linked data representation
TRANSCRIPT
A Linked-data Model For Semantic Sensor Streams
Authors: P. Barnaghi et al.
Presenter: Haroon Rashid
113/03/15
Problem
• Describe semantically sensor data streams
– Continuous observations and measurements
• Semantic representation of data streams
– Metadata increases the size of transferred data to a greater extent
• Efficient Semantic Queries for large-scale annotated data
213/03/15
Solution
• Use Linked data concept
– Store static, common attributes at one place
– Provide links to static data wherever needed
313/03/15
Data Distribution
• Clustering approach
– Store data on distributed repositories
– Results in fast query and resolution mechanisms
• Using K-means Clustering
– Involves both storing and fetching data in/from different clusters
– Needs extensive training
1013/03/15
Questions
1. Can we improve data identification which will enhance data resolution/composition?
2. Size of the stream stream/series?
1. Depends on application requirements, bandwidth, caching, freshness
3. On clustering, query efficiency not shown
4. Can we use sample data for showing efficiency of a technique in paper?
1213/03/15