- Keynote Speakers
- Accepted Regular Papers
- Accepted Short Papers
- Workshops
- Tutorials
- Industry Papers
- Collocated Conferences
- Final Programs
Professor of Computer Science at the University of Waikato in New Zealand where he directs the New Zealand Digital Library research project. His research interests include language learning, information retrieval, and machine learning.
Speech Title: Wikipedia and how to use it for semantic document representation
Abstract: Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as
a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks.
This talk focuses on the process of "wikification"; that is, automatically and judiciously augmenting a plain-text document with pertinent hyperlinks to Wikipedia articles as though the document were itself a Wikipedia article. I first describe how Wikipedia can be used to determine semantic relatedness between concepts. Then I explain how to wikify documents by exploiting Wikipedia's internal hyperlinks for relational information and their anchor texts as lexical information. Data mining techniques are used throughout to optimize the models involved.
I will discuss applications to knowledge-based information retrieval, topic indexing, document tagging, and document clustering. Some of these perform at human levels. For example, on CiteULike data, automatically extracted tags are competitive with tag sets assigned by the best human taggers, according to a measure of consistency with other human taggers. All this work uses English, but involves no syntactic parsing, so the techniques are language independent.
URL:
Professor of Computer Science and Industrial and Systems Engineering at the University of Southern California(USC). He received his Ph.D. from the School of Computer Science at Carnegie Mellon University. He leads the TEAMCORE Research Group at USC, with research is focused on agent-based and multi-agent systems. He is a fellow of AAAI (Association for Advancement of Artificial Intelligence) and recipient of the ACM (Association for Computing Machinery) SIGART Agents Research award. He is also the recipient of a special commendation given by the Los Angeles World Airports police from the city of Los Angeles, USC Viterbi School of Engineering use-inspired research award, Okawa foundation faculty research award, the RoboCup scientific challenge award, and the ACM recognition of service award. Prof. Tambe and his research group's papers have been selected as best papers or finalists for best papers at more than a dozen premier Artificial Intelligence and Operations Research Conferences and workshops, and their algorithms have been deployed for real-world use by several agencies including the LAX police, the Federal Air Marshals service and the Transportation security administration.
Speech Title: Game Theory for Security: Lessons learned from deployed applications
Abstract: Security at major locations of economic or political importance or
transportation or other infrastructure is a key concern around the world,
particularly given the threat of terrorism. Limited security resources prevent
full security coverage at all times; instead, these limited resources must be
deployed intelligently taking into account differences in priorities of
targets requiring security coverage, the responses of the adversaries to the
security posture and potential uncertainty over the types of adversaries
faced.
Game theory is well-suited to adversarial reasoning for security resource
allocation and scheduling problems because it suggests randomized policies that
mitigate a key vulnerability of human plans: predictability. Casting the
problem as a Bayesian Stackelberg game, we have developed new algorithms for
efficiently solving such games to provide randomized patrolling or inspection
strategies; our algorithms are now deployed in multiple applications. ARMOR
(Assistant for Randomized Monitoring over Routes), our first game theoretic
application, has been deployed at the Los Angeles International Airport (LAX)
since August 2007 to randomizes checkpoints on the roadways entering the
airport and canine patrol routes within the airport terminals. IRIS, our second
application, is a game-theoretic scheduler for randomized deployment of the
Federal Air Marshals (FAMS) requiring significant scale-up in underlying
algorithms; IRIS was put into use to generate schedules in late 2009 with first
schedules created by IRIS flown by air marshals starting January 2010. Finally,
GUARDS has been deployed by the TSA (Transportation Security Administration) at
the Pittsburgh and LAX airports starting October 2009 for pilot evaluation with
a goal of potential larger-scale deployments. These applications are leading to
real-world use-inspired research. This talk will outline our algorithms, key
research results and lessons learned from these applications.
Since 1997 Alan Smeaton has been a Professor of Computing at Dublin City University where he is Deputy Director of CLARITY: Centre for Sensor Web Technologies. His research interests are in the management of all kinds of heterogeneous, noisy, and errorsome data. Initially his research focused on searching through text archives and then moved to image search and on to video analysis, indexing and retrieval. Since 2001 Alan has been a founder and coordinator of TRECVid, an annual benchmarking activity with worldwide participation of approximately 400 researchers which measures the effectiveness of content-based operations on video archives. More recently Alan has focused his work on managing information from heterogeneous sensor networks, making sense of the flood of data that comes from sensor applications in fields as diverse as energy monitoring, sports participation, injury rehabilitation, digital lifelogging, and environmental monitoring.
