https://www.cs.princeton.edu/courses/archive/spr05/cos598E/bib/rui99_cbir_survey.pdf

Image Retrieval

Foundation for intelligent physical agents

Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing)

This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts

/pdf/guide-to-advanced-empirical-software-engineering-2f0my2wuh8.pdf

Guide to Advanced Empirical Software Engineering

This chapter explains the meaning of basic terms and concepts related to expert systems, describes the architecture and functions of an expert system, and the conditions under which the building or purchase of an expert system is feasible. The benefits and disadvantages attached to the use of expert systems will be analysed. Also included are a description of the tools and methods used for building expert systems plus the criteria used to evaluate and compare these tools. Finally the reader will gain an understanding of the difficult process of knowledge acquisition and an awareness of the legal implications of the use of expert systems.

Expert systems

This paper describes a project to construct a terminological knowledge base, called COGNITERM. First, we position our research framework in relationship to recent developments in computational lexicology and knowledge engineering. Second, we describe the COGNTTERM prototype and discuss its advantages over conventional term banks. Finally, we outline some of the methodological issues that have emerged from our work.

Towards a new generation of terminological resources: an experiment in building a terminological knowledge base

1.4.2 Systematic Concept Analysis within a Knowledge-Based Approach to Terminology

CODE4 is a general-purpose knowledge management system, intended to assist with the common knowledge processing needs of anyone who desires to analyse, store, or retrieve conceptual knowledge in applications as varied as the specification, design and user documentation of computer systems; the construction of term banks, or the development of ontologies for natural language understanding. This paper provides an overview of CODE4 as follows: We first describe the general philosophy and rationale of CODE4 and relate it to other systems. Next, we discuss the knowledge representation, specifically designed to meet the needs of flexible, interactive knowledge management. The highly-developed user interface, which we believe to be critical for this type of system, is explained in some detail. We finally describe how CODE4 is being used in a number of applications.

CODE4: a unified system for managing conceptual knowledge

representation schema, abstract schema: (*) An idealized KNOWLEDGE REPRESENTATION SCHEMA describing representation principles, but containing simplify- ing assumptions or constructs that may not be finitely realizable. An abstract schema

/pdf/practical-techniques-for-organizing-and-measuring-knowledge-489uthok9p.pdf

Practical techniques for organizing and measuring knowledge

The central concern of terminology, a component of the general documentation process, is concept analysis, an activity which is becoming recognized as fundamental as term banks evolve into knowledge bases. We propose that concept analysis can be facilitated by knowledge engineering technology, and describe a generic knowledge acquisition tool called CODE (Conceptually Oriented Design Environment) that has been successfully used in two terminology applications: 1) a bilingual vocabulary project with the Terminology Directorate of the Secretary of State of Canada, and 2) a software documentation project with Bell Northern Research. We conclude with some implications of computer-assisted concept analysis for terminology.

Douglas Skuce

Papers

Towards a new generation of terminological resources: an experiment in building a terminological knowledge base

1.4.2 Systematic Concept Analysis within a Knowledge-Based Approach to Terminology

CODE4: a unified system for managing conceptual knowledge

Practical techniques for organizing and measuring knowledge

Concept analysis and terminology: a knowledge-based approach to documentation