Communications of the ACM
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A new approach to scalable Linda-systems based on swarms
Proceedings of the 2003 ACM symposium on Applied computing
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A self-organized semantic storage service
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
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Principles from nature-inspired selforganization can help to attack the massive scalability challenges in future internet infrastructures. We researched into ant-like mechanisms for clustering semantic information. We outline algorithms to store related information within clusters to facilitate efficient and scalable retrieval. At the core are similarity measures that cannot consider global information such as a completely shared ontology. Mechanisms for syntax-based URI-similarity and the usage of a dynamic partial view on an ontology for path-length based similarity are described and evaluated. We give an outlook on how to consider application specific relations for clustering with a usecase in geoinformation systems.