Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Word association norms, mutual information, and lexicography
Computational Linguistics
Knowledge mining from textual sources
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Towards text knowledge engineering
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Using text processing techniques to automatically enrich a domain ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Self-Organizing Maps
The Usable Ontology: An Environment for Building and Assessing a Domain Ontology
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
GETESS - Searching the Web Exploiting German Texts
CIA '99 Proceedings of the Third International Workshop on Cooperative Information Agents III
SEXTANT: exploring unexplored contexts for semantic extraction from syntactic analysis
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
HLT '93 Proceedings of the workshop on Human Language Technology
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Creating ontologies for content representation: the OntoSeed suite
Journal on data semantics IX
Creating ontologies for content representation: the OntoSeed suite
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
Ontology-based information extraction and information retrieval in health care domain
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
An Ontology Based Model for Document Clustering
International Journal of Intelligent Information Technologies
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The creation and maintenance of domain ontologies is a costly and time-consuming task. With the advent of ontologies being used in many different fields of computer science, developing appropriate algorithms and methods to support or automatize ontology engineering have become an increasingly important goal. Hence, we present a connectionist approach to visualize semantic relations inherent in free-from text documents related to a specific domain. In particular, we exploit word co-occurrences to capture relatedness of words in order to generate numeric representations of the words' contexts. We use the self-organizing map, a well-known neural network model with unsupervised learning function, to map the high-dimensional data onto a two-dimensional representation for convenient browsing. This intuitive view on the domain vocabulary supports the construction and enrichment of domain ontologies by making relevant concepts and their relations evident. We underline this approach with an example from the tourism domain.