Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
An Effective Implementation of a Direct Spanning Tree Representation in GAs
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
A New Genetic Algorithm for the Optimal Communication Spanning Tree Problem
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
Characterizing and Mining the Citation Graph of the Computer Science Literature
Knowledge and Information Systems
Node similarity in the citation graph
Knowledge and Information Systems
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Mapping Modern Science Using Co-citation Analysis
IV '07 Proceedings of the 11th International Conference Information Visualization
Automatic Taxonomy Extraction Using Google and Term Dependency
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Finding cohesive clusters for analyzing knowledge communities
Knowledge and Information Systems
Combinatorial Optimization: Theory and Algorithms
Combinatorial Optimization: Theory and Algorithms
A framework for technology forecasting and visualization
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Comparison of generality based algorithm variants for automatic taxonomy generation
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
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A novel method for automatically constructing taxonomies for specific research domains is presented. The proposed methodology uses term co-occurrence frequencies as an indicator of the semantic closeness between terms. To support the automated creation of taxonomies or subject classifications we present a simple modification to the basic distance measure, and describe a set of procedures by which these measures may be converted into estimates of the desired taxonomy. To demonstrate the viability of this approach, a pilot study on renewable energy technologies is conducted, where the proposed method is used to construct a hierarchy of terms related to alternative energy. These techniques have many potential applications, but one activity in which we are particularly interested is the mapping and subsequent prediction of future developments in the technology and research.