Program
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Program at a glance
Detailed program
Monday – 19 July 2010
08:30 Registration (Front of Aula Magna)
09:00 Welcome & Orientation (Aula Magna)
09:15 Invited Talk (Aula Magna) – Translational Bioinformatics: Challenges and Opportunities for Case-Based Reasoning and Decision
Support
Professor Riccardo Bellazzi
10:15 Coffee break
10:30 Applications Track I / Computer Cooking Contest Workshop
Applications Track I (Aula Magna)
Chair Professor Jerzy Surma
10:30 – jCOLIBRI CBR Framework
Juan A. Recio García
11:00 – DrillEdge - case-based reasoning application for monitoring and knowledge management in oil well drilling
Frode Sørmo, Odd Erik Gundersen
11:30 – Flexible genome retrieval for supporting in-silico studies of endobacteria-AMFs
Stefania Montani, G. Leonardi, S. Ghignone, L. Lanfranco
12:00 – Bayesian Model Averaging for Case-based Reasoning in Bioinformatics
Isabelle Bichindaritz
Computer Cooking Contest Workshop (Aula 101)
Chair Professors Amélie Cordier and David Aha
10:30 – Introduction
10:45 – Approximating Knowledge of Cooking in High-Order Functions, A Case Study of Froglingo
Kevin H. Xu, Jingsong Zhang and Shelby Gao
11:00 – JADAWeb: A CBR System for Cooking Recipes
Miguel Ballesteros, Raul Martin and Belen Díaz-Agudo
11:15 – Adaptation of Cooking Instructions Following the Workflow Paradigm
Mirjam Minor, Ralph Bergmann, Sebastian Görg and Kirstin Walter
11:30 – TAAABLE 3: Adaptation of Ingredient Quantities and of Textual Preparations
Alexandre Blansché, Julien Cojan, Valmi Dufour-Lussier, Jean Lieber, Pascal Molli, Emmanuel Nauer, Hala Skaf-Molli
and Yannick Toussaint
11:45 – On-Demand Recipe Processing Based on CBR
Régis Newo, Kerstin Bach, Alexandre Hanft and Klaus-Dieter Althoff
12:00 – Evaluation and Discussion
12:30 Lunch break
13:30 Applications Track II / Doctoral Consortium
Applications Track II (Aula Magna)
Chair Professor Jerzy Surma
13:30 – Strategos - CBR in Small and Medium Enterprises
Jerzy Surma
14:00 – A Case-based Approach to Business Process Monitoring
Stefania Montani, Georgio Leonardi
14:30 – Discussion
Doctoral Consortium (Aula 101)
Chair Professor Klaus-Dieter Althoff
13:30 – Personal discussion of each PhD student with their respective mentor
13:55 – Case-based plan diversity
Alexandra Coman
14:20 – Different strategies to learning case adaptation knowledge in classification problems
Mikhail Kalinkin
14:45 – Knowledge-intensive case based classification applied in medical diagnosis
Abdeldjalil Khelassi
15:30 Coffee break
15:45 Computer Cooking Contest Finale
17:15 End of Sessions
18:00 Welcome Reception (Palazzo Monferrato)
Tuesday – 20 July 2010
08:30 Registration (Front of Aula Magna)
09:00 Workshop Session I
CBR for Computer Games Workshop (Aula 101)
Chair Professors Manish Mehta, Santiago Ontañon, and Antonio A. Sánchez-Ruiz
9:15 – Introduction and Goals of the Workshop
9:30 – Invited Talk: Artificial Intelligence for Games: Challenges and Opportunities
Pedro A. Gonzalez Calero
10:10 – Using Automated Replay Annotation for Case-Based Planning in Games
Ben Weber and Santiago Ontañón
Reasoning from Experiences on the Web Workshop (Aula 102)
Chair Professors Derek Bridge, Sarah Jane Delany, Enric Plaza, Barry Smyth, and Nirmalie Wiratunga
9:15 – Welcome
9:20 – Overview of Experience Web
9:30 – Conversational Framework for Web Search and Recommendations
Saurav Sahay and Ashwin Ram
9:50 – The GhostWriter-2.0 System: Creating a Virtuous Circle in Web 2.0 Product Reviewing
Paul Healy and Derek Bridge
10:10 – On Retaining Web Search Cases
