Analogy in the Large

Haase, Kenneth B.

Analogy in the Large

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1375-1380.

Abstract

This article discusses the use of analogy to index and organize large databases of information. We describe the design and implementation of an analogical database supporting tens to hundreds of thousands of cases. The contents of the database are parsed news articles represented as networks of grammatical relations with references into WordNet for word meaning information. The virtue of this approach is its domain-independent handling of content analysis. Efficient algorithms for indexing and matching in this database are described and briefly discussed and examples of their performance are discussed.

Kenneth B. Haase. 1995. Analogy in the Large. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1375–1380. https://ijcai.org/proceedings/1995/177

@inproceedings{ijcai1995p177,
  title     = {Analogy in the Large},
  author    = {Haase, Kenneth B.},
  booktitle = {Proceedings of the Fourteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-95}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Chris S. Mellish},
  pages     = {1375--1380},
  year      = {1995},
  note      = {Natural Language},
  url       = {https://ijcai.org/proceedings/1995/177},
}

TY  - CPAPER
TI  - Analogy in the Large
AU  - Haase, Kenneth B.
T2  - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1995
SP  - 1375
EP  - 1380
UR  - https://ijcai.org/proceedings/1995/177
ER  -