user

Relation Identification in Business Rules for Domain-specific Documents

被引：2
|
作者：
Bhattacharyya, Abhidip [1 ]
Chittimalli, Pavan Kumar [2 ]
Naik, Ravindra [2 ]
机构：
[1] Univ Colorado, Boulder, CO 80309 USA
[2] TRDDC, TCS Innovat Labs, Pune, Maharashtra, India
来源：
ISEC'18: PROCEEDINGS OF THE 11TH INNOVATIONS IN SOFTWARE ENGINEERING CONFERENCE | 2018年
关键词：
Business Rule Extraction; Document Mining; Natural Language Processing; Maximum Entropy; EXTRACTION;
D O I：
10.1145/3172871.3172884
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper focuses on an approach to mine business rules from documents and facilitates a methodology to represent them in a formal notation. Businesses are operated abiding by some rules and complying with respect to regulation and guidelines. The business rules are often written using English in operating procedures, terms and conditions, and various other supporting documents. The manual analysis of these rules for activities like impact analysis, maintenance, business transformation leads to potential discrepancies, ambiguities, and quality issues. In this paper, we discuss our approach of mining relations among the rule intents (atomic facts) defined for business rules. We also present our preliminary studies on a couple of openly available documents.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Automatically bootstrapping OWL ontologies from domain-specific XML documents
    Xu, Jiuyun
    Wang, Hongquan
    Duan, Youxiang
    Shi, Nianyun
    [J]. Journal of Computational Information Systems, 2007, 3 (03): : 1269 - 1276
  • [22] Building a Domain-Specific Knowledge Graph for Business Networking Analysis
    Gohourou, Didier
    Kuwabara, Kazuhiro
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2021, 2021, 12672 : 362 - 372
  • [23] Success in translation (Denmark, business, teaching, domain-specific fields)
    Hansen, G
    [J]. PERSPECTIVES-STUDIES IN TRANSLATOLOGY, 1997, 5 (02): : 201 - 210
  • [24] Extracting Web Business Information Based on Domain-Specific Ontology
    Shen, J.
    Bi, L.
    Xu, F. Y.
    He, K.
    Wei, L. H.
    Zhu, Y.
    [J]. ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 997 - 1003
  • [25] Domain-specific model differencing for graphical domain-specific languages
    Jafarlou, Manouchehr Zadahmad
    [J]. ACM/IEEE 25TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS, MODELS 2022 COMPANION, 2022, : 205 - 208
  • [26] Identification of domain-specific euphemistic tweets using clustering
    Devi M.D.
    Saharia N.
    [J]. International Journal of Information Technology, 2024, 16 (1) : 21 - 31
  • [27] An Approach for Domain-Specific Design Pattern Identification Based on Domain Ontology
    Gkantouna, Vassiliki
    Papaioannou, Vaios
    Tzimas, Giannis
    Sabic, Zlatan
    [J]. ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS (AIAI 2019), 2019, 560 : 125 - 137
  • [28] Domain-specific application analysis for customized instruction identification
    [J]. Tian, Yu-Chu, 1600, Elsevier B.V., Netherlands (38):
  • [29] Domain-specific application analysis for customized instruction identification
    Karunarathna, Madhushika M. E.
    Tian, Yu-Chu
    Fidge, Colin
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2014, 38 (07) : 637 - 648
  • [30] Domain-specific application analysis for customized instruction identification
    [J]. Tian, Y.-C. (y.tian@qut.edu.au), 1600, Elsevier B.V., Netherlands (38):
12345