PEMBANGKITAN BASIS PENGETAHUAN AGEN PADA SISTEM PEMBELAJARAN CERDAS (INTELLIGENT LEARNING SYSTEM) DARI TEKS BEBAS DENGAN MENGGUNAKAN TEMU KEMBALI INFORMASI (INFORMATION RETRIEVAL)

Cahyono, Dwi and Prihartono, Edi (2014) PEMBANGKITAN BASIS PENGETAHUAN AGEN PADA SISTEM PEMBELAJARAN CERDAS (INTELLIGENT LEARNING SYSTEM) DARI TEKS BEBAS DENGAN MENGGUNAKAN TEMU KEMBALI INFORMASI (INFORMATION RETRIEVAL). Palimpsest, 5 (1). pp. 20-26. ISSN 2086-0994

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Abstract

Genelally Knowledge Base (KB) is given by inputting data using structured information, such as XML (Extensible Markup Language) or directly given from Relational Database (RDB), an earlier research has been developed an Intelligent Learning System (ILS) with many agent (multy agent) that uses a knowledge base of each domain in accordance with each agent are stored in RDB, where data and information related to agent knowledge base given tradisionaly / directly into the RDB. Lack of media and methods to enrich the knowledge base of each agent in the Intelligent Learning System inspired in this research as a medium and created a method that is able to enrich the knowledge base of agent generated from unstructured free text form of learning modules on lab. Contribution of this research as an alternative medium to enrich the knowledge base of intelligent agents in a learning system that generated from unstructured sources such as text document using Infromation Retrieval (IR). This research has been running 70%, currently already completed three processes on information retrieval such as parsing the sentences, semantics analysis and translation process that the outcome of this process be included to the knowledge base of conversational agent.

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