Data, information and knowledge are all represented in a single formalism as “items”. Items contain two types of acceptability measures that measure the invalidity of item instances. Objects are item building operators that also contain two types of acceptability measures. These acceptability measures define a graduated acceptability region for data, information and knowledge. This region repre...

A capability for translating between representation languages is critical for effective knowledge base reuse. We describe a translation technology for knowledge representation languages based on the use of an interlingua for communicating knowledge. The interlingua-based translation process can be thought of as consisting of three major steps: (1) translation from the source language into a sub...

STROBE is a system that provides object-oriented programming support tools for INTERLISP. It offers a primitive foundation with which more complex structured object representation schemes can be constructed. STROBE implements multiple resident knowledge bases, tangled generalization hierarchies, flexible inheritance of properties, procedural attachment, and event-sensitive procedure invocation.

A long time span often lies between the production (initial configuration) and the reconfiguration of a technical system. During that time new components are invented and related knowledge changes. The goal of this examination is to use the same knowledge base over years. One common way to solve this problem is to integrate a versioning system into the knowledge base. This article however exami...

Folksonomies emerge as the result of the free tagging activity of a large number of users over a variety of resources. They can be considered as valuable sources from which it is possible to obtain emergingvocabularies that can be leveraged in knowledge extraction tasks. However, when it comes to understanding the meaning of tags in folksonomies, several problems mainly related to the appearanc...

Automatic classiication may be used in object knowledge bases in order to suggest hypothesis about the structure of the available object sets. Yet its direct application meets some diiculties due to the way data is represented: attributes relating objects, multi-valued attributes, non-standard and external data types used in object descriptions. We present here an approach to the automatic clas...

Methods for automated knowledge base construction often rely on trained fixed-length vector representations of relations and entities to predict facts. Recent work showed that such representations can be regularized to inject first-order logic formulae. This enables to incorporate domain-knowledge for improved prediction of facts, especially for uncommon relations. However, current approaches r...

Past research using a deferred imitation task has shown that 6-month-olds remember a 3-part action sequence for only 1 day. The concept of a time window suggests that there is a limited period within which additional information can be integrated with a prior memory. Its width tracks the forgetting function of the memory. This study asked if retrieving the memory of the modeled actions at the e...

Road recognition from video sequences has been solved robustly only for small, often simplified subsets of possible road configurations. This contribution argues for a massive augmentation of the amount of prior knowledge to enable the development of more generally applicable estimators. Description Logic is introduced as an expressive knowledge representation formalism for scene understanding....

Intelligent tutoring systems assist medical faculty in training and equipping students with the required clinical reasoning skills. Plausible student solutions to a given problem are rejected by tutoring systems as being incorrect, if they do not match a specific solution accepted by the tutoring system. This leads to brittleness in evaluating student solutions. In this paper we describe a comb...