Speech Title: The Sensor Web: Unpredictable, Noisy and Loaded with Errors
Abstract: Classical information retrieval is based around a user having an information need, formulated as a query, and a system which matches the query against 'documents', retrieving those most likely to be relevant. In some applications there are challenges because the 'documents' are not discrete objects but highly inter-connected, and IR research has for decades developed models of the processes, devised novel ranking algorithms, and developed very elaborate benchmarking techniques for performance. But what if the information we need or seek is not neatly divided into documents, either discrete or inter-connected, but needs to be taken from a constant stream of data values, namely data from sensors. These sensors cover the physical sensors around us (environment, place, physical activities like traffic, weather, people movement, crowd gatherings like concerts and sports events) as well as the online sensors we have access to (blogs, tweets, etc.). Often termed the *sensor web*, this information source is characterised as being noisy, errorsome, unpredictable and dynamic, exactly like the real and the virtual worlds in which we live, work and play. In this presentation I introduce several diverse sensor web applications to show the breadth and pervasive nature of the sensor web and I then show some of the techniques which we use to manage the information which forms part of the sensor web.
Professor at the Università Degli Studi di Milano Bicocca, Milano, Italy, where she leads the Information Retrieval research Lab. Her research activity mainly concerns the modelling and design of flexible and personalized systems for the management and access to information. She is actually working on XML retrieval, Personalized Information Retrieval, Information Filtering, Document Clustering, Preference Modelling. She has co-edited seven books e several special issues of International Journals. She has published more than 170 papers on International Journals and Books, and on the Proceeding of International Conferences. She is a member of the Editorial Board of several international journals among which Fuzzy Sets and Systems (Elsevier), Web Intelligence and Agent Systems (IOS Press), and the Journal of Computational Intelligence Systems (IJCIS), Atlantis Press.
Speech Title: Issues on preference-modelling and personalization in Information Retrieval
Abstract:
In recent years there has been a great deal of research about personalization in information access. The main issue is to improve the quality of search by producing user-tailored results related to specific user needs.
In this context two key research problems concerns how to model user preferences, and how to exploit them in effective personalisation processes. This talk will address the above problems, and will discuss some important issues related to their possible solutions. The talk will also point out some research directions worth to be explored.
Biography: Distingushed Professor of the College of Science and Engineering at the University of Minnesota. She specializes in the design of multi-robot and multi-agent systems that are capable of making intelligent decisions. Such systems range from software agents to robots that move in unstructured and unknown environments and to autonomous vehicles that search a city to rescue people after a disaster. She is a Fellow of the AAAI and a Distinguished Scientist of the ACM. She is the chair of the ACM Special Interest Group on Artificial Intelligence (SIGART), a member of the board of the Autonomous Agents and Multi-Agent Systems society, and a member of the CRA-W board co-chairing the Distributed Research Experiences for Undergraduates (DREU) program.
Speech Title: Why robots are more than just agents
Abstract: Robots are more than just agents because they have a physical body and interact with the real world through their sensors and actuators. They also have limited power supply and often limited communications capabilities. In the talk we will explore how this affects the design of robot systems and address open challenges in design, validation, and performance evaluation of robot systems using a variety of examples.
WI 2010 Accepted Regular Papers
How to Improve Your Google Ranking: Myths and Reality
Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, and Cheng-kok Koh
WEST: Weighted-Edge based Similarity Measurement Tools for Word Semantics
Liang Dong, Pradip Srimani, and James Wang
Web Service Selection for Multiple Agents with Incomplete Preferences
Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu, and Peicheng Li
Effective Web Service Selection via Communities Formed by Super-Agents
Yao Wang, Jie Zhang, and Julita Vassileva
Exploiting Puzzle Diversity in Puzzle Selection for ESP-like GWAP Systems
Yu-Song Syu, Hsiao-Hsuan Yu, and Ling-Jyh Chen
Improving Diversity of Focused Summaries Through Negative Endorsements of Redundant Facts
Palakorn Achananuparp and Xiaohua Hu
Business Process Decomposition based on Service Relevance Mining
Zicheng Huang, Jinpeng Huai, Xudong Liu, and Jiangjun Zhu
Automatically Grouping Questions in Yahoo! Answers
Yajie Miao
Image Set Classification using Multi-Layer Multiple Instance Learning with Application to Cannabis Website Classification
Nianhua Xie, Haibin Ling, and Weiming Hu
Identifying Cohesive Subgroups and their Correspondences in Multiple Related Networks
Prakash Mandayam Comar, Pang-Ning Tan, and Anil Kumar Jain
Linked Open Social Signals
Pablo Mendes, Alexandre Passant, Pavan Kapanipathi, and Amit Sheth
Towards Fully Distributed and Privacy-preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data
Jae-wook Ahn and Xavier Amatriain
Chem2Bio2RDF: A Linked Open Data Portal for Chemical Biology
Bin Chen, Ying Ding, Huijun Wang, and David Wild
Niche Product Retrieval in Top-N Recommendation
Mi Zhang and Neil Hurley
Query Answering of Fuzzy Description Logics with Data Type Support
Jingwei Cheng, Z. M. Ma, and Yu Wang
Mining Fine Grained Opinions by Using Probabilistic Models and Domain Knowledge
Qingliang Miao, Qiudan Li, and Daniel Zeng
Coauthor Network Topic Models with Application to Expert Finding
Jia ZENG, William K. Cheung, C.H. Li, and Jiming Liu
Language Models & Topic Models for Personalizing Tag Recommendation
Ralf Krestel and Peter Fankhauser
Making the Most of a Search Session with Maximum Query and Query Cover
Matthias Hagen and Benno Stein
F-Logic#: Loosely Coupling F-Logic Rules and Ontologies
Stijn Heymans, Roman Korf, Michael Erdmann, Joerg Puehrer, and Thomas Eiter
Characteristics Estimation of Information Sources by Information Diffusion Analysis
Kazuhiro Kazama, Miyuki Imada, and Keiichiro Kashiwagi
Lightweight Clustering Methods for Webspam Demotion
Thomas Largillier and Sylvain Peyronnet
The Effects of Query Bursts on Web Search
Ilija Subasic and Carlos Castillo
Semi-automatic Mining of Semantic Descriptions of Processes in the Web
Julia Hoxha and Sudhir Agarwal
Predicting the Future With Social Media
Sitaram Asur and Bernardo Huberman
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
Jong Gun Lee, Sue Moon, and Kave Salamatian
MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages
Chia-Hui Chang and Shu-Ying Lee
Bees Swarm Optimization based Approach for Web Information Retrieval
Habiba Drias and Hadia Mosteghanemi
Hierarchical Cost-sensitive Web Resource Acquisition for Record Matching
Yee Fan Tan and Min-Yen Kan
Discovering Research Communities by Clustering Bibliographical Data
Fabrice MUHLENBACH and Stéphane LALLICH
Finding Resources and Collaborators within Digital Collections
Darina Dicheva and Christo Dichev
A Hybrid Approach to Data Clustering Analysis with K-means and Enhanced Ant-based Template Mechanism
Wei Zhang, Carl K. Chang, Hen-I Yang, and Hsin-yi Jiang
An Adaptive Model for Probabilistic Sentiment Analysis
Xiaohui Yu, Yang Liu, and Aijun An
Expertise Matching via Constrained-based Optimization
Wenbin Tang, Jie Tang, and Chenhao Tan
MQuery: Fast Graph Query via Semantic Indexing for Mobile Context
Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, and Wenbin Tang
Approximate Causal Representations In The Medical Domain
Lawrence Mazlack
The Ethicality of Web Crawlers
Yang Sun, Isaac Councill, and Lee Giles
DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections
Su Yan, Sofien Bouaziz, and Dongwon Lee
CentralMatch: A Fast and Accurate Method to Identify Blog-Duplicates
Heejin Park, Sang-Chul Lee, Soon-Haeng Lee, and Sang-Wook Kim
Ontology-based Specific and Exhaustive User Profiles for Constraint Information Fusion for Multi-Agents
Xiaohui Tao, Yuefeng Li, Raymond Lau, and Shlomo Geva
CollaborativeWeb Search Utilizing Experts? Experiences
Jingyu Sun and Xueli Yu
Impacts of Analysts? Cognitive Styles on the Analytic Process
Eugene Santos Jr., Hien Nguyen, Fei Yu, Deqing Li, and John Wilkinson
Modeling Ontology of Folksonomy with Tags Latent Semantics
ALI DAUD, Juanzi Li, Zhou Lizhu, Lei Zhang, and Ying Ding
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions
Harini Veeraraghavan, Roman Vaculin, and Manuela Veloso
