Hierarchy as a new data type for qualitative variables-Reference-Cited by-同舟云学术

Hierarchy as a new data type for qualitative variables

Published:2007-04 Issue:3 Volume:32 Page:899-910
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Levachkine Serguei,Guzmán-Arenas Adolfo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Image representation and processing: a recursive approach;Alexandrov,1992

2. Conceptual multidimensional data model based on meta-cube;Bhin;Lecture Notes in Computer Science,2000

3. Budanitsky, A., & Hirst, G. (2000). Semantic distance in wordnet: an experimental, application-oriented evaluation of five measures. In Proceedings of the North American chapter of the association for computational linguistics (NAACL 2000), Pittsburgh, PA.

4. A distributed digital text accessing and acquisition system: BiblioDigital© SoftwarePro International;de Gyves;Lecture Notes in Computer Science,2004

5. Making ontologies work for resolving redundancies across documents;Everett;Communications of the ACM,2002

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing a goal-driven data integration framework for effective data analytics;Decision Support Systems;2024-05

2. DIS-C: conceptual distance in ontologies, a graph-based approach;Knowledge and Information Systems;2018-04-26

3. Semantic assessment of similarity between raster elevation datasets;Revista Facultad de Ingeniería Universidad de Antioquia;2012-11-29

4. The centroid or consensus of a set of objects with qualitative attributes;Expert Systems with Applications;2011-05

5. Multi-criteria Geographic Information Retrieval Model Based on Geospatial Semantic Integration;GeoSpatial Semantics;2011