Accepted Papers
Web and Knowledge-based Information Systems
A Convex Formulation of Modularity Maximization for Community Detection
Emprise Y.K. Chan and Dit-Yan Yeung
A Hybrid Content-Collaborative Reciprocal Recommender for Online Dating
Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Pizzato, Judy Kay and Tomek Rej
A Natural Language Question Answering System as a Participant in Human Q&A Portals
Ingo Glöckner, Tiansi Dong, Ulrich Furbach and Björn Pelzer
A New Search Engine Integrating Hierarchical Browsing and Keyword Search
Charles Ling, Xiao Li and Da Kuang
A Wikipedia based Semantic Graph Model for Topic Tracking in Blogsphere
Jintao Tang, ting wang, Qin Lu and ji wang
Context Sensitive Topic Models for Author Influence in Document Networks
Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea and C. Lee Giles
Cross-Domain Collaborative Filtering Over Time
Bin Li, Xingquan Zhu, Ruijiang Li and Chengqi Zhang
Efficient Searching Top-k Semantic Similar Words
Zhenglu Yang
Extending Computer Assisted Assessment systems with Natural Language Processing, User Modelling, and Recommendations based on Human Computer Interaction and Data Mining
Ismael Pascual, Olga C. Santos, Diana Perez Marin and Jesus G. Boticario
Fashion Coordinates Recommender System using Photographs from Fashion Magazines
Tomoharu Iwata, Shinji Wanatabe and Hiroshi Sawada
Fast Algorithm for Affinity Propagation
Yasuhiro Fujiwara, Go Irie and Tomoe Kitahara
Finding the Hidden Gems: Recommending Untagged Music
Ben Horsburgh, Susan Craw and Stewart Massie
Interest Prediction on Multinomial, Time-Evolving Social Graphs
Nozomi Nori, Danushka Bollegala and Mitsuru Ishizuka
Leveraging Unlabeled Data to Scale Blocking for Record Linkage
Yunbo Cao, Zhiyuan Chen, Jiamin Zhu, Pei Yue, Chin-Yew Lin and Yong Yu
Making Better Informed Trust Decisions with Generalized Fact-Finding
Jeff Pasternack, Dan Roth
LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data
Axel-Cyrille Ngonga Ngomo and Sören Auer
Line Orthogonality in Adjacency Eigenspace and with Application to Community Partition
Leting Wu, Xiaowei Ying, Xintao Wu and Zhi-Hua Zhou
Matching Large Ontologies Based on Reduction Anchors
Peng Wang
Minimally Complete Recommendations
David McSherry
Mining Longitudinal Network for Predicting Company Value
Yingzi Jin
Mining the Web for the "Voice of the Herd" to Spot Stock Market Bubbles
Aaron Gerow, Mark T. Keane
Mining User Dwell Time for PersonalizedWeb Search Re-Ranking
Hao Jiang
Multi-perspective linking of news articles within a repository
Arpit Khurdiya, Lipika Dey, Nidhi Raj and Mirajul Haque
Predicting Epidemic Tendency through Search Behavior Analysis
Danqing Xu
Recommender Systems from "Words of Few Mouths"
Richong Zhang, Thomas Tran and Yongyi Mao
Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision
Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka
Relevance Feedback Between Web Search and the Semantic Web
Harry Halpin and Victor Lavrenko
Resource-bounded Crowd-sourcing of Commonsense Knowledge
Yen-Ling Kuo and Jane Hsu
Short Text Conceptualization using a Probabilistic Knowledgebase
Yangqiu Song
Social Abstract Argumentation
João Leite and João Martins
Source-Selection-Free Transfer Learning
Evan Xiang, Sinno Pan, Weike Pan, Jian Su and Qiang Yang
The modular structure of an ontology: atomic decomposition
Chiara Del Vescovo, Thomas Schneider, Bijan Parsia and Uli Sattler
Transfer Learning to Predict Missing Ratings in Recommender Systems
Weike Pan, Nathan Liu, Evan Xiang and Qiang Yang
User Similarity from Linked Taxonomies: Subjective Assessments of Items
Makoto Nakatsuji, Yasuhiro Fujiwara, Toshio Uchiyama and Ko Fujimura
What to Ask to an Incomplete Semantic Web Reasoner?
Bernardo Cuenca Grau and Giorgos Stoilos