Research Interests : Their Dynamics, Structures and Applications in Web Search Refinement
Yi Zeng, Erzhong Zhou, Yulin Qin, and Ning Zhong
Boosting Biomedical Entity Extraction by using Syntactic Patterns for Semantic Relation Discovery
Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, and Landon Fowles
Learning a Large Scale of Ontology from Japanese Wikipedia
Susumu Tamagawa, Shinya Sakurai, Takuya Tejima, Takeshi Morita, Noriaki Izumi, and Takahira Yamaguchi
Similarity-based Bayesian Learning from Semi-structured Log Files for Fault Diagnosis of Web Services
Xu Han, Zhongzhi Shi, Wenjia Niu, Kunrong Chen, and Xinghua Yang
Probabilistic Metrics for Soft-Clustering and Topic Model Validation
Eduardo Ramirez Rangel, Davide Magatti, Fabio Stella, and Ramon Brena Pinero
Non-negative Matrix Factorization for Multimodal Image Indexing
Juan C. Caicedo, Jaafar Benabdallah, Fabio A. Gonzalez, and Olfa Nasraoui
IAT 2010 Accepted Regular Papers
An Agent Model for Decision Making Based upon Experiences Applied in the Domain of Fighter Pilots
Mark Hoogendoorn, Robbert-Jan Merk, and Jan Treur
An Agent-Based Modeling Approach to Investigate Emergent Patterns in Ecological Systems
Jacintha Ellers, Mark Hoogendoorn, and David Wendt
External Coordination Media in Capacity-Constrained Multiagent Systems
Thomas Kemmerich and Hans Kleine B黱ing
Towards Efficient Equilibria of Combinations of Network-Formation and Interaction Strategies
Bjoern-Oliver Hartmann, Klemens Boehm, and Christian Huetter
The Impacts of Diffusion Kernels on Recognition-Primed Multi-Agent Decision Making
Xiaocong Fan and Meng Su
Distributed Advice-Seeking on an Evolving Social Network
Golriz Rezaei, Jens Pfau, and Michael Kirley
A Distributed and concurrent Framework for Facilitating Cooperation in Dynamic Environments
Toktam Ebadi, Maryam Purvis, and Martin Purvis
Characterization of Revenue Monotonicity in Combinatorial Auctions
Taiki Todo, Atsushi Iwasaki, and Makoto Yokoo
Design and Evaluation of Explainable BDI Agents
Maaike Harbers, Karel Van den Bosch, and John-Jules Meyer
Collaborative Learning of Ontology Fragments by Co-operating Agents
Heather S. Packer, Nick Gibbins, and Nicholas R. Jennings
Enhancing the Interoperability between Multiagent Systems and Service-Oriented Architectures through a Model-Driven Approach
Christian Hahn, Sven Jacobi, and David Raber
A Rich Communication Model in Opportunistic Decentralized Decision Making
Aur閘ie Beynier and Abdel-Illah Mouaddib
Nash Welfare Allocation Problems: Concrete Issues
Antoine Nongaillard, Philippe Mathieu, and Patricia Everaere
Reducing untruthful manipulation in Envy Free Pareto Optimal resource allocation
Roie Zivan, Miroslav Dudik, Steven Okamoto, and Katia Sycara
Multi-HDCS: Solving DisCSPs With Complex Local Problems Cooperatively
David Lee, Ines Arana, Hatem Ahriz, and Kit Hui
An algorithm for multi-robot planning: SGInfiniteVI
Mohamed Amine HAMILA, Emmanuelle GRISLIN-LE STRUGEON, Rene MANDIAU, and Abdel-Illah Mouaddib
Time-Critical Decision Making in Interactive Dynamic Influence Diagram
Yifeng Zeng and Yanping Xiang
Selecting Operator Queries Using Expected Myopic Gain
Robert Cohn, Michael Maxim, Edmund H. Durfee, and Satinder Singh
A Voting-Based Agent System for Course Selection in E-Learning
Ali Aseere, Enrico Gerding, and David Millard
Collaborative Function Approximation in Social Multiagent Systems
Dominik Dahlem and William Harrison
DLB-SDPOP: A Multiagent Pseudo-tree Repair Algorithm for Load Balancing in WLANs
Shanjun Cheng, Anita Raja, Jiang(Linda) Xie, and Ivan Howitt
Multiagent Meta-level Control for Predicting Meteorological Phenomena
Shanjun Cheng, Anita Raja, and Victor Lesser
Getting What You Pay For: Is Exploration in Distributed Hill Climbing Really Worth It?
Melanie Smith and Roger Mailler
Effect of human biases on human-agent teams
Praveen Paruchuri, Pradeep Varakantham, Katia Sycara, and Paul Scerri
Epsilon-Subjective Equivalence of Models for Interactive Dynamic Influence Diagrams
Prashant Doshi, Muthukumaran Chandrasekaran, and Yifeng Zeng
Learning Personal Agents with Adaptive Player Modeling in Virtual World
Yilin Kang and Ah-Hwee Tan
Local Search Methods for Finding a Nash Equilibrium in Two-Player Games
Sofia Ceppi, Nicola Gatti, Giorgio Patrini, and Marco Rocco
An Approach to Scalable Multi-issue Negotiation: Decomposing the Contract Space based on Issue Interdependencies
Katsuhide Fujita, Takayuki Ito, and Mark Klein
An Agent Model for Analysis of Human Performance Quality
Michel Klein, Rianne van Lambalgen, and Jan Treur
How Fast can a BDI Agent Respond?
