one of the most significant process in building ontology. The existing complaints from “30 Bath Co-payment Scheme”, Thai governmental policy related to citizen health insurance, are used as the case study. This study presents complaint ontology which is built to collect topics and keyword terms which are extracted from real complaints and also adjusted from the existing one by using old structure in separating main category (officer’s guideline).
Ontology has been one of the hottest topic issues in artificial intelligence, knowledge engineering especially in information process. In this paper, we propose an ontology-driven information retrieval (IR) system used for mining the interesting patterns in the domain of customers' complaints of mobile communication services. As the primary research of ontology model itself is about concept, properties of concept, relations between concepts etc, out of question ontology model considers the semantic relationships of the rich document content. Therefore ontology-driven information retrieval system can conform to the thought mode of human being unlike the keyword-based system that ignores the semantic relationships between words. Applying the proposed IR system to the given domain can make the managers of mobile communication companies retrieve the customers' complaints information more precisely and hence make decisions more reasonably.
We prove that groups acting geometrically on delta-quasiconvex spaces contain no essential Baumslag-Solitar quotients as subgroups. This implies that they are translation discrete, meaning that the translation numbers of their nontorsion elements are bounded away from zero.