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TU Berlin

Inhalt des Dokuments

Program & Slides

Thursday, 8th December - room H2036 (Main building)
Invited talk: David Bowden (Dell EMC Ireland)
Title : "Streaming Reasoning" will it pay?
Abstract: In recent years there has been an astonishing growth of real-time data feeds, from IoT and video cameras to financial transactions, and an entirely new industry has arisen for the instantaneous analysis of social media to gauge public sentiment. Businesses and organisations have long used decision support systems (DSS) for off-line data analysis. Real-time feeds open up a whole new set of opportunities; if only we can harness that power and make it deliver tangible value to businesses and organisations. This session considers several real-world examples of processing streaming data, the value it can provide to the organisations, and the technical and social challenges that have to be overcome.
Coffee break
Session 1: 5 talks 15smin+3min & Wrap up 15-30minutes

1) Daniele Dell'Agilo: On Unified Stream Reasoning  
2) Javier Fernadez: RDF Archiving and RDF Streaming: Two Sides of the Same Coin
3) Peter Janacik: Responsive Analytics of Highly-Connected Big Data
4) Ruben Taelman: (Low-cost) Publication and Querying of Dynamic Data

5) Riccardo Tommasini: Heaven: a framework for systematic comparative research approach for RSP engines

Invited talk: Boris Motik(Oxford)

Title : A Survey of Incremental Reasoning Algorithm for Datalog Variants
Session 2: 4 talks 15mins+3mins & wrap up 15-50mins

6) Minh Dao-Tran: Stream Reasoning with LARS

7) Hamid Bazoobandi: Dipper: a LARS-based Stream Reasoner

8) Konstantin Schekotihin: LotTraveler: flexible on-line job management with ASP
9) Stefan Ellmauthaler: Inconsistency Management in Reactive Multi-Context Systems

10) Jörg Pührer: Stream Packing for Asynchronous Multi-Context Systems

Coffee break
Session 3: 5 talks 15min+3min & wrap up 15-30mins

11) Bhargav Bhatt: Event-Rate Independent Monitoring of Metric Temporal Logic

12) Mattias Tiger: Stream Reasoning Combining Logic and Probabilistic Reasoning

13) Alexander Artikis: Online Learning for Stream Reasoning

14) Jean-Paul Calbimonte: Connecting Stream Reasoners on the Web

from 18.30 -
Dinner at Tiergartenquelle
Friday, 9th December - room 3013 (Main building)
Invited talk: Tillmann Rabl
Title: Towards Declarative Stream Processing using Apache Flink
: Apache Flink is an open source system for expressive, declarative, fast, and efficient data analysis on both batch and streaming data. Flink combines the scalability and programming flexibility of distributed MapReduce-like platforms with the efficiency, out-of-core execution, and query optimization capabilities found in parallel databases. At its core, Flink builds on a distributed dataflow runtime that unifies batch and incremental computations over a true-streaming, pipelined execution engine. Its programming model allows for stateful, fault tolerant computations, flexible user-defined windowing semantics for streaming and unique support for iterations. Flink is converging into a use-case complete system for parallel data processing with a wide range of top level libraries including machine learning and graph processing. Apache Flink originates from the Stratosphere project led by TU Berlin and incorporates the results of various scientific papers published in VLDBJ, SIGMOD, (P)VLDB, ICDE, HPDC, etc.
Coffee break
Session 4: 5 talks 15mins+3mins & Wrap up: 15-30 mins

15) Alexander Willner: Fog-based Stream Reasoning for the Industrial Internet of Things

16) Marcin Wylot: Provenance and Stream

17) Andreas Harth: Reasoning in Dynamical Systems on the Web: Classification and Challenges

18) Adrian Paschke: Provalets – Microservice-based Mobile Rule Agents for Semantic Complex Event Processing

19) James Anderson: Streaming linked data based on transaction time queries in dydra
Conclusion and Next workshop (in Zurich)



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