A core ontology is a mid-level ontology which bridges the gap between an upper ontology and a domain ontology. Automatic Chinese core ontology construction can help quickly model domain knowledge. A graph based core ontology construction algorithm (COCA) is proposed to automatically construct a core ontology from an English-Chinese bilingual term bank. This algorithm computes the mapping streng...

This study developed an application ontology related to the medical tourism supply chain domain (MTSC). The motivation for developing is that current MTSC studies use a descriptive approach provide knowledge, which difficult comprehend and apply. formalization of knowledge can stakeholders with shared understanding business. As result, requires efficient semantic representation. Ontology popula...

In online learning systems, tagging knowledge points for questions is a fundamental task. Automatic technology uses intelligent algorithms to automatically tag reduce manpower and time costs. However, the current point cannot satisfy situation that mathematics often involve variable number of points, lacks consideration characteristics field, ignores internal connection between points. To addre...

Recording and documenting human AI-driven normative decision-making processes has so far been highly challenging. We focus on the challenge of coordination: process by which stakeholders in a community understand agree what norms they abide by. Our aim is to develop formalize FLINT language, allows high-level description systems. enables legal experts norms, while also serving as basis for tech...

we tried to increase semantic in the visual stock information system. Firstly, the semantic entity-relation model was given after studying the contents in visual stock information system and the hierarchical classification was shown. Then, semantic metadata and visual ontology was designed. For the implementation of VSIS, ontology reuse was considered which included ontology reuse model, the re...