Huiliang Zhang, Chunyan Miao, Shell Ying Huang, Zhiqi Shen, and Xudong Luo
Behavior Design of Game Character's Agent
Tony Dujardin and Routier Jean-Christophe
Efficient Value Function Approximation with Unsupervised Hierarchical Categorization for a Reinforcement Learning Agent
Yongjia Wang and John Laird
Coalition Formation Strategies for Self-Interested Agents in Task Oriented Domains
Thomas G閚in and Samir Aknine
Using a Social Orientation Model for the Evolution of Cooperative Societies
Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, and Dana Nau
Coordination of Temporal Plans for the Reactive and Proactive Goals
Muhammad Adnan Hashmi and Amal Elfallah Seghrouchni
Modular JADE Agents Design and Implementation using ASEME
Nikolaos Spanoudakis and Pavlos Moraitis
WI 2010 Accepted Short Papers
Improving Privacy-Preserving NBC-based Recommendations by Preprocessing
Alper Bilge and Huseyin Polat
Towards a Self Regulating Process of Pairwise Comparison in AHP
Arash Niknafs, Nasrollah Moghaddam Charkari, Seyed Mohammad Hosseini Nasab, and Ali Akbar Niknafs
Semantic Graph Based Document-Indexing for MEDLINE
James Wang and William Taylor II
Intelligent agents system for evacuation processes modeling
Robert A. Kosiński and Andrzej Grabowski
Using Web-Intelligence for Excavating the Emerging Meaning of Target-Concepts
Yair Neuman, Yohai Cohen, Gabi Kedma, and Ophir Nave
Communicated Structure Discovery via Information Asymmetry in an Organizational Communication Network
Cheng-Te Li
Tag Allocation Model: Model Noisy Social Annotations by Reason Finding
Xiance Si and Maosong Sun
Ranking Approaches for Microblog Search
Rinkesh Nagmoti, Ankur Teredesai, and Martine De Cock
Text Clustering via Term Semantic Units
LIPING JING, JIALI YUN, JIAN YU, and HOUKUAN HUANG
Visualizing blog archives to explore content- and context-related interdependencies
Justus Bross, Patrick Schilf, and Christoph Meinel
Mapping Features to Context Information: Supporting Context Variability for Context-aware Pervasive Applications
Zakwan Jaroucheh, Xiaodong Liu, and Sally Smith
Group-level Analysis by Extracting Semantic Relations from Query Graph
Bin Wu, Tian Zhu, Weiduo Wang, Qi Ye, and Bai Wang
Learning in Presence Of Ontology Mapping Errors
Neeraj Koul and Vasant Honavar
Asset-mapping Approaches to Web-based Collaborative Innovation
Donald Cowan, Paulo Alencar, Fred McGarry, Carlos Lucena, and Ingrid Nunes
TOK: A meta-model and ontology for heterogenous terminological, linguistic and ontological knowledge resources
Nizar Ghoula, Gilles Falquet, and Jacques Guyot
Investigating Homophily in Online Social Networks
Halil Bisgin, Nitin Agarwal, and Xiaowei Xu
Improving Web Service Survivability via Gracefully Degraded Substitution
Yong Yang, Marlon Dumas, and Liang Zhang
Predicting Web Search Hit Counts
Tian Tian, James Geller, and Soon Ae Chun
On Using Query Logs for Static Index Pruning
HOANG THANH LAM and Raffaele Perego
Ant-Based Simulation of Opinion Spreading in Online Social Networks
Carolin Kaiser, Johannes Kr?ckel, and Freimut Bodendorf
Probabilistic Modeling of User-Generated Reviews
Richong Zhang and Thomas Tran
SemPIF: A Semantic Meta-Policy Interchange Format for Multiple Web Policies
Yuh-Jong Hu
Let's Trust Users - It Is Their Search
Pavel Kalinov, Bela Stantic, and Abdul Sattar
web information retrieval towards personalization
Namita Mittal, Richi Nayak, MC Govil, and KC Jain
User-centered Evaluational Model for Ontology Selection
Sunju Oh and Heon Yeom
Empirical analysis and Multiple Level Views in Massive Social Networks
Qi Ye, Bin Wu, Gao YUan, and Bai Wang
Domain-Specific Backlinking Services in the Web of Data
Manuel Salvadores, Gianluca Correndo, Martin Szomszor, Yang Yang, Nick Gibbins, Ian Millard, Hugh Glaser, and Nigel Shadbolt
Visual Content Structures for Wrapper Induction in Building MetaSearch Systems
Tsay Jyh-Jong, Chin-Wen Tsay, and Wang Xin-Jie
Relations Expansion: Extracting and Ranking Relationship Instances on the Web
Haibo Li, Yutaka Matsuo, and Mitsuru Ishizuka
A Computational Cognitive Model for Heuristics Retrieving on Human Problem Solving
Rifeng Wang, Lijuan Wang, Haiyan Zhou, Jie Xiang, Yulin Qin, and Ning Zhong
Organization of Information for the Web using Hierarchical Fuzzy Clustering Algorithm based on Co-Occurrence Networks
faraz zaidi and guy melan?on
Enabling Self-organising Service Level Management with Automated Negotiation
Lei Liu and Hartmut Schmeck
Using Web Technologies for Integrative Drug Discovery
Qian Zhu, Sashikiran Challa, Prajakta Purohit, Michael Lajiness, David Wild, and Ying Ding
Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs
