β Scribed by Kuhlen, Rainer
No coin nor oath required. For personal study only.
This paper discusses terms which are of mutual importance to the fields of information science and computer science. Specifically we discuss the notions of "information" and "knowledge": their interrelationships as well as their differences, and the concept of value-adding. Concrete exampies are used in the discussion.
π SIMILAR VOLUMES
This paper places models of language evolution within the framework of information theory. We study how signals become associated with meaning. If there is a probability of mistaking signals for each other, then evolution leads to an error limit: increasing the number of signals does not increase th
## Abstract In this report, we investigate how retrieving information can be improved through taskβrelated indexing of documents based on ontologies. Different index types, varying from contentβbased keywords to structured taskβbased indexing ontologies, are compared in an experiment that simulates