Customized clinical domain ontology extraction for Knowledge Authoring Tool Taqdir Ali UC Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea taqdir.ali@oslab.khu.ac.kr Wajahat Ali Khan UC Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea wajahat.alikhan@oslab.khu.ac. kr Muhammad Afzal UC Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea muhammad.afzal@oslab.khu.a c .kr Maqbool Hussain UC Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea maqbool.hussain@oslab.khu.a c.kr Sungyoung Lee UC Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea sylee@oslab.khu.ac.kr ABSTRACT Clinical Decision Support Systems (CDSS) require a shareable and adaptable knowledge base. However, sharing and reusing the expert’s knowledge is a challenging task. The proposed approach designs a web based application that acquires and adapts the clinical expert’s knowledge into shareable knowledge base. The system, Intelligent Knowledge Authoring Tool (I-KAT) creates rules in the form of Medical Logic Module (MLM) using HL7 standard Arden Syntax. These rules are easily shareable with HL7 complaint clinical institutions and organizations. To achieve interoperability using MLM, the system uses a mechanism for integration of terminology standard (SNOMED CT) concepts with CDSS standard (Virtual Medical Record (vMR)). The SNOMED CT ontology is comprehensive; containing more than 0.3 million concepts but 10 – 15% concepts of total ontology is normally used in rule creation for a specific domain. Semantically defining relationships between SNOMED CT concepts and vMR concepts require domain ontology development from the SNOMED ontology. In this paper we focus on automatic extraction of domain ontology from overall SNOMED CT ontology on the basis of vMR schema concepts and their attributes mapping with corresponding SNOMED CT concepts. The extracted domain ontology will increase the efficiency and effectiveness of searching mechanism in contextual selection process. Categories and Subject Descriptors D.2.12 [Software Engineering]: Interoperability H.5 [INFORMATION INTERFACES AND PRESENTATION]: Standardization I.2.4 [Knowledge Representation Formalisms and Methods] General Terms Algorithms, Measurement, Performance, Design, Standardization Keywords Ontology extraction, Domain ontology, Authoring Tool, Decision Support System, SNOMED CT, Virtual Medical Record. 1. INTRODUCTION Clinical Decision Support System (CDSS) is progressing domain that assists physicians in different areas of diagnosis, treatment and interventions of a patient [1]. CDSS provides recommendations and generates guidelines using expert’s knowledge stored in the knowledge base. Evolutionary knowledge base thus becomes an important feature that results in extendable and maintainable knowledge base. The proposed approach contributes towards the important features of CDSS that is shareable knowledge base and integration with other systems [2]. However, standard representation of knowledge, information model and interoperability are some challenges in sharing the knowledge bases. HL7 Arden Syntax is knowledge representation standard which transform rules into shareable logic unit called MLMs [5]. To unify interfaces and allow healthcare systems to easily communicate with CDSS, HL7 vMR (Virtual Medical Record) is providing data models for CDSS input and output. HL7 vMR is derived from RIM (Reference Information Model) with the main objective of semantic interoperability [11]. Terminology standards such as SNOMED CT, LOINC are used to handle the clinical concepts of a particular domain. SNOMED CT is an international standard ontology has multilingual supports and contains more than 0.3 million active concepts [12]. To Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. IMCOM (ICUIMC)’14, January 9–11, 2014, Siem Reap, Cambodia. Copyright 2014 ACM 978-1-4503-2644-5…$15.00.