International Workshop on Reactive Concepts in Knowledge Representation 2014
ReactKnow 2014 is a Workshop of ECAI 2014 and was held in August 2014 in Prague.
Scope and Aim
In the field of Artificial Intelligence (AI), the subdomain of Knowledge Representation (KR) has the aim to represent, integrate, and exchange knowledge in order to provide reasoning about given and potentially incomplete information.
While most traditional KR formalisms are concerned with knowledge bases that do not change over time or are only subject to occasional revisions, the advent of smart devices and recent advances in Internet technology - guided by the visions of a Semantic Web and the Internet of Things - has increased the interest in online applications that are able to directly react on a possibly infinite stream of external information such as sensor or network data. While current approaches for handling continuous stream data focus on rapid data processing, they lack complex reasoning capacities.
Recent endeavours try to combine KR formalisms such as answer-set programming, Semantic Web ontologies, and multi-context systems with stream processing for providing knowledge-intense stream reasoning capabilities to various application areas such as urban computing, ambient assisted living, robotics, or dynamic scheduling.
The goal of making sophisticated KR techniques accessible in the reactive setting poses many scientific challenges how to deal with emerging as well as expiring data in a seamless way.
The International Workshop on Reactive Concepts in Knowledge Representation (ReactKnow) aims to provide an international forum for researchers in the AI and KR community to discuss and present advances in theories, formalisms, and applications to get closer to the vision of an artificial intelligence system which may react according to changing knowledge.
Topics of Interest include (but are not limited to):
- Formalisms and Semantic Foundations
- Stream based and reactive extensions of established formalisms (SPARQL, ASP, Description Logics, Databases, ...),
- Heterogenous Reactive Reasoning
- Parallelism in Reactive Reasoning
- Advances in Reasoning about Action
- Hybrid Reactive Systems
- Quantitative Methods for Reactive Reasoning
- Formal Aspects of Handling Sensor Data
- Reactive Multi-Agent Systems
- Nonmonotonicity in Reactive Systems
- Reactive Reasoning over Big Data
- Time-based logics
- Reactive Multi-Context Systems
- Online Commonsense Reasoning
- Reactive Cloud Computing
- Complexity Aspects
- Modelling and Systems:
- Software Engineering and Modelling for Reactive Formalisms
- Reactive Concepts in the Semantic Web
- Applications in AI (Agents, Robotics, Dynamic Scheduling, ...)
- Ambient Intelligence
- Web 3.0
- Industrial Applications
2014/08/28 Pictures taken during the event are available
2014/08/13 Our (informal) Proceedings are available
2014/07/28 The programme is available
2014/06/27 Invited speaker: Michael Fink (TU Vienna)
2014/06/24 List of accepted papers is online
2014/05/23 Workshop deadline EXTENDED
2014/02/28 Call for Papers is online
2014/02/27 Workshop Posters [color|b/w] are available
2014/02/13 Workshop Website is online
- Paper submission deadline:
May 25, 2014 May 30, 2014 EXTENDED!
- Notification of acceptance: June 23, 2014
- Camera-ready papers due: July 18, 2014
- Workshop date: August 19, 2014
Call for Papers
Download the Call for Papers here.
Submitted papers must be formatted according to the camera-ready style for ECAI'14 (http://ecai2014.guarant.eu/ecai2014.tar.gz) using the LaTeX-template and submitted electronically in PDF format through easychair. Authorship is not anonymous. Papers must not exceed six (6) pages excluding references and appendices. Note that reviewers are not obliged to take the appendices into account.
The submission page is available at
Papers already published at other conferences and that can be of interest for the workshop audience are welcomed to ReactKnow 2014, provided that the initial publication is mentioned in a footnote on the first page.
|09:30 - 10:30||Session I|
|Michael Fink||Invited Talk: On Reactive Concepts for Multi-Context Systems and HEX-Programs|
10:30 - 11:00
11:00 - 12:30
|Matthias Thimm||Towards Large-scale Inconsistency Measurement|
|Gerhard Brewka, Stefan Ellmauthaler, and Jörg Pührer||Multi-Context Systems for Reactive Reasoning in Dynamic Environments|
|Harald Beck, Minh Dao-Tran, Thomas Eiter, and Michael Fink||Towards Ideal Semantics for Analyzing Stream Reasoning|
12:30 - 14:00
14:00 - 15:30
|Ricardo Gonçalves, Matthias Knorr, and Joao Leite||Towards Efficient Evolving Multi-Context Systems (Preliminary Report)|
|Ricardo Gonçalves, Matthias Knorr, and Joao Leite||On Minimal Change in Evolving Multi-Context Systems (Preliminary Report)|
|Stefan Ellmauthaler and Jörg Pührer||Asynchronous Multi-Context Systems|
15:30 - 16:00
16:00 - 17:00
|Jörg Pührer||Towards a Simulation-Based Programming Paradigm for AI Applications|
|Alexander Artikis, Marek Sergot, and Georgios Paliouras||Reactive Reasoning with the Event Calculus|
Invited Talk: "On Reactive Concepts for Multi-Context Systems and HEX-Programs"
Michael Fink, Vienna University of Technology (TU Vienna)
In this talk we will first briefly review the Multi-Context Systems (MCS) framework as proposed by Brewka and Eiter. It provides a declarative, rule-based approach to model the flow of information among different reasoning components, called contexts, by means of so-called bridge rules. More specifically, we will then consider a generalization of MCS called managed MCS (mMCS). While bridge rules were originally designed to add information to a context on the basis of beliefs held at other contexts, in an mMCS bridge rules can model arbitrary operations on a context knowledge base. Our motivation to review mMCS stems form the fact that this enhanced capability has recently triggered follow-up research that takes mMCS as the basis for modeling dynamic and reactive reasoning systems.
In the second part of the talk we will turn to implementation aspects and sketch how the semantics (i.e., equilibria) can be computed for a class of mMCS (admitting centralized control) using HEX-programs. The letter essentially extend logic programs under the answer-set semantics with external atoms for incorporating external sources of information and computation. However, HEX-programs per se turn out to be inapt as a programming paradigm for modeling stateful computation with declarative control, as, e.g., required to implement dynamic, reactive extensions. For this purpose, and as a promising programming language for prototyping dynamic and reactive reasoning systems, we propose ACTHEX-programs that allow for action atoms in the head of rules which can actually effect changes to an external environment.
Michael Fink is a senior PostDoc researcher at the Institute of Information
Systems at the Vienna University of Technology (TU Wien). He
received his Masters and PhD degree in computer science from TU Wien
in 2000 and 2002, respectively. Past and present research and
teaching activities center on knowledge representation and reasoning (KRR)
based on computational logic and logic programming, particularly
related to paraconsistent reasoning, information integration,
declarative planning, and intelligent software agents.
In these areas he has contributed to several national and international
projects. He has been the principal investigator of a WWTF project on
inconsistency management in Multi-Context Systems and currently is co-leading
an FWF project on distributed heterogeneous stream reasoning.
Michael Fink has published more than 80 articles in books, journals,
conference and workshop proceedings, and recently received the ICLP
2013 Test of Time award. He served on the program committee of renowned
international conferences in artificial intelligence and logic
programming, such as AAAI, IJCAI, ECAI, KR, LPNMR and JELIA; and has
co-organized KR 2014 as well as several international workshops in the
areas of KRR and logic programming.
reactknow [at] informatik [dot] uni-leipzig [dot] de