A collaborative interface for editing large knowledge bases

Authors:
Loren G. Terveen;David A. Wroblewski
Affiliations:
MCC Human Interface Laboratory, Austin, TX;MCC Human Interface Laboratory, Austin, TX
Venue:
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Year:
1990

Citing 8
Cited 1

The KREME knowledge editing environment

International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 4
A mixed-initiative workbench for knowledge acquisition

International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 4
Object lens: a “spreadsheet” for cooperative work

ACM Transactions on Information Systems (TOIS)
A view matcher for learning Smalltalk

CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project

Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Supporting Start-to-Finish Development of Knowledge Bases

Machine Learning
Design environments for high-functionality computer systems

Design environments for high-functionality computer systems
Luke: an experiment in the early integration of natural language processing

ANLC '88 Proceedings of the second conference on Applied natural language processing

An Environment for Reusing Software Processes

ICSR '98 Proceedings of the 5th International Conference on Software Reuse

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new generation of knowledge/databases is emerging. These systems contain thousands of objects, densely interconnected and heterogeneously organized, entered from many sources, both human and automated. Such systems present tremendous challenges to their users, who must locate relevant information quickly and add new information effectively. Our research aims to understand and support the knowledge editing task. The HITS Knowledge Editor (HKE) is an interface that supports browsing and modifying the CYC knowledge base (Guha & Lenat 1990). HKE has been designed to be a collaborative interface, following a set of principles for sharing tasks between system and user. We describe these principles and illustrate how HKE provides resources built according to those principles that collaborate with its users on a variety of knowledge editing tasks.