DOMAIN BASED WEB RETRIEVAL DRIVEN BY SEMANTIC REPRESENTATION OF PERSONAL KNOWLEDGE ORGANIZER

• Main Authors: Istiadi, Istiadi, Edi Nugroho, Lukito, Santosa, Paulus Insap
• Format: Article PeerReviewed
• Language: English
• Published: UTM Malaysia 2016
• Subjects: Adaptive Agents and Intelligent Robotics
• Online Access: https://repository.ugm.ac.id/274371/1/8766-24263-1-SM.pdf; https://repository.ugm.ac.id/274371/; http://dx.doi.org/10.11113/jt.v78.8766
• Institution: Universitas Gadjah Mada

One important aspect in self-directed learning is to find learning resources, which can be referenced from the Internet. In the process of finding the resources, users have experience in accessing certain sites for specific information. But, when they want to refer back to related information, users are supposed to recall the domain of sites and to determine the proportion of priority on a number of sites. The experience of accessing the Internet is mapped into semantic representation of Knowledge Organization (KO) like a memory that it can be exploited to support in gaining new resources in the same domain of knowledge. This study aims to develop a web retrieval application to assist users based on their experience. The application will identify the domains of the sites that were previously accessed by tracing the representation. The domains are used as references to direct the search. Searching the web resources is undertaken by the composition of domain based search and search without domain limitation. The composition of both searches can be determined by the users according to their expectations. The domain based search composition is determined by the resource contributions within the scope of a knowledge domain. The test results show that the system is able to identify the domain’s location and the proportions as preferences for searching. The performance of the system in searching shows that the query returns of relevant documents are dominant.