Benchmarking Linked Data Introductory Remarks
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The document discusses the BENCHMARKING LINKED DATA project under Horizon 2020, focusing on creating a community-driven benchmarking framework for big linked data. It outlines key goals, critical questions for developers, vendors, and users, and includes a program agenda for workshops and presentations relating to data lifecycle and performance evaluations. The project HOBBIT is emphasized as an initiative to improve benchmarking practices with the involvement of various stakeholders in the linked data community.
Benchmarking Linked Data Introductory Remarks
- 1. Benchmarking Linked Data Introductory Remarks Axel Ngonga Irini Fundulaki Anastasia Krithara Horizon 2020 GA No 688227 01/12/2016–30/11/2018 ISWC 2016 Kobe, Japan November 10, 2016 Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 1 / 9
- 2. A Lot of Data 1 1http://www.ibmbigdatahub.com/infographic/four-vs-big-data Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 2 / 9
- 3. A Lot of Tools 2 2https://cdn.datafloq.com/cms/os_big_data_open_source_tools-v2.png Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 3 / 9
- 4. Core Questions Developers: How good is my tool? Vendors: Who is my tool good for? Users: Which tool(s) should I use for my application? Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 4 / 9
- 5. Many Questions Where are the current bottlenecks? Which steps of the data lifecycle are critical? Which solutions are available? Which key performance indicators are relevant? How well do or should tools perform? How do existing solutions perform w.r.t. relevant indicators? Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 5 / 9
- 6. Many Questions Goal of BLINK Create a forum where these questions can be discussed and addressed. Where are the current bottlenecks? Which steps of the data lifecycle are critical? Which solutions are available? Which key performance indicators are relevant? How well do or should tools perform? How do existing solutions perform w.r.t. relevant indicators? Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 5 / 9
- 7. HOBBIT Rationale A community-driven benchmarking framework for the community Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 6 / 9
- 8. HOBBIT Rationale A community-driven benchmarking framework for the community Focus on Big Linked Data Build upon 12+K experiments performed with GERBIL Cover all steps of the Linked Data lifecycle Used by a growing number of companies Mature and maturing technologies Open benchmarks based on industrial data and use cases Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 6 / 9
- 9. Program 14:00 – 14:05 Welcome 14:05 – 14:45 Keynote (Stasinos Konstantopoulos): BigDataEurope – Platform Concept and Architecture and its Application to Data-Intensive Science 14:45 – 15:05 Kotsev et al.: Benchmarking RDF Query Engines: The case of Semantic Publishing Benchmark 15:05 – 15:25 Spasić et al.: An RDF Dataset Generator for the Social Net- work Benchmark with Real-World Coherence 15:25 – 15:45 Saveta et al.: How well does your instance matching system perform? Experimental evaluation with LANCE. 15:45 – 16:05 Coffee Break 16:05 – 16:25 Troumpoukis et al.: Developing a Benchmark Suite for Se- mantic Web Data from Existing Workflows 16:25 – 16:45 Papakonstantinou et al.: Versioning for Linked Data: Archiving Systems and Benchmarks 16:45 – 17:05 Lanti et al.: Fast and Simple Data Scaling for OBDA Bench- marks 17:05 – 17:30 Discussion & Closing Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 7 / 9
- 10. Thank You http://project-hobbit.eu/get-involved/ http://goo.gl/forms/1iRIoG4Xpb https://twitter.com/hobbit_project Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 8 / 9
- 11. Acknowledgment This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227). Ngonga Ngomo et al. (InfAI) BLINK November 10, 2016 9 / 9