Title :
Enhanced Knowledge Discovery Approach in Textual Case Based Reasoning
Author :
Elhalwany, Islam ; Mohammed, Ammar ; Wassif, Khaled T. ; Hefny, Hesham A.
Author_Institution :
Inst. of Stat. Studies & Researches, Cairo Univ., Cairo, Egypt
Abstract :
One of the successful approaches for developing TCBR applications is SOPHisticated Information Analysis (SOPHIA), which is distinguished by its ability to work without prior knowledge engineering, domain dependency, or language dependency. One of the critical challenges faced the application of TCBR is responding to enormous requests from users in acceptable performance. Another challenge is the complexity of adapting Arabic language. The main contribution of this paper is proposing an enhanced version of SOPHIA-TCBR, which provides higher accuracy and better time performance. The proposed approach is evaluated in the domain of Arabic Islamic Jurisprudence (fiqh), which is a challenge case study with its large case-base and enormous number of users´ requests (questions) daily. This task actually requires a certain smart system that can help in fulfilling people´s needs for answers by applying the proposed approach in this domain and overcoming challenges related to the language syntax and semantics.
Keywords :
case-based reasoning; data mining; natural language processing; Arabic Islamic Jurisprudence; Arabic language; SOPHIA; TCBR applications; knowledge discovery approach; sophisticated information analysis; textual case based reasoning; Cognition; Context; Knowledge discovery; Mathematical model; Organizations; Probability distribution; Semantics; Case based Reasoning; Questions Answering Systems; Text Classification; Text Clustering; Textual Case Based Reasoning; and Knowledge discovery;
Conference_Titel :
Artificial Intelligence (MICAI), 2014 13th Mexican International Conference on
Print_ISBN :
978-1-4673-7010-3
DOI :
10.1109/MICAI.2014.11