Program for the 4th Chinese Semantic Web Symposium (CSWS 2010)
August 19‐21, 2010, Tsinghua, Beijing. Courtesy of Arnetminer.
Keynote Speakers
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Tutorials (2010-08-19)
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2010-08-19 Tutorials
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Abstract: The goal of the Linked Data and Efficient OWL 2 Reasoning tutorial is twofold: first, to introduce scalable reasoning and querying techniques to SW researchers as powerful tool to make use of linked data and large-scale ontologies, and second, to present interesting research problems for SW that arise in dealing with scalable reasoning in OWL 2. The tutorial consists of two parts. It will begin with an introduction of linked data, as well as the Semantic Web standard ontology language OWL 2 and its related reasoning services. The introcduction will include examples of how to make use of OWL 2 ontologies in linked data and how to use reasoning services to exploit linked data. The second part will introduce technical challenges of reasoning in the standard OWL 2 ontology language and then present recent work on faithful approximations (by making use of OWL 2 tractable fragments), preserving soundness and/or completeness, so as to query over very large-scale ontologies.
Bio: Jeff Z. Pan received his Ph.D. from University of Manchester in 2004 and joined the faculty in the Department of Computing Science at University of Aberdeen in 2005. He serves as an Associate Editor of the Journal of Advances in Artificial Intelligence and on the Editorial Board of both the International Journal on Semantic Web and Information Systems (IJSWIS) and the Journal of Emerging Technologies in Web Intelligence (JETWI), and as program chair of RR2007, Ontology and Reasoning Track in ESWC2010 and Doctoral Consortium in ISWC2010.
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Abstract: The semantic analysis of Twitter is a technology to analyze the large volumes of tweets and links between users to extract key information and glean meaningful insights to support data mining and search. Because this area is still at its preliminary stage, there is no systematic introduction to the problem definition and associated methods. In this tutorial, we will present a pipelined technology starting from tweet text normalization, named entity identification, co-reference resolution, semantic role labeling and sentiment analysis, to detection of influential accounts and people, hot topics, popular news and interesting communities. We will elaborate on two most difficult technologies: semantic role labeling and sentiment analysis. In the last part of this tutorial, we will present a preliminary exploration about Twitter search by ranking tweets with multiple facet features from content and social network.
With 70+ million updates and 800 million searches made per day, Twitter has been evolved into a comprehensive repository for super fresh information and micro-granularity local information. Twitter contains rich information about news, pictures, music and videos, and embeds the rich signals of breaking news, hot topics and trends. Implicit consumer feedback and wisdom of crowds, if it can be mined, is valuable information for various kind of business needs. However, useful information is overwhelmed by a flood of noise. The biggest proportion of tweets is pointless babble, spam, contents with offensive contents, which are of little value. Moreover, due to the 140 character limit, many tweets contain various kinds of abbreviation and abnormal language which make text analysis even more difficult.
In recent years, we have witnessed tremendous interest in Twitter, both in data mining, business intelligence and search. However, the explosion of data and the unique language usage on Twitter present big challenges to these efforts.
In this tutorial, we (four speakers) concentrate on the following topics:
1. An introduction to Twitter and a flowchart of semantic analysis
2. Semantic role labeling and sentiment analysis
3. Twitter search
Bio: Dr. Ming Zhou, senior researcher and manger of Natural Language Computing Group at Microsoft Research Asia. He is the inventor of the first Chinese-English machine translation system in China and the famous Chinese-Japanese machine translation product J-Beijing. His group at MSRA is working on various topics on NLP and search such as machine translation, Chinese couplets generator (http://duilian.msra.cn), language learning, Asian language NLP and semantic search. He is research leader of Engkoo((www.engkoo.com) language learning and translation web service which was selected in Asian Innovation Award finalist by Wall Street Journal in July 2010. His recent interests are real-time information extraction, semantic computing for news, Twitter and other social medias.
