 
PLP 2018 : The 5th Workshop on Probabilistic Logic Programming  
Link: http://stoics.org.uk/plp/plp2018/  
 
Call For Papers  
A workshop of the 28th International Conference on Inductive Logic Programming (ILP2018)
Overview  Probabilistic logic programming (PLP) approaches have received much attention in this century. They address the need to reason about relational domains under uncertainty arising in a variety of application domains, such as bioinformatics, the semantic web, robotics, and many more. Developments in PLP include new languages that combine logic programming with probability theory, as well as algorithms that operate over programs in these formalisms. The workshop encompasses all aspects of combining logic, algorithms, programming and probability. PLP is part of a wider current interest in probabilistic programming. By promoting probabilities as explicit programming constructs, inference, parameter estimation and learning algorithms can be ran over programs which represent highly structured probability spaces. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas of probabilistic programming. It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field. PLP reasoning often requires the evaluation of large number of possible states before any answers can be produced thus braking the sequential search model of traditional logic programs. While PLP has already contributed a number of formalisms, systems and well understood and established results in: parameter estimation, tabling, marginal probabilities and Bayesian learning, many questions remain open in this exciting, expanding field in the intersection of AI, machine learning and statistics. This workshop provides a forum for the exchange of ideas, presentation of results and preliminary work, in the following areas * probabilistic logic programming formalisms * parameter estimation * statistical inference * implementations * structure learning * reasoning with uncertainty * constraint store approaches * stochastic and randomised algorithms * probabilistic knowledge representation and reasoning * constraints in statistical inference * applications, such as * bioinformatics * semantic web * robotics * probabilistic graphical models * Bayesian learning * tabling for learning and stochastic inference * MCMC * stochastic search * labelled logic programs * integration of statistical software The above list should be interpreted broadly and is by no means exhaustive. Purpose  The fifth edition of PLP is held at the ILP conference in Ferrara. We hope that this encourages further collaboration between researchers in PLP and researchers working in other areas of ILP. In particular, we hope that both (a) other ILP researchers will become interested in using PLP formalisms and (b) that PLP researchers are inspired by other inductive learning approaches. Submissions  Submissions will be managed via EasyChair (https://easychair.org/conferences/?conf=plp2018). Contributions should be prepared in the LNCS style. A mixture of papers are sought including: new results, work in progress as well as technical summaries of recent substantial contributions. Papers presenting new results should be 612 pages in length. Work in progress and technical summaries can be shorter (25 pages). The workshop proceedings will clearly indicate the type of each paper. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Registration  The fee for participating in PLP 2018 is 50€ before August 15th and 70€ after. It includes coffee breaks and lunch. Registration is managed through the RAID registration system: http://raid2018.unife.it/registration/. Registrations are open from May 9th to August 31st 2018. Publication  Proceedings will be stored permanently in the form of CEUR Workshop Proceedings (http://ceurws.org/). The proceedings will consist of clearly marked sections corresponding to the different types of submissions accepted. Special Issue of IJAR  Like for past additions of PLP, we plan to invite all authors to submit a revised version of their paper for a Probabilistic Logic Programming special issue of the IJAR journal. Deadlines  Papers due: 11th June 2018 ) 21st June 2018 Notification to authors: 11th July 2018 Camera ready version due: 27th July 2018 Workshop day: 1st September 2018 (the deadline for all dates is 23:59 BST) Invited Speaker(s)  Riccardo Zese, University of Ferrara, Italy Angelika Kimmig, Cardiff University, UK *** Colocated Events ***  The workshop is part of the Relational Artificial Intelligence Days (RAID) organized in Ferrara, which include: Before  ACAI Summer School 2018: Courses on Statistical Relational Artificial Intelligence, 27th  31st August 2018 After  ILP 2018: Inductive Logic Programming Conference, 2nd  4th September 2018 http://raid2018.unife.it/ Program Chairs  Elena Bellodi (Department of Engineering, University of Ferrara, Italy) Tom Schrijvers (Department of Computer Science, KU Leuven, Belgium) Programme Committee  Krysia Broda (Imperial College, UK) Henning Christiansen (Roskilde University, Denmark) Fabio Cozman (University of São Paulo, Brazil) Luke Dickens (University College London, UK) Sriraam Natarajan (The University of Texas at Dallas, USA) Matthias Nickles (National University of Ireland, Ireland) Rolf Schwitter (Macquarie University, Australia) Chungchieh Shan (Indiana University Bloomington, USA) Senior Committee  Nicos Angelopoulos (Sanger Institute, UK) Vitor Santos Costa (Universidade do Porto, Portugal) James Cussens (University of York, UK) Arjen Hommersom (Open University, The Netherlands) Angelika Kimmig (KU Leuven, Belgium) Evelina Lamma (University of Ferrara, Italy) David Poole (University of British Columbia, Canada) Luc De Raedt (KU Leuven, Belgium) Fabrizio Riguzzi (University of Ferrara, Italy) Alessandra Russo (Imperial College, UK) Joost Vennekens (KU Leuven, Belgium) 
