خلاصة:
The purpose of this empirical quantitative study is the measurement and evaluation of the relations between structural domains, including simple and complex structure of concepts and semantic relations. Our scientific guess is that there is a significant relation between the structure of concepts and the number of semantic relations. Moreover, there is the lack of investigation on assessing the behavioral interaction between structural domains to improve information retrieval (IR ( performance for achieving cognitive results to generate theoretical argument. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data is selected from a complex and authoritative agricultural ontology (i.e., VocBench). Sample size out of 40000 concepts is around 1500 concepts, which were collected via stratified random sampling. The data analysis results were derived from SPSS and Excel software which employed proportional and inferential analysis. The expected relation is that an increase in the numbers of simple concepts causes the increase of semantic relations and vice versa.
ملخص الجهاز:
(Ontology evaluation can measure three major issues (Obrst, Ashpole, Ceusters, Mani, Steve & Smith, 2007) which include structural, functional and usability-profiling (Gangemi, Catenacci, Ciaramita & Lehmann, 2006).
For the sake of this purpose, a specific method should operate in finding the relations between concept structure and semantic relations to realize their interactive behavior based on deductive and inductive logical reasoning to achieve cognitive results in generating theoretical arguments (Amirhosseini & Salim, 2011, 2019a, 2019b).
The related researches on concept structure, in general, focused on concepts description (Navigli, Velardi, Cucchiarelli, & Neri, 2004) and terminology mapping between concepts in ontology (Mayr, Petras & Walter, 2007) or the correspondence between concepts in two different ontologies in similar domains based on concept similarity (Liu, Barnaghi, Moessner & Liao, 2010; Jiratthitikul, 2014).
Moreover, regarding the relationship between concept and its relations, some methods were operated as designing weighted class dependent graphs (Kang, Xu, Lu & Chu, 2004), analyzing the string of path-to-term (Mungall, 2005), evaluating the complexity in semantic network (His, 2005; Zhang, Ye & Yang, 2006) in the ontology conceptual model (Mungall, 2005) and operating link analysis techniques and data mining algorithm (Furletti, 2009).
Consequently, the structural analysis of concepts and semantic relations and their interactional behavior are quantitatively evaluated based on a mixed-method of inductive and deductive approach to achieve cognitive results.
- Comparing the Means between Simple and Complex Concepts and Semantic Relations In this section, the investigation tends to test the general hypothesis based on the deductive approach to achieve information about the second research objective.