David Leake and Jay Powell
10:30 Coffee break
10:45 Workshop Session II
CBR for Computer Games Workshop (Aula 101)
Chair Professors Manish Mehta, Santiago Ontañon, and Antonio A. Sánchez-Ruiz
10:45 – Feature Selection for CBR in Imitation of RoboCup Agents: A Comparative Study
Edgar Raul Acosta Villaseñor, Babak Esfandiari and Michael W. Floyd
11:05 – Toward a Domain-Independent Case-Based Reasoning Approach for Imitation: Three Case Studies in Gaming
Michael Floyd and Babak Esfandiari
11:25 – Meta-Level Behavior Adaptation in Real-Time Strategy Games
Manish Mehta, Santiago Ontañón and Ashwin Ram
11:45 – Online Micro-Level Decision Making in Real-Time Strategy Games: A Case-Based Reasoning and Reinforcement Learning
Approach
Chad Mowery, Nathan Spencer and Isabelle Bichindaritz
12:05 – MMPM: a Generic Platform for Case-Based Planning Research
Pedro-Pablo Gómez Martín, David LLansó, Marco Antonio Gómez Martín, Santiago Ontañón and Ashwin Ram
12:25 – Closing Remarks
Reasoning from Experiences on the Web Workshop (Aula 102)
Chair Professors Derek Bridge, Sarah Jane Delany, Enric Plaza, Barry Smyth, and Nirmalie Wiratunga
11:00 – Enabling Case-Based Reasoning on the Web of Data
Benjamin Heitmann and Conor Hayes
11:20 – Deriving Case Base Vocabulary from Web Community Data
Kerstin Bach, Christian Severin Sauer and Klaus-Dieter Althoff
11:40 – Similarity Assessment through Blocking and Affordance Assignment in Textual CBR
Rajendra Prasath and Pinar Öztürk
12:00 – Panel Discussion
Conor Hayes, David Leake and Enric Plaza
12:30 Lunch break
13:30 Workshop Session III
CBR Startups Workshop (Aula 101)
Chair Professors Ashwin Ram and Saurav Sahay
13:30 – Introduction and Context
Ashwin Ram
13:40 – Barry Smyth, University College Dublin; Founder, HeyStaks
14:00 – Peter Funk, Mälardalen University; Founder, FunkAI
14:20 – Frode Sørmo, Norwegian University of Science and Technology; Founder, Verdande
14:40 – Panel Discussion with Open Audience Questions
15:10 – 3-Minute CBR Gauntlet Pitch Competition
15:30 – Meetup/Break-Out Session
15:50 – Close and Announcements
Ashwin Ram
Provenance Aware CBR Workshop (Aula 102)
Chair Professors David Leake, Thomas Roth-Berghofer, Barry Smyth, and Joseph Kendall-Morwick
13:30 – Welcome and Overview
13:40 – Session I: Provenance for Case Capture and Enriching the CBR Process
Dynamic Case-Based Reasoning for Contextual Reuse of Experience
Amélie Cordier, Bruno Mascret and Alain Mille
External Provenance, Internal Provenance, and Case-Based Reasoning
David Leake and Joseph Kendall-Morwick
Towards a Lazier Approach to Problem Solving in Case-Based Reasoning
David McSherry
14:50 – Session II: Provenance to Support Explanation
From Provenance-Awareness to Explanation-Awareness---When Linked Data Is Used for Case Acquisition from Texts
Thomas Roth-Berghofer and Benjamin Adrian
Explanations in Bayesian Networks using Provenance through Case-Based Reasoning
Anders Kofod-Petersen, Agnar Aamodt and Helge Langseth
15:30 – Session III: General Discussion of Provenance-Aware CBR
Next Steps for Advancing Investigation of PA-CBR
16:00 Coffee break
16:15 Poster Session
17:30 End of Sessions
Poster Session Papers
A Case Based Reasoning Approach for the Monitoring of Business Workflows
Stelios Kapetanakis, Miltos Petridis, Brian Knight, Jixin Ma, Liz Bacon
A Case-Based Reasoning Approach to Automating the Construction of Multiple Choice Questions
David McSherry
A Method Based on Query Caching and Predicate Substitution for the Treatment of Failing Database Queries
Olivier Pivert, Helene Jaudoin, Carmen Brando, Allel Hadjali
