Benchmarking Faceted Browsing Capabilities of Triple Stores

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Holistic Benchmarking of Big Linked Data

Presentation at ACM Conference - Semantics2017, September 11--14, 2017, Amsterdam, Netherlands This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).

Technology

Benchmarking Faceted Browsing Capabilities
of Triple Stores
Horizon 2020
GA No 688227
01/12/2015 – 30/11/2018
Henning Petzka, Claus Stadler, Georgios Katsimpras, Bastian Haarmann, Jens Lehmann
13.09.2017
SEMANTiCS Amsterdam 2017

HOllistic Benchmarking of Big lInked daTa
Rationale:
A community-driven unified benchmarking platform for the community
• Focus on Big Linked Data
• Provide benchmarks and baselines
• Provide reference implementation of KPIs
• Extensible and referenceable
• Result analysis
• Open Source
http://project-hobbit.eu

• Benchmarks I: Generation & Acquisition
measures performance of SPARQL query processing systems when faced with streams of
data in terms of efficiency and completeness
• Benchmarks II: Analysis & Processing
test performance on instance matching tools for Linked Data and performance on machine
learning methods for data analytics
• Benchmarks III: Storage & Curation
has its focus on storage components and versioning systems to efficiently manage evolving
linked datasets
• Benchmarks IV: Visualization & Services
has its focus on benchmarks regarding question answering and faceted browsing.

Faceted Browsing
stands for a session-based and state-dependent
interactive method for query formulation over a multi-
dimensional information space.
A browsing scenario consists of applying (or removing) filter restrictions defined by
object-valued properties or of changing the range of a property value of various data
types.

[Google Shopping]
Faceted Browsing - Example

Faceted Browsing - Example
[Google Shopping]

Choke Points
! In a browsing scenario it is the efficient transition
from one state to next one that determines the user
experience !
Three basic types of transition
1. Class-based transition
2. Property- or property path-based transition
3. Entity type switch

Choke Points
We collected a list of 14 choke points:

Scenarios
• make sense in a real-world browing scenario and
• cover all types of transitions as specified by the choke points

Key Performance Indicators
• Instance retrieval:
• Query-per-second score
• Precision
• Recall
• F1-Score
• Facet counts:
• Query-per-second score
• Several metrics for accuracy
Over all queries and for each choke point
individually

MOCHA Challenge at ESWC 2017
Benchmark on Faceted Browsing was part of the
Mighty Storage Challenge at the ESWC 2017
Two participants vs. baseline system
• QUAD by Ontos
• Virtuoso 8.0 Commercial Edition (beta release)
vs. Virtuoso 7.2 Open-Source Edition
No results for QUAD due to time out.

Preliminary results
Georgala, Spasic, Jovanovik, Petzka, Röder, Ngonga Ngomo. MOCHA2017: The Mighty Storage Challenge at ESWC 2017, ESWC challenge proceedings (Springer)

Problems for generic solutions
Dependency issue

Problems for generic solutions
Non-changing transitions

Problems for generic solutions
Tree-based transitions

Thank you!
http://project-hobbit.eu https://twitter.com/hobbit_project
This work was supported by grants from the EU H2020 Framework Programme provided for the
project HOBBIT(GA no. 688227).

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Benchmarking Faceted Browsing Capabilities of Triple Stores

1. Benchmarking Faceted Browsing Capabilities of Triple Stores Horizon 2020 GA No 688227 01/12/2015 – 30/11/2018 Henning Petzka, Claus Stadler, Georgios Katsimpras, Bastian Haarmann, Jens Lehmann 13.09.2017 SEMANTiCS Amsterdam 2017

2. HOllistic Benchmarking of Big lInked daTa Rationale: A community-driven unified benchmarking platform for the community • Focus on Big Linked Data • Provide benchmarks and baselines • Provide reference implementation of KPIs • Extensible and referenceable • Result analysis • Open Source http://project-hobbit.eu

4. Platform Overview

7. • Benchmarks I: Generation & Acquisition measures performance of SPARQL query processing systems when faced with streams of data in terms of efficiency and completeness • Benchmarks II: Analysis & Processing test performance on instance matching tools for Linked Data and performance on machine learning methods for data analytics • Benchmarks III: Storage & Curation has its focus on storage components and versioning systems to efficiently manage evolving linked datasets • Benchmarks IV: Visualization & Services has its focus on benchmarks regarding question answering and faceted browsing.

8. Faceted Browsing stands for a session-based and state-dependent interactive method for query formulation over a multi- dimensional information space. A browsing scenario consists of applying (or removing) filter restrictions defined by object-valued properties or of changing the range of a property value of various data types.

9. [Google Shopping] Faceted Browsing - Example

10. Faceted Browsing - Example [Google Shopping]

11. Choke Points ! In a browsing scenario it is the efficient transition from one state to next one that determines the user experience ! Three basic types of transition 1. Class-based transition 2. Property- or property path-based transition 3. Entity type switch

12. Choke Points We collected a list of 14 choke points:

13. The underlying dataset

14. Scenarios • make sense in a real-world browing scenario and • cover all types of transitions as specified by the choke points

15. Key Performance Indicators • Instance retrieval: • Query-per-second score • Precision • Recall • F1-Score • Facet counts: • Query-per-second score • Several metrics for accuracy Over all queries and for each choke point individually

16. MOCHA Challenge at ESWC 2017 Benchmark on Faceted Browsing was part of the Mighty Storage Challenge at the ESWC 2017 Two participants vs. baseline system • QUAD by Ontos • Virtuoso 8.0 Commercial Edition (beta release) vs. Virtuoso 7.2 Open-Source Edition No results for QUAD due to time out.

17. Preliminary results Georgala, Spasic, Jovanovik, Petzka, Röder, Ngonga Ngomo. MOCHA2017: The Mighty Storage Challenge at ESWC 2017, ESWC challenge proceedings (Springer)

18. Problems for generic solutions Dependency issue

19. Problems for generic solutions Non-changing transitions

20. Problems for generic solutions Tree-based transitions

21. Thank you! http://project-hobbit.eu https://twitter.com/hobbit_project This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT(GA no. 688227).

Benchmarking Faceted Browsing Capabilities of Triple Stores

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