Autonomic RSS: Discarding Irrelevant News

摘要

Information overload is becoming a big problem in the modern world. Several technologies face this problem, amongst them feed aggregators. Using this technology, users receive a huge amount of news that may contain a large number of irrelevant bits of information. This paper discusses this problem and provides an autonomic way to reduce it through the use of data killing operators. These operators use SECONDO database based on high-level Petri nets patterns.