Stephen Dignum, Udo Kruschwitz, Maria Fasli, Yunhyong Kim, Dawei Song, Ulises Cervino, and Anne De Roeck
Modeling Users? Information Goal Transitions and Satisfaction Judgment: Understanding The Full Search Process
Shandian Zhe
An Efficient Method for Tagging a Query with Category Labels using Wikipedia towards Enhancing Search Engine Results
Milad Alemzadeh and Fakhri Karray
Towards Understanding How Personality, Motivation and Events Trigger Web User Activity
Konstantinos N. Vavliakis, Andreas L. Symeonidis, and Pericles Mitkas
Towards Axiomatizing the Semantics of UML Activity Diagrams: A Situation-Calculus Perspective
Xing Tan and Michael Gruninger
Web Intelligence in Tourism
Bruno Coelho, Constantino Martins, and Ana Almeida
Improving AbraQ: an Automatic Query Expansion Algorithm
Glen Robertson and Xiaoying Gao
Generating a Context-Aware Sentiment Lexicon for Aspect-Based Product Review Mining
Juergen Bross and Heiko Ehrig
Feedback Dynamic Algorithms for Preemptable Job Scheduling in Cloud System
Jiayin Li and Meikang Qiu
A Scalable Indexing Mechanism for Ontology-Based Information Integration
Yingjie Li, Abir Qasem, and Jeff Heflin
Improving Collaborative Filtering in Social Tagging Systems for the Recommendation of Scientific Articles
Denis Parra and Peter Brusilovsky
Ranking Ontologies Using Verified Entities to Facilitate Federated Queries
Neda Alipanah, Piyush Srivastava, Pallabi Parveen, and Bhavani Thurasingham
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Tuan Duc Nguyen, Danushka Bollegala, and Mitsuru Ishizuka
A User-centered Approach Recommender Engine
leyla zhuhadar and Olfa Nasraoui
Topic Detection for Discussion Threads with Domain Knowledge
Mingliang Zhu, Weiming Hu, and Ou Wu
Stochastic Simulation of Web Users
Pablo Roman and Juan Velasquez
Stakeholder Mining and Its Application to News Comparison
Tatsuya Ogawa, Qiang Ma, and Masatoshi Yoshikawa
Efficient and Correct Trust Propagation Using CloseLook
Adam Wierzbicki and Grzegorz Wierzowiecki
A Strong Authentication Protocol based on Portable One?Time Dynamic URLs
Eduardo Galan, Julio Cesar Hernandez, Almudena Alcaide, and Arturo Ribagorda
The KGRAM Abstract Machine for Knowledge Graph Querying
Olivier Corby and Catherine Faron Zucker
Agent-based Online Quality Measurement Approach in Cloud Computing Environment
Zhenyu Liu, Tiejiang liu, Lizhi Cai, and Genxing Yang
Reducing the Cold-Start Problem in Content Recommendation Through Opinion Classification
Damien Poirier, Fran?oise Fessant, and Isabelle Tellier
Parsing Publication Lists on the Web
Kai-Hsiang Yang
Impact of One-Timer/N-Timer Object Classification on the Performance of Web Cache Replacement Algorithms
Saloua Messaoud and Habib Youssef
ACO based Approaches and Integrating Information Retrieval Technologies in Selecting Bitmap Join Indexes
Habiba Drias and Ibtissem Frihi
Exploring Special Items in Multimedia News Based on a Stakeholder Model
Ling Xu, Qiang Ma, and Masatoshi Yoshikawa
Knowledge-Based Explanations for Recommender Systems
Markus Zanker and Daniel Ninaus
Reachability Analysis in Privacy-Preserving Perturbed Graphs
Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, and Xiaodong Lin
A Categorized Sentiment Analysis of Chinese Reviews by Mining Dependency in Product Features and Opinions from Blogs
Hung-Yu Kao and Zi-Yu Lin
Integrating Provenance Information in Reservoir Engineering
Jing Zhao, Na Chen, Karthik Gomadam, and Viktor Prasanna
A Framework for Co-Classification of Articles and Users in Wikipedia
Lei Liu and Pang-Ning Tan
Estimating News Coverage of Web Search Results
Adam Jatowt, Yukiko Kawai, and Katsumi Tanaka
Product Feature Mining with Nominal Semantic Structure
Tian-jie Zhan and Chun-hung Li
IAT 2010 Accepted Short Papers
Selecting Behavior on Repeated Local Effect Functions
Igoshi Kazuho and Takao Miura
Concept Learning Games: The Game of Query and Response
Nima Mirbakhsh, Arman Didandeh, and Mohsen Afsharchi
Using Negotiation to Reduce Redundant Autonomous Mobile Program Movements
Natalia Chechina, Peter King, and Phil Trinder
Particle Swarm Optimization Based Hierarchical Agglomerative Clustering
Shafiq Alam, Gillian Dobbie, Patricia Riddle, and Asif Naeem
Continuous Double Auction in Grid Computing: An Agent Based Approach to Maximize Profit for Providers
S. M. Aminul Haque, Saadat M Alhashmi, and Rajendran Parthiban
Enhancing Cultural Learning under Environmental Variability Using Layered Heterogeneous Sociometry-Based Networks
Mostafa Ali, Robert Reynolds, and Rose Ali
Artifacting the Organizational Mechanisms: Adding functionality in MAS environments
Sergio Esparcia, Roberto Centeno, Ram髇 Hermoso, and Estefan韆 Argente
