Analisa Keterhubungan Ontology Pada Web Semantik Menggunakan Instance-Based Ontology Matching

ABSTRAKSI: Web semantik memungkinkan data tidak hanya dapat dimengerti oleh manusia sebagai pembaca tetapi juga agar bisa diproses dan dimengerti oleh mesin atau komputer. Ontology merupakan teknologi pada web semantik yang memungkinkan hal tersebut dapat terjadi. Ontology mendeskripsikan data pada web dan keterhubungan antar data pada web. Heterogenitas merupakan masalah yang paling umum terjadi pada ontology di web semantik, misalnya terdapat dua ontology dengan nama yang berbeda, ontology tersebut memiliki struktur yang berbeda atau didefinisikan dengan cara yang berbeda padahal kedua ontology tersebut mendeskripsikan domain pengetahuan yang sama. Ontology matching merupakan proses untuk membandingkan dua ontology dan menemukan keterhubungan diantara kedua ontology tersebut. Ontology matching bertujuan untuk mengurangi masalah heterogenitas pada ontology. Salah satu teknik yang digunakan pada ontology matching untuk menyelesaikan masalah heterogenitas adalah Instance-based ontology matching (IBOM). Teknik Instance-based ontology matching yang digunakan dalam tugas akhir ini dipengaruhi oleh parameter Top N dan Similarity Threshold yang berperan pada proses Instance enrichment. Kombinasi kedua parameter ini memberikan hasil yang optimal terhadap performansi proses ontology matching. Instance-based ontology matching memanfaatkan jumlah Instance beserta informasinya yang berjumlah banyak sehingga proses ontology matching menghasilkan hasil yang akurat dalam menentukan keterhubungan dua buah ontology.Kata Kunci : web semantik, ontology, ontology matching, heterogenitas, Instance-based ontology matching, Instance enrichmentABSTRACT: The Semantic web allows the data not only to be understood by humans but also in order to be processed and understood by computers. Ontology is semantic web technology that allows it happen. Ontology describes data and relations between data on the web. heterogeneity is a problem that most commonly occurs in ontology on the semantic web, for example there are two ontologies with different names, different structure or defined in different ways although both of them describe the same knowledge. As problem shown up, there found Ontology matching, which is a process for comparing two ontologies and finding the relationship between the two ontologies. Ontology matching aims to reduce heterogeneity problem in ontology. One of the techniques used to solve the problem of heterogeneity is Instance-based ontology matching (IBOM). The IBOM techniques used in this final project is influenced by Top N and Similarity Threshold parameters which contributes in Instance enrichment process. The combination of these two parameters provide optimal results of the performance of ontology matching process. The IBOM uses the instance with its large number of information so that the processs of ontology matching produces accurate results to determine the relations between the two ontology.Keyword: semantic web, ontology, ontology matching, heterogeneity, Instance-based ontology matching, Instance enrichmen

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