Effective databases for text & document management

TL;DR: This paper survey and compare different ontology languages and tools by the aid of an evaluation framework and hopes the evluation results can be used in helping user to choose suitable language and tool in the task of onotloy building.

TL;DR: A conceptual framework and an architecture for an effective knowledge organization (EKO) that emphasizes the important role of information processing in facilitating the creation of a dynamic knowledge capability, which is the essence of an EKO is provided.

TL;DR: This chapter shows a comparison on these two outstanding proposals in fuzzy logic application to databases, FSQL and SQLf, from different points of view.

TL;DR: Experiments indicate that structured queries, either manually constructed or automatically generated, perform better than their unstructured counterparts, in the majority of cases, and automatic structuring of queries appears to be an effective and viable alternative to manual structuring that may significantly reduce the burden users.

TL;DR: This work has shown that the ability to monitor and react to both database and nondatabase events in a timely and efficient manner is pivotal for supporting a variety of database functions in an elegant manner.

TL;DR: From about the mid-1980' s to theMid-1990' s there was a flurry of research activity in the area of database triggers and constraints, seeing the development of numerous research proposals and prototypes.

TL;DR: A modularization technique for active rules called stratification is introduced; it presents a theory of stratification and indicates how stratification can be practically applied and is illustrated by several examples.

TL;DR: There is a collection of database applications (such as real time control) which may be best accomplished using collections of triggers.