An Agent-Based Model for the Interplay of Information and Emotion in Social Diffusion
Mark Hoogendoorn, Jan Treur, Chantal Natalie van der Wal, and Arlette van Wissen
An Organizational Design for Adaptive Sensor Networks
Walamitien Oyenan, Scott DeLoach, and Gurdip Singh
Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty
Umar Minhas, Jie Zhang, Thomas Tran, and Robin Cohen
A Multi-Heuristic Cooperative Ant Colony System for Optimizing Elimination ordering of Bayesian Networks
Xuchu Dong, Dantong Ouyang, Yuxin Ye, Haihong Yu, and Yonggang Zhang
Decentralized Resource Allocation and Scheduling via Walrasian Auctions with Negotiable Agents
HuaXing CHEN and Hoong Chuin Lau
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Ah-Hwee Tan and Gee-Wah Ng
An Interaction-Oriented Model of Customer Behavior for the Simulation of Supermarkets
Philippe Mathieu, Sebastien PICAULT, and Yoann KUBERA
Understanding the Behaviour of Swarm Robots by Analysing their Trajectories
Swagat Kumar and Einoshin Suzuki
Motivated Learning for Goal Selection in Goal Nets
Huiliang Zhang, Zhiqi Shen, Chunyan Miao, and Xudong Luo
Exploration and Exploitation in Adaptive Trust-Based Decision Making in Dynamic Environments
Mark Hoogendoorn, S. Waqar Jaffry, and Jan Treur
Knowledge oriented Network Fault Resolution Method based on Active Information Resource
Yusuke Takahashi, Daisuke MIsugi, Akira Sakatoku, Akihiro Satoh, Akiko Takahashi, Kazuto Sasai, Gen Kitagata, Toru Abe, and Tetsuo Kinoshita
A Distributed Asynchronous Constraint Optimization Algorithm based on Dynamic Reduction of Constraint Graph
Jian Cao
Incentivising cooperation between agents for content sharing
Stuart Allen, Martin Chorley, Gualtiero Colombo, and Roger Whitaker
Round Tripping in Component Based Software Development
Yves Wautelet, Sodany Kiv, Vi Tran, and Manuel Kolp
Metrics for the evaluation of DisCSP : some experiments on situated agents
Pierre Monier, Arnaud Doniec, Sylvain Piechowiak, and Rene MANDIAU
Distributed Route Planning and Scheduling via Hybrid Conflict Resolution
Ramesh Thangarajoo and Hoong Chuin Lau
Monitoring Agent Communication in Soft Real-time Environments
Andreas Symeonidis and Pericles Mitkas
Knowledge Discovery for Deterministic Finite Automata in Epilepsy
Rory Lewis, Doron Shmueli, and Andrew White
The Agent-Based Hedge Fund
Rui Pedro Barbosa and Orlando Belo
Virtual Agent Perception in Multi-Agent Based Simulation Systems
Travis Steel, Dane Kuiper, and Rym Wenkstern
Predictive Analytics Using a Blackboard-based Reasoning Agent
Jia Yue, Anita Raja, and William Ribarsky
Social Reinforcement Learning for Changing Environments
Juan A. Garcia-Pardo, Jose Soler, and Carlos Carrascosa
An Intelligent Agent-based Model for Future Personal Information Markets
Abdulsalam Yassine, Shervin Shirmohammadi, Thomas T.Tran, and Ali Asghar Nazari Shirehjini
Modeling Dynamic Groups for Agent-based Pedestrian Crowd Simulations
Fasheng Qiu and Xiaolin Hu
Trustworthiness Tendency Incremental Extraction Using Information Gain
Joana Urbano, Ana Paula Rocha, and Eug閚io Oliveira
Event Study Method for Validating Agent-based Trading Simulations
Shih-Fen Cheng
DIRACT: Agent-based Interactive Storytelling
Yundong Cai, Zhiqi Shen, Chunyan Miao, and Ah-Hwee Tan
Ordered Multi-Variable Multi-Constrained Distributed Constraint Optimization Framework
Christopher Portway and Edmund H. Durfee
Modeling empathy and placebo for autonomous virtual humans
Julien SAUNIER, Haza雔 JONES, and Domitile LOURDEAUX
An Agent-Based Framework for Developing Distributed Applications
Michel Oey, Sander van Splunter, Elth Ogston, Martijn Warnier, and Frances Brazier
Prediction of humans?activity for learning the behaviors of electrical appliances in an intelligent ambiant environment
Javier Gil-Quijano and Nicolas Sabouret
Imprecise Context Reasoning Using Improved Dempster-Shafer Theory
Zhong Yuan Li and Hee Yong Youn
Designing a New Approach in Pattern Recognition Inspired by the Visual Cortex in Human Brain
Maryam Esmaeili
The Third WI-IAT Doctoral Workshop (IAT: WI-IAT DW)
Marcin Szcuka
First International Workshop on the Adaption of Web Services (IAT: AWS)
Walid Chainbi
Second International Workshop on Collaborative Agents - Research and development (IAT: CARE)
Christian Guttmann
Human Aspects in Ambient Intelligence: Agent Technology, Human-Oriented Knowledge, and Applications (IAT: HAI)
Tibor Bosse
Service Intelligence and Engineering (IAT: SIE)
Chi-hung Chi
Service-Oriented Computing for Collective Intelligence (IAT: SOC4CI)
Claudia-Melania Chituc
Third Workshop on Logics for Intelligent Agents and Multi-Agent Systems (IAT: WLIAMAS)
