We describe the natural language processing and knowledge representation components of B2, a collaborative system that allows medical students to practice their decision-making skills by considering a number of medical cases that diier from each other in a controlled manner. The underlying decision-support model of B2 uses a Bayesian network that captures the results of prior clinical studies o...

With knowledge representation based technologies reaching the enterprise, involving business users in modeling is more important than ever. When primary processes and business decisions are driven by models, business knowledge needs to be captured and only business users can establish whether the models created are correct. A natural language based representation of models can help business use...

A large knowledge base is a prerequisite for a lot of tasks in natural language processing (NLP). To build a handcrafted knowledge base, which is applicable to real world scenarios, a vast amount of effort is required. Furthermore, experts are needed with a strong background in linguistics, artificial intelligence and knowledge representation which may not be available to the extent necessary (...

The role of UG in generative linguistics Generative linguistics is essentially the exploration of the properties of UG. Current conceptions of UG take it to be comprised of: Principles of representation, computation, and interface with language-external systems. Parameters of variation between languages affecting particularly aspects of representation and computation. Acquisition “device” of so...

The use of a representation language involving schemata and associated derived models has been extended to include all aspects of domain knowledge and strategy and heuristic problem solving knowledge. This uniform representation will allow the extension of knowledge base management techniques for acquisition and retrieval of procedural knowledge.

The use of a taxonomy, such as the concept type lattice (CTL) of Conceptual Graphs, is a central structuring piece in a knowledge-based system. The knowledge it contains is constantly used by the system, and its structure provides a guide for the acquisition of other pieces of knowledge. We show how UMLS can be used as a knowledge resource to build a CTL and how the CTL can help the process of ...

Databases have become ubiquitous. Almost all IT applications are storing into and retrieving information from databases. Retrieving information from the database requires knowledge of technical languages such as Structured Query Language (SQL). However majority of the users who interact with the databases do not have a technical background and are intimidated by the idea of using languages such...