Information Fusion as Knowledge Extraction in an Information Processing System

ADANG SUWANDI, AHMAD and ARWIN DATUMAYA, WAHYUDI SUMARI (2016) Information Fusion as Knowledge Extraction in an Information Processing System. In: Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016, 15-16 December 2016, Rome, Italy.

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Knowledge extraction is a means of obtaining knowledge from a phenomenon occured in the environment. Knowledge extraction as part of a process within an information processing system is a very easy task for human brain to do. In this paper we present a new technique for knowledge extraction called information fusion. In the creation of new knowledge, the brain does inferencing to obtain an inference. In essence, when doping the inferencing, the brain is fusing information obtained from the environment with the knowledge already stored in it. The obtained inference is new knowledge of the system while the occured mechanism is called as knowledge extraction. We have developed a method called A3S (Arwin-Adang-Aciek-Sembiring) for knowlegde extraction that was already applied to our system called Knowledge-Growing System (KGS). We also present an example with real-life data to show the work of A3S in performing knowledge extraction.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: A3S, Artificial Intelligence, information fusion, knowledge extraction, KGS
Depositing User: Mr. John Steve
Date Deposited: 18 Mar 2019 11:08
Last Modified: 18 Mar 2019 11:08

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