Web-KR 2014: The 5th International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning

ABSTRACT

We organize and present the 5th version of the International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning (Web-KR 2014) as a continuous effort to discuss and provide possible theories and techniques to deal with the barriers for knowledge processing at Web scale. This workshop was held in conjunction with the 2014 ACM International Conference on Information and Knowledge Management (CIKM 2014) on November 3rd, 2014 in Shanghai, China. Compared to previous workshops under the same title, accepted papers of this workshop covers even wider topics in the field. The contributions focus on semantic knowledge extraction, representation, knowledge clustering, inconsistency checking, entity relatedness and linking, query suggestions, etc. Many new approaches are proposed to investigate these topics in the context of Web-scale resources. This summary introduces the major contributions of accepted papers in the Web-KR 2014 workshop.

References

1. John McCarthy. WHAT IS ARTIFICIAL INTELLIGENCE? Revised Version. November 12, 2007. http://www-formal.stanford.edu/jmc/whatisai/whatisai.html
2. Web-KR workshop series. http://www.linked-neuron-data.org/workshops/Web-KR
3. Qun Luo, Weiran Xu, and Jun Guo. A Study on the CBOW Model's Overfitting and Stability. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
4. Saravadee Sae Tan, Enya Kong Tang, Tek Yong Lim, and Lay Ki Soon. Learning to Match Heterogeneous Structures using Partially Labeled Data. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
5. Chao He, Kun Yue, Hao Wu, and Weiyi Liu. Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
6. Ilona Nawrot, Oskar Gross, Antoine Doucet, and Hannu Toivonen. Novel Query Suggestions. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
7. Snehasis Banerjee, Abhishek Mishra and Ranjan Dasgupta. Semantic Exploration of Sensor Data. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
8. Yuangang Yao, Runpu Wu and Hui Liu. JTOWL: A JSON to OWL Convertor. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
9. Richi Nayak, Rachel Mills, Chris De-Vries, and Shlomo Geva. Clustering and Labeling the web scale document collection using Wikipedia clusters. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
10. Elie Merhej, Steven Schockaert, Martine De Cock, Marjon Blondeel, Daniele Alfarone, and Jesse Davis. Repairing Inconsistent Taxonomies using MAP Inference and Rules of Thumb. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
11. Sandeep Panem, Manish Gupta, and Vasudeva Varma. Structured Information Extraction From Natural Disaster Events on Twitter. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
12. Zhuoren Jiang, Xiaozhong Liu, and Liangcai Gao. Dynamic topic/citation influence modeling for Chronological Citation Recommendation. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
13. Saravadee Sae Tan, Lay Ki Soon, Enya Kong Tang, Tek Yong Lim, and Chu Kiong Loo. Understanding the Meaning in Tweets: Learning the Mapping Rules for Sentiment Analysis. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.
14. Kostas Stefanidis and Georgia Koloniari. Enabling Social Search in Time through Graphs. In Proceedings of the 2014 International Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning, 2014.

Index Terms

• Computing methodologies

  • Artificial intelligence

    • Knowledge representation and reasoning

      • Semantic networks

  • Machine learning

    • Machine learning approaches

      • Rule learning