% This data is distributed under the terms of the Open Data Commons Attribution License (ODC-By) v1.0 - See more at: http://opendatacommons.org/licenses/by/1-0/ @Article{OJDB_2019v6i1n01e_HiDeSt2018, title = {Special Issue on High-Level Declarative Stream Processing}, author = {Patrick Koopmann and Theofilos Mailis and Danh Le Phuoc}, journal = {Open Journal of Databases (OJDB)}, issn = {2199-3459}, year = {2019}, volume = {6}, number = {1}, pages = {1--4}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-2018122318332165752519}, urn = {urn:nbn:de:101:1-2018122318332165752519}, publisher = {RonPub}, bibsource = {RonPub}, abstract = {Stream processing as an information processing paradigm has been investigated by various research communities within computer science and appears in various applications: realtime analytics, online machine learning, continuous computation, ETL operations, and more. The special issue on "High-Level Declarative Stream Processing" investigates the declarative aspects of stream processing, a topic of undergoing intense study. It is published in the Open Journal of Web Technologies (OJWT) (www.ronpub.com/ojwt). This editorial provides an overview over the aims and the scope of the special issue and the accepted papers.} }