eprintid: 5442
rev_number: 15
eprint_status: archive
userid: 1903
dir: disk0/00/00/54/42
datestamp: 2010-12-15 11:00:51
lastmod: 2016-04-20 14:15:03
status_changed: 2010-12-15 11:00:51
type: conference_item
metadata_visibility: show
item_issues_count: 0
creators_name: Sequeda, Juan F.
creators_name: Corcho, Oscar
title: Linked Stream Data: A Position Paper
ispublished: pub
subjects: informatica
abstract: The amount of sensors publishing data on the Web is increasing as a result of the online availability of Sensor Web platforms that provide support for this task. With such increase in sensor data publication, new challenges arise for the identification, discovery and access to this data. Following the set of best practices to publish and link structured data on the web proposed by the Linked Data community, in this paper we introduce the concept of Linked Stream Data, a way in which the Linked Data principles can be applied to stream data and be part of the Web of Linked Data.
date: 2009
date_type: published
publisher: CEUR-WS
official_url: http://CEUR-WS.org/Vol-522/
full_text_status: public
pres_type: paper
event_title: 2nd International Workshop on Semantic Sensor Networks, SSN 09
event_location: Washington, Estados Unidos
event_dates: 25/10/2009 - 29/10/2009
event_type: conference
institution: Informatica
department: Inteligencia_Artificial
refereed: TRUE
isbn: ISSN 1613-0073
book_title: Proceedings of the 2nd International Workshop on Semantic Sensor Networks, SSN 09
rights: by-nc-nd
citation:   Sequeda, Juan F. and Corcho, Oscar  (2009).  Linked Stream Data: A Position Paper.  In: "2nd International Workshop on Semantic Sensor Networks, SSN 09", 25/10/2009 - 29/10/2009, Washington, Estados Unidos. ISBN ISSN 1613-0073.    
document_url: https://oa.upm.es/5442/1/INVE_MEM_2009_64353.pdf