a.SCatch - Semantic Structure for Architectural Floor Plan Retrieval
Markus Weber, Christoph Langenhan, Thomas Roth-Berghofer, Marcus Liwicki, Andreas Dengel, Frank Petzold
Case Based Reasoning with Bayesian Model Averaging: an Improved Method for Survival Analysis on Microarray Data
Isabelle Bichindaritz, Amalia Annest
Case Retrieval with Combined Adaptability and Similarity Criteria:Application to Case Retrieval Nets
Nabila Nouaouria, Mounir Boukadoum
CBTV: Visualising Case Bases for Similarity Measure Design & Selection
Brian Mac Namee, Sarah Jane Delany
Detecting Change via Competence Model
Ning Lu, Guangquan Zhang, Jie Lu
Extending CBR with Multiple Knowledge Sources from Web
Juan A. Recio-Garcia, Miguel A. Casado-Hernandez, Belen Diaz-Agudo
Improving Pervasive Application Behavior Using Other Users' Information
Michael Spence, Siobh_an Clarke
On-the-Fly Adaptive Planning for Game-Based Learning
Ioana Hulpus, Conor Hayes, Manuel Fradinho
Recognition of Higher-order Relations Among Features in Textual Cases Using Random Indexing
Pinar Ozturk, Rajendra Prasath
Reexamination of CBR Hypothesis
Xi-feng Zhou, Ze-lin Shi, Huai-ci Zhao
Text Adaptation Using Formal Concept Analysis
Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer, Yannick Toussaint
The Utility Problem for Lazy Learners - Towards a non-Eager Approach
Tor Gunnar Houeland, Agnar Aamodt
User Trace-Based Recommendation System for a Digital Archive
Reim Doumat, Elod Egyed-Zsigmond, Jean-Marie Pinon
Visualization for the Masses: Learning from the Experts
Jill Freyne, Barry Smyth
Wednesday – 21 July 2010
08:30 Registration (Front of Aula magna)
09:00 Welcome (Aula magna)
09:15 Workshop Summaries
09:45 Invited Talk – Why and How Knowledge Discovery can be Useful for Solving Problems with CBR
Professor Amedeo Napoli
10:45 Coffee break
11:00 Paper Session I: Adaptation & Reuse (Chair Professor Agnar Aamodt)
11:00 – Amalgams: A Formal Approach for Combining Multiple Case Solutions
Santiago Ontañon, Enric Plaza
11:25 – An Algorithm for Adapting Cases Represented in an Expressive Description Logic
Julien Cojan, Jean Lieber
11:50 – A General Introspective Reasoning Approach to Web Search for Case Adaptation
David Leake, Jay Powell
12:15 Lunch break
13:30 Paper Session II: Learning & Knowledge Elicitation (Chair Professor David Aha)
13:30 – Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urban, Hector Muñoz-Avila
13:55 – Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based
Generalization
Matt Dilts, Hector Muñoz-Avila
14:20 – A Case for Folk Arguments in Case-Based Reasoning
Luis A. L. Silva, John A. Campbell, Nicholas Eastaugh, Bernard F. Buxton
14:45 – Intelligent data interpretation and case base exploration through Temporal Abstractions
Alessio Bottrighi, Giorgio Leonardi, Stefania Montani, Luigi Portinale, Paolo Terenziani
15:10 Coffee break
15:25 Paper Session III: Planning (Chair Professor Enric Plaza)
15:25 – Case-based Plan Diversity
Alexandra Coman, Hector Muñoz-Avila
15:50 – Goal-Driven Autonomy with Case-Based Reasoning
Hector Muñoz-Avila, David W. Aha, Ulit Jaidee, Elizabeth Carter
16:15 PC Meeting
17:15 End of Sessions and Transportation to Gala Dinner
18:00 Gala Dinner Ristorante Antico Monastero – Lu Monferrato
Thursday – 22 July 2010
08:30 Registration (Front of Aula magna)
09:30 Invited Talk – Real-Time Case-Based Reasoning for Interactive Digital Entertainment
Professor Ashwin Ram
10:30 Coffee break
10:45 Paper Session IV: Textual CBR (Chair Professor Susan Craw)
10:45 – EGAL: Exploration Guided Active Learning for TCBR
