Data Mining and Deployment of Multilingual Iranian Cultural Thesaurus (ASFA) Dataset in the CRISP Framework.

Purpose: The Simple Knowledge Organization Sys tem (SKOS) is a widely used data model for sharing and linking knowledge organization sys tems on the web. It offers a cos t-effective way to migrate exis ting knowledge organization sys tems to the Semantic Web. To integrate ASFA into the Semantic Web, the ASFA dataset needs to be converted and deployed as an RDF graph based on SKOS. To achieve this, the records in ASFA's Iran MARC format mus t be reengineered. This s tudy aims to re-engineer the ASFA dataset using data mining in the CRISP framework and deploy it on the open-source platform Skosmos. Method: The s tudy used the developmental-applied type of research and employed the CRISP-D.M. methodology, unsupervised type, and hierarchical clus tering technique for data mining to s tart the project, we firs t needed to unders tand the business goal. This goal was to convert the ASFA dataset into the SKOS data model, creating an RDF graph. It was discovered that ASFA's heritage data comprises 1,880 records categorized into 18 fields, including education, literature, communication, economy, his tory, Sufism and mys ticism, sociology, geography, law, psychology, linguis tics, religion, political science, philosophy, technology, experimental science, librarianship and information, management, culture, and art. The data was prepared by identifying and correcting missing and outlier data and before s tarting the project, our team needed to fully comprehend the business's objective. The ultimate goal was to convert the ASFA dataset into the SKOS data model. This was done to better comprehend the business objective. Creating an RDF graph. The modeling s tage utilized the hierarchical clus tering technique macrocode in Excel to generate target feature values. The model was evaluated through a visual inspection technique and random sampling method. In the sixth s tep, Iran MARC data was converted to SKOS as an RDF graph using the SkosPlay tool, and the data was transferred to the Vocbench platform. ASFA Dataset was deployed on the Skosmos platform using the Turtle format. Findings: The main finding of this s tudy is the deployment and development of ASFA Dataset based on SKOS/RDF on the open source platform Skosmos at kosmos.nlai.ir. The total number of records increased to 11,880 records creating collection records for clus tering. One of the important findings during the data preparation s tage was the compilation of the mapping table between SKOS core elements and Iran MARC fields. Conclusion: By integrating s tages of methodologies used in the literature review within the CRISP framework, an innovative method was developed for converting thesauri into a lightweight ontology based on SKOS/RDF graph format. [ABSTRACT FROM AUTHOR]