Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
EVENT OBJECT BOUNDARIES
IN RDF STREAMS
– A Position Paper –
Robin Keskisärkkä and Eva Blomqvist

Department of Computer an...
PROBLEM
Streaming of event objects represented in RDF
 Each event object can typically not be described by
a single tripl...
STREAM CHARACTERISTICS
Ordered vs. unordered
 Sequential vs. overlapping
 Triples vs. graphs

STREAM CHARACTERISTICS


Other important aspects
Complexity, size, and streaming rate of event objects
 Limitations of t...
PROBLEM

Request: Fire truck
POSSIBLE APPROACHES
1)
2)
3)
4)

Header
Commonality
RDF graph streams
Customized decomposition
APPROACH 1: HEADER
APPROACH 2: COMMONALITY
APPROACH 3: RDF GRAPH STREAM
APPROACH 4: CUSTOMIZED DECOMPOSITION
DISCUSSION
Requires more attention
 Homogeneous streams are relatively simple
 Many real-world streams are heterogeneous...
QUESTIONS?
Pros and cons of streaming graphs?
 Which to support right now?
 What about timestamps?
 What are the limita...
Upcoming SlideShare
Loading in …5
×

Event Object Boundaries in RDF Streams - A Position Paper (slides)

623 views

Published on

Presentation at OrdRing 2013 (2nd International Workshop on Ordering and Reasoning) at ISWC 2013, Sydney.

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

Event Object Boundaries in RDF Streams - A Position Paper (slides)

  1. 1. EVENT OBJECT BOUNDARIES IN RDF STREAMS – A Position Paper – Robin Keskisärkkä and Eva Blomqvist Department of Computer and Information Science Linköping University, Sweden {robin.keskisarkka|eva.blomqvist}@liu.se
  2. 2. PROBLEM Streaming of event objects represented in RDF  Each event object can typically not be described by a single triple  Querying of a partial event object may lead to misleading or false results  How can we respect event object boundaries in RDF streams? 
  3. 3. STREAM CHARACTERISTICS Ordered vs. unordered  Sequential vs. overlapping  Triples vs. graphs 
  4. 4. STREAM CHARACTERISTICS  Other important aspects Complexity, size, and streaming rate of event objects  Limitations of the stream producer/consumer  Timestamps  (…) 
  5. 5. PROBLEM Request: Fire truck
  6. 6. POSSIBLE APPROACHES 1) 2) 3) 4) Header Commonality RDF graph streams Customized decomposition
  7. 7. APPROACH 1: HEADER
  8. 8. APPROACH 2: COMMONALITY
  9. 9. APPROACH 3: RDF GRAPH STREAM
  10. 10. APPROACH 4: CUSTOMIZED DECOMPOSITION
  11. 11. DISCUSSION Requires more attention  Homogeneous streams are relatively simple  Many real-world streams are heterogeneous  Outline of different approaches  Standards and vocabularies 
  12. 12. QUESTIONS? Pros and cons of streaming graphs?  Which to support right now?  What about timestamps?  What are the limitations of stream producers?  Boundaries in streams? 

×