Rong Hu, Sarah Jane Delany, Brian Mac Namee
11:10 – Applying Machine Translation Evaluation Techniques to Textual CBR
Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothian, Susan Craw
11:35 – Taxonomic Semantic Indexing for Textual Case-Based Reasoning
Juan Recio-Garcia, Nirmalie Wiratunga
12:00 – Introspective Knowledge Revision in Textual Case-Based Reasoning
Karthik Jayanthi, Sutanu Chakraborti, Stewart Massie
12:25 Lunch break
13:30 Paper Session V: Tools and Applications (Chair Professor Luigi Portinale)
13:30 - Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation
Yasser Salem, Kevin McCarthy, Barry Smyth
13:55 – Case Acquisition from Text: Ontology-based Information Extraction with SCOOBIE for myCBR
Thomas Roth-Berghofer, Benjamin Adrian, Andreas Dengel
14:20 – Runtime Estimation Using the Case-based Reasoning Approach for Scheduling in a Grid Environment
Edward Xia, Igor Jurisica, Julie Waterhouse, Valerie Sloan
14:45 – Towards Case-Based Adaptation of Workflows
Mirjam Minor, Ralph Bergmann, Sebastian Goerg, Kirstin Walter
15:10 – Similarity-Based Retrieval & Solution Re-Use Policies in the Game of Texas Hold'em
Jonathan Rubin, Ian Watson
15:35 Community Meeting & Closing
17 End of Sessions
Invited Speakers
Professor Riccardo Belazzi
Short Bio: Riccardo Bellazzi is Associate Professor of Medical Informatics at the Dipartimento di Informatica e Sistemistica, University of Pavia, Italy. He teaches Medical Informatics and Machine Learning at the Faculty of Biomedical Engineering and Bioinformatics at the Faculty of Biotechnology of the University of Pavia. He is a member of the board of the PhD in Bioengineering and Bioinformatics of the University of Pavia. Dr. Bellazzi is past-chairman of the IMIA working group of Intelligent Data Analysis and Data Mining, program chair of Medinfo 2010, the world conference on Medical Informatics and of the AIME 2007 conference; he is also part of the program committee of several international conferences in medical informatics and artificial intelligence. On November 2009 he has been elected as Fellow of the American College of Medical Informatics. Since September 2010 he will be part of the board of the International Medical Informatics Association, as Vice-President for Medinfo. He is member of the editorial board of Methods of Information in Medicine and of the Journal of Diabetes Science and Technology. He is affiliated with the American Medical Informatics Association and with the Italian Bioinformatics Society. His research interests are related to biomedical informatics, comprising data mining, IT-based management of chronic patients, mathematical modelling of biological systems, bioinformatics. Riccardo Bellazzi is author of more than 200 publications in peer-reviewed journals and international conferences.
Presentation: Translational bioinformatics: challenges and opportunities for CBR and decision support systems
Translational bioinformatics is bioinformatics applied to human health. Although, up to now, its main focus has been to support molecular medicine research, translational bioinformatics has now the opportunity to design clinical decision support systems based on the combination of -omics data and internet-based knowledge resources. The paper describes the state-ofart of translational bioinformatics highlighting challenges and opportunities for decision support tools and case-based reasoning. It finally reports the design of a new system for supporting diagnosis in dilated cardiomyopathy. The system is able to combine text mining, literature search, and case-based retrieval.
