@article{oliver99,
title = {Representation of change in controlled medical terminologies},
author = {Diane E. Oliver and Yuval Shahar and Edward H. Shortliffe and Mark A. Musen},
journal = {Artificial Intelligence in Medicine},
number = {1},
pages = {53-76},
url = {citeseer.ist.psu.edu/bc99representation.html},
volume = {15},
year = {1999},
abstract = {Computer-based systems that support health care require large controlled terminologies to manage names and meanings of data elements. These terminologies are not static, because change in health care is inevitable. To share data and applications in health care, we need standards not only for terminologies and concept representation, but also for representing change. To develop a principled approach to managing change, we analyze the requirements of controlled medical terminologies and consider features that frame knowledge representation systems have to offer. Based on our analysis, we present a concept model, a set of change operations, and a change-documentation model that may be appropriate for controlled terminologies in health-care. We are implementing our framework in a system that addresses the problem of terminology divergence due to local adaptations.},
keywords = {evolution ontology }
}
::