A Collaborative Interface for Editing Large Knowledge Bases
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 modi-fying 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
Cite
Text
Terveen and Wroblewski. "A Collaborative Interface for Editing Large Knowledge Bases." AAAI Conference on Artificial Intelligence, 1990.Markdown
[Terveen and Wroblewski. "A Collaborative Interface for Editing Large Knowledge Bases." AAAI Conference on Artificial Intelligence, 1990.](https://mlanthology.org/aaai/1990/terveen1990aaai-collaborative/)BibTeX
@inproceedings{terveen1990aaai-collaborative,
title = {{A Collaborative Interface for Editing Large Knowledge Bases}},
author = {Terveen, Loren G. and Wroblewski, David A.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1990},
pages = {491-496},
url = {https://mlanthology.org/aaai/1990/terveen1990aaai-collaborative/}
}