Occupational information defines the characteristic factors of each occupation. This paper discovers the semantic relations between occupations through the analysis of the character- istic factors of the occupation and discusses the factors that make up the occupation.

In a project "Research and development of work training and support system based on cognitive interaction support technologies integrating with artificial intelligence," cognitive interactions in various service fields must be measured to generate contents for training support. Concurrently with the measurement, an interoperability among the measured data is one of the major research topics. In this paper, as a preliminary investigation, we consider how we should express the heterogeneous data of cognitive interactions. We employed one movie data from the database "Behavior Library", as an example, to clarify the way to express cognitive interactions.

Wikipedia is a largest online encyclopedia that covers varieties of topics using struc- tured documents (e.g., infobox for describing metadata, and classication using Wikipedia cate- gory). There are several efforts to extract structured knowledge, such as DBpedia, YAGO2, and Japanese Wikipedia ontology. However, it was not used in consideration of the characteristics of the Wikipedia category. So far, we have analyzed and organized the Wikipedia category. In this study, We make a Japanese Wikipedia ontology from the rearranged Wikipedia categories, in publishing as LinkedOpenData, we will report what we have defined and consider future use.