Mehmet Orgun
3rd Workshop on Collective Intelligence in Semantic Web and Social Networks (WI: CISWSN)
Tudor Groza
4th International Workshop on Intelligent E-government and Emergency Management (WI: IEEM)
Xin Ye
International Workshop on Computational Social Networks (WI: IWCSN)
Vaclav Snasel
International Workshop on Intelligent Web Interaction (WI: IWI)
Tsuyoshi Murata
10th International Workshop on Meta-synthesis and Complex Systems (WI: MCS)
Xijin Tang
Natural Language Processing and Ontology Engineering (WI: NLPOE)
http://nlpoe2010.0fees.net/
Yao Liu
First International Workshop on Opinion Mining for Business Intelligence (WI: OMBI)
Xiaohui Yu
2nd Workshop on Soft Approaches to Information Access on the Web (WI: SAIAW)
Jose Angel Olivas
Trust and Recommender Systems for Social Search and Web Logs Analysis (WI: TReSSS)
Luca Longo
International Workshop on Web-scale Knowledge Representation, Retrieval, and Reasoning (WI: Web-KR3)
Zhisheng Huang
3rd International Workshop on Web Information Retrieval Support Systems (WI: WIRSS)
Orland Hoeber
Web Personalization and Recommender Systems (WI: WebPRES)
Daniel Tao
Optimization-based Data Mining and Web Intelligence (WI: ODMWI)
Yong Shi
Yingjie Tian
The 2010 IEEE/WIC/ACM International Joint Conference on Web Intelligence (WI10) and Intelligent Agent Technology (IAT10)
takes place on August 31 - Sept 3, 2010, at Toronto, Canada.The IEEE/WIC/ACM 2010 joint conferences are organized by 91亚色
University, Canada, and sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web
Intelligence Consortium (WIC), and ACM-SIGART.
WI 2010 and IAT 2010 will include tutorials providing in-depth background on subjects that are of broad interest to both
the Web intelligence community and the intelligent agent community. The goal of the Tutorial Program is to offer conference
attendees and local participants a stimulating and informative selection of tutorials reflecting current topics in Web
intelligence and intelligent agent. These tutorials will be presented by subject matter experts and will reflect the high
academic and research standards of the WI-IAT 2010 conference. We encourage submissions of proposals on topics that have a
direct relevance to the topics of the conference.
Proposals will be considered for short (2 hrs) and long (half-day) tutorials. A list of recent tutorials collocated with
WI-IATs can be found at WI-IAT 2009 and WI-IAT 2008 websites.
A tutorial proposal should include the following:
* Title of the tutorial
* Instructor(s) and their credentials (CV)
* Aims/Learning objectives
* Description of topics
* Scope of the tutorial
* Tutorial history (previous offerings of tutorial, if any)
* Format of tutorial (1/2 day, 2 hrs)
* 300-word abstract (1-2 paragraphs suitable for inclusion in conference registration materials)
* Keywords
* Full description (1-2 pages to be used for evaluation)
* Target audience information
* Prerequisite knowledge of audience
* Relevant references that would support proposal evaluation
Please send your proposal in PDF format to the tutorial co-chairs, Sourav S Bhowmick (assourav@ntu.edu.sg) and Mounia
Lalmas (mounia@acm.org) with subject: WI-IAT Tutorial Proposal.
Important Dates
* Tutorial submissions: March 26, 2010
* Acceptance notices: April 26, 2010
* Camera-ready copy of tutorial handouts: July 31, 2010
WI 2010 Industry Track Regular Papers
SONAR: Towards User-Centric Social Network Analysis and Visualization
Klemens Boehm, Bjoern-Oliver Hartmann, Till Heistermann, Christian Huetter, Kevin-Simon Kohlmeyer, Reno Reckling, Martin Reiche, and David Soria Parra
IAT 2010 Industry Track Regular Papers
Agent Technologies for Space Applications: The DAFA Experience
Francesco Amigoni, Rick Blake, Andrea Brambilla, Sonia de la Rosa Steinz, Mich鑜e Lavagna, Ian le Duc, Jonathan Page, Oliver Page, Robin Steel, and Quirien Wijnands
IAT 2010 Industry Track Short Papers
Integration of Multiagent Systems and Service Oriented Architectures in the Steel Industry
Sven Jacobi, Christian Hahn, and David Raber
The 2010 International Conference on Active Media Technology (AMT 2010)
will be held jointly with IEEE/WIC/ACM WI-IAT 2010 at 91亚色 Univeristy from August 28-30.
Click for more information
The 2010 International Conference on Brain Informatics (BI 2010)
will be held jointly with IEEE/WIC/ACM WI-IAT 2010 at 91亚色 Univeristy from August 28-30
Click for more information
WI2010 Final Program Schedule has been released. Please check for details.
IAT2010 Final Program Schedule has been released. Please check for details.
WI-IAT2010 Workshop Final Program Schedule is available here.