Guest editorial: ontology research
AI Magazine
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
Ontology-based models in pervasive computing systems
The Knowledge Engineering Review
Proceedings of the 2006 conference on Knowledge-Based Software Engineering: Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering
Mapping metadata for SWHi: aligning schemas with library metadata for a historical ontology
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Location-based context retrieval and filtering
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
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There is probably little argument that the past decade has brought the “big bang” in the amount of online information available for processing by humans and machines. Two of the trends that it spurred (among many others) are: first, there has been a move to more flexible and fluid (semi-structured) models than the traditional centralized relational databases that stored most of the electronic data before; second, today there is simply too much information available to be processed by humans, and we really need help from machines. On today’s Web, however, most of the information is still for human consumption in one way or another.