Dipartimento di
Elettronica, Informazione e
Bioingegneria

Daniele Dell’Aglio
Advisor: Emanuele Della Valle

Ontology-base...
2/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Relevancy
 The processing of multiple streams poses...
D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Related works

Data velocity:
Stream processing
22 Octobe...
4/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Problem statement

 In a real-time context, we want...
5/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Research questions
How can M and K be
used to optimi...
6/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Plan

State of the art analysis
DSMS
/CEP

Definitio...
7/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Evaluation plan

 Correctness: assess how the techn...
8/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Preliminary results

 CSRbench
– Extension of SRben...
9/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Thank you! Questions?

Ontology-based top-k query an...
Upcoming SlideShare
Loading in …5
×

Ontology based top-k query answering over massive, heterogeneous, and dynamic data

556 views

Published on

My presentation at the ISWC Doctoral Consortium 2013

Published in: Education, Spiritual
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
556
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Ontology based top-k query answering over massive, heterogeneous, and dynamic data

  1. 1. Dipartimento di Elettronica, Informazione e Bioingegneria Daniele Dell’Aglio Advisor: Emanuele Della Valle Ontology-based top-k query answering over massive, heterogeneous, and dynamic data
  2. 2. 2/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Relevancy  The processing of multiple streams poses challenges, such as: Data velocity Data in multiple sources Data heterogeneity Identification of relevant information • During the Milano Design Week: given the data from Twitter, Foursquare and public transportations, which are the most attractive locations now? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria
  3. 3. D. Dell'Aglio. Ontology-based top-k continuous query answering. Related works Data velocity: Stream processing 22 October, 2013 3/8 Data hetereogeneity: Ontologies / Stream Reasoning Relevant information: Top-k queries Dipartimento di Elettronica, Informazione e Bioingegneria
  4. 4. 4/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Problem statement  In a real-time context, we want to make continuous queries (with a subset of top-k ones) using an ontology describing the data model  Problem statement: investigate how the top-k queries and the ontology can be exploited to improve the continuous query answering process  The order is a central element in both Stream Reasoning and top-k queries – If and how can it be used to improve the query answering process? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria
  5. 5. 5/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Research questions How can M and K be used to optimize the logical plans? Logical Logical Plans Logical Plans Plans Physical Physical Plans Physical Plans Plans How do M and K can be exploited to do cross-query optimizations? 22 October, 2013 How can M and K be used to optimize the physical plans? Dipartimento di Elettronica, Informazione e Bioingegneria
  6. 6. 6/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Plan State of the art analysis DSMS /CEP Definition of the evaluation framework Investigation of Stream Reasoning Top-k queries Reasoning Investigation of Stream Reasoning + Top-k 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria
  7. 7. 7/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Evaluation plan  Correctness: assess how the techniques affect the correctness – Soundness – Completeness  Performance: compare the time and memory consumption w.r.t state of the art solutions  Use case and exploitation – Determine what is possible to do with state of the art solutions – Identification of use cases to apply research results 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria
  8. 8. 8/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Preliminary results  CSRbench – Extension of SRbench to assess correctness of RDF stream processors – Three elements • Model to describe the operational semantics • Test set • Automatic validator  Twindex FuoriSalone – Social media analytics to real-time monitor the FuoriSalone event • What do people think about a given event? • Which are the most attractive events at the moment? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria
  9. 9. 9/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Thank you! Questions? Ontology-based top-k query answering over massive, heterogeneous, and dynamic data Daniele Dell’Aglio Advisor: Emanuele Della Valle 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

×