On Conducting a Decision Group to Construct Semantic Decision Tables

نویسنده

  • Yan Tang
چکیده

Semantic Decision Table (SDT) was introduced to support collaborative decision making. Semantics, a group of decision makers, mutual understanding and collaborative environment(s) are at the heart of SDT. In practice, it is rather difficult to construct SDT within a decision group. We try to tackle this problem by modeling SDT within the context of information system, which is based on McGrath’s Conceptual Framework for the Study of Group. Ontologies and DOGMA (Developing Ontology-Grounded Methods and Applications) approach to ontology engineering are proposed to store the semantics and mutual understanding for SDT. In this paper, we also propose a generic method of guiding a group to construct SDT, which is illustrated with an example of online customer management in the privacy domain.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards Group Decision Making via Semantic Decision Tables and Blackboards

Information infrastructures become increasingly decentralized. In these environments, coming up with coherent collective decision systems is difficult, especially in environments where central “authorities” are lacking. In this paper, we explore the idea of using artifacts called Blackboards for Decision Tables to support collaborative and incremental evolution of a network of Semantic Decision...

متن کامل

Using SOIQ(D) to Formalize Semantics within a Semantic Decision Table

As an extension to decision tables, Semantic Decision Tables (SDTs) are considered as a powerful tool of modeling processes in various domains. An important motivation of consuming SDTs is to easily validate a decision table during the Validation and Verification (V&V) processes. An SDT contains a set of formal agreements called commitments. They are grounded on a domain ontology and considered...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

Use Semantic Decision Tables to Improve Meaning Evolution Support Systems

Meaning Evolution Support Systems have been recently introduced as a real-time, scalable, community-based cooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracy and effectiveness by using Semantic Decision Tables. A Semantic Decision Table separates general decision rules from the processes, bootstraps policies and template dependenci...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007