جستجوی مقالات مرتبط با کلیدواژه "اصطلاحنامه اصفا" در نشریات گروه "کتابداری و مدیریت اطلاعات"

The Simple Knowledge Organization System (SKOS) is a widely used data model for sharing and linking knowledge organization systems on the web. It offers a cost-effective way to migrate existing knowledge organization systems 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 must be re-engineered. This study aims to re-engineer the ASFA dataset using data mining in the CRISP framework and deploy it on the open-source platform Skosmos. 

The study used the developmental-applied type of research and employed the CRISP-D.M. methodology, unsupervised type, and hierarchical clustering technique for data mining to start the project, we first needed to understand 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, history, Sufism and mysticism, sociology, geography, law, psychology, linguistics, 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 starting 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 stage utilized the hierarchical clustering 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 step, 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.

The main finding of this study 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 clustering. One of the important findings during the data preparation stage was the compilation of the mapping table between SKOS core elements and Iran MARC fields.

By integrating stages 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.

AbstractThis study aimed to evaluate Philosophy Thesaurus of Research Center for Islamic Documents and Information Management according to ISO 25964 Standard (Part I & II) and also to examine the interoperability with other vocabulary control systems (ASFA Thesaurus and Persian Subject Headings). This research method was an applied survey in terms of purpose, and a survey-descriptive study in terms of data collection. The research population included the terms of Philosophy Thesaurus, which were selected 375 terms by using Morgan's table and random sampling method. The research population in the interoperability section was also the first six levels of the Philosophy Thesaurus with 85 terms. The tool and method of data collection was, respectively, a researcher-made checklist according to ISO 25964 standards and direct observation. The results showed that the compliance rate of ISO 25964 standard (part I) in the Philosophy Thesaurus is %75.52. The highest and lowest levels of compliance was related to the "software management" component (%79.34) and the "semantic relations" component (%66.66), respectively. The results of the interoperability of Philosophy Thesaurus with ASFA Thesaurus according to ISO 25964 standard (Part II) showed a %24.88 mapping, the highest of which was exact equivalence mapping (%49.41). Also, %42.47 of the terms has the possibility of automatic mapping. Interoperability with Persian Subject Headings was %89.41, the highest rate is related to exact equivalence mapping (%47.06). Also, %30 of the selected terms of the Philosophy Thesaurus can be automatically mapped with the terms of Persian Subject Headings. The interoperability in the thesaurus is an economical and efficient solution to save the high costs of producing and compiling and expanding the thesaurus. Also, paying attention to the rules of interoperability in accordance with the standards is the basis for data integration, and the user can achieve an efficient search with improvement precision and recall, regardless of the time, place, and type of database.