Semantics and Knowledge Acquisition in Bayesian Knowledge-Bases
نویسندگان
چکیده
Maintaining semantics for uncertainty is critical during knowledge acquisition. We examine Bayesian KnowledgeBases (BKBs) which are a generalization of Bayesian networks. BKBs provide a highly flexible and intuitive representation following a basic “if-then” structure in conjunction with probability theory. We present theoretical results concerning BKBs and how BKBs naturally and implicitly preserve semantics as new knowledge is added. In particular, equivalence of rule weights and conditional probabilities is achieved through stability of inferencing in BKBs.
منابع مشابه
The Distinction between Linguistic and Conceptual Semantics in Medical Terminology and its Implications for NLP-Based Knowledge Acquisition
Natural language understanding systems have to exploit various kinds of knowledge to be able to represent the meaning behind texts. Getting this knowledge in place is often such a huge enterprise that it is tempting to look for systems that can discover such knowledge automatically. In this paper, we describe how the distinction between conceptual and linguistic semantics probably can assist in...
متن کاملMACK: A Tool for Acquiring Consistent Knowledge Under Uncertainty
We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as dat...
متن کاملThe distinction between linguistic and conceptual semantics in medical terminology and its implication for NLP-based knowledge acquisition.
Natural language understanding systems have to exploit various kinds of knowledge in order to represent the meaning behind texts. Getting this knowledge in place is often such a huge enterprise that it is tempting to look for systems that can discover such knowledge automatically. We describe how the distinction between conceptual and linguistic semantics may assist in reaching this objective, ...
متن کاملمدل مدیریت دانش در معاونت‌های نظارت راهبردی و توسعه مدیریت و سرمایه انسانی رئیس‌جمهور
This study tries to pinpoint the knowledge elements and present an appropriate knowledge management (KM) application model for ‘Vice-Presidency for Strategic Planning and Supervision’ and ‘Vice-Presidency for Management and Human Capital Development ‘ (the staff body of former Management and Planning Organization) in Iran. The dependent and independent variables of the research were defined acc...
متن کاملAutomated soil resources mapping based on decision tree and Bayesian predictive modeling.
This article presents two approaches for automated building of knowledge bases of soil resources mapping. These methods used decision tree and Bayesian predictive modeling, respectively to generate knowledge from training data. With these methods, building a knowledge base for automated soil mapping is easier than using the conventional knowledge acquisition approach. The knowledge bases built ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002