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 completly 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 geo-information systems.