Visual knowledge representation of conceptual semantic networks

Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implementation, and sketch various ways in which the representation may be deployed for conceptual knowledge acquisition. A translation to RDF establishes interoperability with a wide range of standardised tools, and bridges t...

Conceptual Knowledge Representation and Reasoning

One of the main areas in knowledge representation and logic-based artificial intelligence concerns logical formalisms that can be used for representing and reasoning with concepts. For almost 30 years, since research in this area began, the issue of intensionality has had a special status in that it has been considered to play an important role, yet it has not been precisely established what it...

Semantic Knowledge Representation Project

Ontology versus Semantic Networks for Medical Knowledge Representation

The efficient Semantic Web, needs knowledge to be presented in a well defined form which enables people and software agents to understand it. There are many knowledge representation techniques such as rules, frames, scripts, semantic network and ontology. The purpose of this paper is to illustrate the difference between semantic network and ontology techniques for medical knowledge representati...

10 . Representation of Conceptual Mechanical Design Knowledge

Conceptual design is typically not well represented by traditional engineering mathematics. This work is concerned with acquiring (by protocol analysis) and representing the knowledge used in the conceptual stage of mechanism design. This is the first stage of design, and, along with formulating the problem, establishes a function structure and selects processes and geometries for components re...