Islam Elhalwany, Ammar Mohammed, K. Wassif, H. Hefny
{"title":"Enhanced Knowledge Discovery Approach in Textual Case Based Reasoning","authors":"Islam Elhalwany, Ammar Mohammed, K. Wassif, H. Hefny","doi":"10.1109/MICAI.2014.11","DOIUrl":null,"url":null,"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.","PeriodicalId":189896,"journal":{"name":"2014 13th Mexican International Conference on Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 13th Mexican International Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2014.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.
开发TCBR应用程序的成功方法之一是复杂信息分析(SOPHisticated Information Analysis, SOPHIA),其特点是它能够在没有先验知识工程、领域依赖或语言依赖的情况下工作。TCBR应用程序面临的关键挑战之一是在可接受的性能下响应来自用户的大量请求。另一个挑战是适应阿拉伯语的复杂性。本文的主要贡献是提出了一种增强版的SOPHIA-TCBR,它提供了更高的精度和更好的时间性能。建议的方法在阿拉伯伊斯兰法学(fiqh)领域进行评估,这是一个具有挑战性的案例研究,其庞大的案例基础和每天大量的用户请求(问题)。这项任务实际上需要一个特定的智能系统,该系统可以通过应用该领域提出的方法并克服与语言语法和语义相关的挑战来帮助满足人们对答案的需求。