DocumentCode
1598760
Title
Autonomic RSS: Discarding Irrelevant News
Author
Pinheiro, Wallace A. ; de S.Rodrigues, T. ; da Silva, M.A.R. ; da Silva, M.A.N. ; Silva, Marcelino Campos Oliveira ; Xexeo, Geraldo ; de Souza, Jano M.
Author_Institution
COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro
fYear
2009
Firstpage
148
Lastpage
153
Abstract
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.
Keywords
Internet; Petri nets; database management systems; fault tolerant computing; Internet; Petri net pattern; SECONDO database; autonomic RSS; data killing operator; discarding irrelevant new; really simple syndication; Analytical models; Application software; Computer science; Feeds; Information filtering; Information filters; Mathematics; Petri nets; Sections; Web pages; Data Killing; RSS; SECONDO; feed; high-level Petri nets; information overload;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomic and Autonomous Systems, 2009. ICAS '09. Fifth International Conference on
Conference_Location
Valencia
Print_ISBN
978-1-4244-3684-2
Electronic_ISBN
978-0-7695-3584-5
Type
conf
DOI
10.1109/ICAS.2009.11
Filename
4976596
Link To Document