Jurnal Palimpsest
ISSN 2086-0994
Vol. 5 / No. 1 / Published : 2014-08
Order : 1, and page :1 - 11
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Original Article :
Pembangkitan basis pengetahuan agen pada sistem pembelajaran cerdas (intelligent learning system) dari teks bebas dengan menggunakan temu kembali informasi (information retrieval)
Author :
- Dwi Cahyono*1
- Edi Prihartono *2
- Fakultas Teknik, Program Studi Teknik Informatika Universitas Dr. Soetomo
- Fakultas Teknik, Program Studi Teknik Informatika Universitas Dr. Soetomo
Abstract :
Genelally Knowledge Base (KB) is given by inputting data using structured information, such as XML (Extensible Markup Language) or directly given fromRelational Database (RDB), an earlier research has been developed an IntelligentLearning System (ILS) with many agent (multy agent) that uses a knowledge base ofeach domain in accordance with each agent are stored in RDB, where data andinformation 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 theIntelligent Learning System inspired in this research as a medium and created a methodthat is able to enrich the knowledge base of agent generated from unstructured free textform of learning modules on lab. Contribution of this research as an alternative medium to enrich the knowledgebase of intelligent agents in a learning system that generated from unstructured sourcessuch as text document using Infromation Retrieval (IR). This research has been running 70%, currently already completed threeprocesses on information retrieval such as parsing the sentences, semantics analysisand translation process that the outcome of this process be included to the knowledgebase of conversational agent.
Keyword :
knowledge base, information retrieval, agents, conversational agent, intelligent learning system,
References :
Natalya F. Noy and Deborah L. McGuinness,(2000) Ontology Development 101: A Guide to Creating YourFirst Ontology Stanford : Stanford University
Archive Article
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