Semantically Enriched Subnets of the WWW
Published: 1997 September
Buchtitel: Proceedings of the International Workshop Intelligent Information Integration during the 21st German Annual Conference on Artificial Intelligence (KI'97), Freiburg, Germany, September 9-12, 1997
The World Wide Web (WWW) can be viewed as the largest knowledge-based system that has ever existed. However, its support in automated inference is very limited. We present ontologies as means to enrich web documents for representing semantic information for overcoming this bottleneck. Ontologies enable informed search for information as well as the derivation of additional knowledge that is not directly represented as facts in the WWW. Such an ontology can be used by a subgroup of web users that share a common point of interest like it is known from newsgroups in the internet. Therefore, we propose ontologies to be used to annotate intranets or certain subnets within the entire WWW. The paper presents such an ontology that can be used to annotate web documents of a research community. In fact, we have chosen the knowledge acquisition community. Further, an architecture of an ontology-based broker is sketched that can make use of these ontologies for the automatic derivation of knowledge.