Research Director Amedeo Napoli
Short Bio: Amedeo Napoli is CNRS research director leading the Orpailleur research group at LORIA research laboratory in Nancy, France (an orpailleur is the man who is searching for gold, and gold here is knowledge...).The goal of the members of the Orpailleur group is to extract knowledge units from databases, and in sequence, to design knowledge-based systems for reasoning and solving problems in a given domain. His scientific interest are related to artificial intelligence, and especially in knowledge discovery, formal and relational concept analysis, knowledge representation, reasoning, and Semantic Web. Accordingly, the main research theme of the team is “knowledge discovery in databases guided by domain knowledge'', i.e. extracting knowledge units from various data sources, representing the extracted knowledge units, and then solving problems with these units.
Among the methods for knowledge discovery, Amedeo Napoli is a specialist of symbolic methods, such as concept lattice design, lattice-based classification (formal and relational concept analysis), itemset and association rule extraction. Among the methods for knowledge representation, he is a specialist of description logics, object-based representation systems, classification-based reasoning and case-based reasoning.
Amedeo Napoli has been involved in many research projects (international and national) and has authored or co-authored more than a hundred international publications.
Presentation: Why and how knowledge discovery can be useful for solving problems with CBR
In this talk, we discuss and illustrate links existing between knowledge discovery in databases (KDD), knowledge representation and reasoning (KRR), and case-based reasoning (CBR). KDD techniques especially based on Formal Concept Analysis (FCA) are well formalized and allow the design of concept lattices from binary and complex data. These concept lattices provide a realistic basis for knowledge base organization and ontology engineering. More generally, they can be used for representing knowledge and reasoning in knowledge systems and CBR systems as well.
Professor Ashwin Ram
Short Bio: Ashwin Ram is Associate Professor in the Interactive and Intelligent Computing division of the College of Computing of the Georgia Institute of Technology, an Associate Professor of Cognitive Science, and an Adjunct Professor in the School of Psychology. He is the Director of Georgia Tech's Cognitive Computing Lab and founder of Enkia Corporation, a Georgia Tech spinoff that specializes in commercial artificial intelligence software. Dr. Ram received his B.Tech. in Electrical Engineering from the Indian Institute of Technology, New Delhi, in 1982, and his M.S. in Computer Science from the University of Illinois at Urbana-Champaign in 1984. He received his Ph.D. degree from Yale University for his dissertation on "Question-Driven Understanding: An Integrated Theory of Story Understanding, Memory, and Learning" in 1989. Dr. Ram's research interests lie in the areas of artificial intelligence and cognitive science, specifically machine learning, natural language processing, case-based reasoning, educational technology, and artificial intelligence applications. He has more than 90 research publications in these areas. He is a co-editor of a book on Goal-Driven Learning and a book on Understanding Language Understanding: Computational Models of Reading, both published by MIT Press.
Presentation: Real-Time Case-Based Reasoning for Interactive Digital Entertainment
User-generated content is everywhere: photos, videos, news, blogs, art, music, and every other type of digital media on the Social Web. Games are no exception. From strategy games to immersive virtual worlds, game players are increasingly engaged in creating and sharing nearly all aspects of the gaming experience: maps, quests, artifacts, avatars, clothing, even games themselves. Yet, there is one aspect of computer games that is not created and shared by game players: the AI. Building sophisticated personalities, behaviors, and strategies requires expertise in both AI and programming, and remains outside the purview of the end user.
To understand why authoring Game AI is hard, we need to understand how it works. AI can take digital entertainment beyond scripted interactions into the arena of truly interactive systems that are responsive, adaptive, and intelligent. I will discuss examples of AI techniques for character-level AI (in embedded NPCs, for example) and game-level AI (in the drama manager, for example). These types of AI enhance the player experience in different ways. The techniques are complicated and are usually implemented by expert game designers.
I propose an alternative approach to designing Game AI: Real-Time CBR. This approach extends CBR to real-time systems that operate asynchronously during game play, planning, adapting, and learning in an online manner. Originally developed for robotic control, Real-Time CBR can be used for interactive games ranging from multiplayer strategy games to interactive believable avatars in virtual worlds.
As with any CBR technique, Real-Time CBR integrates problem solving with learning. This property can be used to address the authoring problem. I will show the first Web 2.0 application that allows average users to create AIs and challenge their friends to play them—without programming. I conclude with some thoughts about the role of CBR in AI-based Interactive Digital Entertainment.
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