@inproceedings{90cccbfd3669475fbc7f844005386410,
title = "Towards a data model for artificial intelligence applications",
abstract = "Data models used in database management have not been built with AI applications in mind. The entities and their relationships in an AI environment transcend in complexity the data semantics of most other databases, so that the expressive power of the 'usual' data models becomes insufficient. In AI community databases are viewed as a possible application area ('database front ends') but in AI research itself the databases used tend to be ad hoc and are not specified in terms of data models and DBMS based on such. The data model suggested below is a step towards bridging the gap between database theory and AI databases.",
keywords = "Artificial intelligence, Complexity theory, Context, Control systems, Data models, Databases, Finite element analysis",
author = "Sergei Nirenburg and Chagit Attiya",
note = "Publisher Copyright: {\textcopyright} 1984 IEEE.; 1st IEEE International Conference on Data Engineering, COMPDEC 1984 ; Conference date: 24-04-1984 Through 27-04-1984",
year = "2015",
month = sep,
day = "14",
doi = "10.1109/ICDE.1984.7271305",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Data Engineering",
pages = "446--453",
booktitle = "IEEE International Conference on Data Engineering, COMPDEC 1986",
}