A hybrid knowledge representation scheme ~OI molecular scene analysis is presented. The molecular knowledge base provides a framework in which existing sources of protein inform.ation can be integrated. Representations and strategies for vzsual and spatial reasoning are also included in the sch.eme.

Abstract—Healthcare safety has been perceived important. It is essential to prevent troubles in healthcare processes for healthcare safety. Trouble prevention is based on trouble prediction using accumulated knowledge on processes, troubles, and countermeasures. However, information on troubles has not been accumulated in hospitals in the appropriate structure, and it has not been utilized effe...

This paper describes the results ofthe use of a Group Support System (GSS) and two “hindcasting” scenario exercises. The GSS is used to implement the hindcasting, knowledge mapping, and knowledge representation techniques as disaster planning tools. This work improves our understanding of the knowledge engineering process in the areas of knowledge acquisition, validation, and representation whe...

Access-Limited Logic (ALL) is a language for knowledge representation which formalizes the access limitations inherent in a network structured knowledge-base. Where a deductive method such as resolution would retrieve all assertions that satisfy a given pattern, an access-limited logic retrieves all assertions reachable by following an available access path. In this paper, we extend previous wo...

Ever since the birth of ITS (Intelligent Tutoring System) in late 1970’s and early 1980’s, it has live through numerous evolutions. Through this paper we opt to explore and revive the Tutor (Pedagogical) Model of ITS. Pedagogy is referred to as the correct use of teaching strategies. The objective is to emphasize on various abstract pedagogies that can be incorporated into an Intelligent Tutori...

It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are a family of knowledge representation languages that have gained considerable attention the last decade, mainly due to their decidability and the existence of empirically high performance of reasoning algorithms. In th...

It is well known that rule-based knowledge bases are usually realized by logic programs. An update has to be performed to the current knowledge base if some new information occurs. In many applications associated with dynamic domains, however, such new information may occur not only as a set of simple facts but also a set of rules. In this paper, we view knowledge bases as extended logic progra...

This system uses a background knowledge base to identify semantic relations between base noun phrases in English text, as evaluated in SemEval 2007, Task 4. Training data for each relation is converted to statements in the Scone Knowledge Representation Language. At testing time a new Scone statement is created for the sentence under scrutiny, and presence or absence of a relation is calculated...

In this paper we describe a system for semantic interpretation of noun compounds that relies on world and domain knowledge from a knowledge base. This architecture combines domain-independent compounding rules with a task-independent knowledge representation, allowing both components to be flexibly reused. We present examples from Scientific American text, on which the system was developed, and...

System Overview The approach acquires a domain-specific semantic representation by carrying out stochastic analysis of a corpus. Sets of conceptually similar paragraphs are utilised. The corpus and semantic representation are used to generate schematic structures. These are used to concisely store the knowledge contained within existing texts. New texts are processed to dynamically update the k...