جستجوی مقالات مرتبط با کلیدواژه "علوم تربیتی" در نشریات گروه "کتابداری و مدیریت اطلاعات"

The aim of the present study is to reconcile the dual embodiment of ontology and folksonomy and establish a symbiotic relationship between the two technologies for the development of folksonomized ontology as a tool for organizing information in the fields of psychology and educational sciences in cyberspace. This study is of an applied nature and utilizes a combined research method. To gain conceptual knowledge and develop a semi-automated ontology based on natural language (common labels), the three-step method proposed by Alves and Santanche (extraction, enrichment, and synthesis) (2013) is utilized, along with Noy and McGuinness's approach (2001). The statistical population refers to the labels used by students of psychology and educational sciences in the digital library of Allameh Tabatabai University. The purposive sampling method is used to select and aggregate specific labels. Additionally, to evaluate the credibility and validity of the extracted concepts and relationships, they are reviewed and confirmed by 15 experts in the fields of psychology and educational sciences. The software used to create the ontology is Protégé version 5.5. A total of 15,787 labels were extracted. After identifying the fundamental concepts and their interrelationships using the Eric database, a conceptual framework with an ontological approach was developed. After confirming and validating the conceptual structure, an ontology based on folksonomy is presented as the main research finding. It consists of 277 classes and subclasses, 110 relation types, 50 samples, and 9 synonyms taken from the Eric database, and is illustrated in several graphs. Based on the statistical test performed on the ontology derived from folksonomy with a significance level of 0.0005, the model has been proven to be relatively accurate, and all components have been confirmed by experts. Folksonomies are "user-generated ontologies" within the Semantic Web. Leveraging the structural distinctions between folksonomies and ontologies holds the potential to advance the Semantic Web without requiring a deep understanding of complex classification systems.

The purpose of the present study is to explore the impact of new coming terms on the structure of the recent editions thesauri compared to the previous ones. The case of this research is the 14th and 13th editions of ERIC Thesaurus. The finding's indicate that the new terms affect the structure of thesaurus in terms of omission, change, or addition of the terms interrelations. But the highest Impact occurs on the hierarchical relations. The final results show that there can be found no correlation between the quantity and complexity of the changes occurred.