Xiaohua Liu is an Associate Researcher in the Natural Language Computing Group at Microsoft Research Asia. Xiaohua’s interests include open information extraction, semantic role labeling, real-time search. He is one of the key contributors to Engkoo (www.engkoo.com) language learning and translation web service which was selected in Asian Innovation Award finalist by Wall Street Journal in July 2010. Before he joined MSRA in 2006, he worked at Tsinghua Tongfang Company as a development manager. He received his bachelor’s degree from Nanjing University of Posts and Telecommunications in 1999, and a master’s degree from Tsinghua University in 2002. He is a PhD candidate of Harbin Institute of Technology.
Long Jiang is currently an Associated Researcher in Natural Language Computing Group at Microsoft Research Asia. He joined Microsoft in 2006 after graduating from Peking University. He received his B.Sc. degree in Information Management and Information System in 2003 and a M.Sc. degree in Information Science in 2006, both from Peking University. His main research interests include data mining from the web, Chinese couplets generator, sentiment analysis and language gaming. He is one of the key contributors to Engkoo (www.engkoo.com) language learning and translation web service which was selected in Asian Innovation Award finalist by Wall Street Journal in July 2010.
Yajuan Duan is a PhD student in the Department of Computer Science and Technology, University of Science and Technology of China (USTC). Her research interests include text mining on Twitter and real time search. Currently, she is an intern in NLC group.
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12:00-14:00 Lunch
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14:00-17:30 Automatically Linking Content Across Languages and Media [ppt] [FIT 1-312, Session Chair: Huajun Chen]
Abstract: The World Wide Web is very diverse covering many different languages, media and disciplines. An important challenge is the development of generic algorithms for automatically linking content across documents, languages and media. The tutorial's main goal is to give the participants a clear and detailed overview of content linking approaches and tools, and the integration of their results into several applications. Emphasis is on the joint processing of the different modalities and on generic algorithms for linking content. Another challenge is to develop technologies where the manual human effort or supervision is minimal. Content linking is a timeless topic because in any usage of information we couple data together and make inferences, but today there are a number of techniques for alignment of content developed in the computational linguistics, computer vision and data mining communities, that are worth studying and that have a proven usefulness in heterogeneous settings. Among the motivating example applications are paraphrasing, person search, cross-lingual term extraction and event linking, and cross-media entity alignment. The results will increase the linked data on the World Wide Web. Linked data are a necessary prerequisite for many applications such as Web mining, question answering search on the Web, search based on link models, summarization of Web data, and many others.
Bio: Marie-Francine Moens is a research professor (BOF-ZAP) at the Katholieke Universiteit Leuven, Belgium. She received a Ph.D. in Computer Science in 1999 from this university. She leads the Language Intelligence and Information Retrieval (LIIR) group at K.U.Leuven. Her main research interests regard text based information retrieval, text mining and natural language understanding. She is author of two monographs published by Springer and numerous articles in proceedings of international conferences and journals. She is involved in the organization or program committee of major conferences on information retrieval and computational linguistics (ECIR, CIKM, ACL, SIGIR, EACL).
She is the current chair-elect of the European Chapter of the Association for Computational Linguistics.
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Abstract: The presentation begins with a brief introduction to semantic web and ontology and a survey of ontology generation approaches. It then describes our research on automating the process of ontology generation and illustrates the process with two applications.
Bio: A.C.M. Fong is Professor of Computer Engineering at Auckland University of Technology. He pursues research in internet and multimedia technologies, digital communications and software engineering. His papers are regularly presented at major conferences and have been published in many leading journals (e.g. IEEE T-MM, IEEE T-KDE, IEEE T-ITBiom, etc.). He is the lead author of the book Internet and Multimedia Engineering (Wiley 2006). An active member of the professional community, he serves on the committees of many international conferences, as well as on the editorial boards of several journals. He is the Editor-in-Chief of the Journal of Advances in IT and the Journal of Convergence IT. Dr. Fong began his professional career in 1997 as a software engineer with the Motorola Corporate Research and Technology Centre – Global Software Division. Working with team members from hardware, ergonomics, manufacturing and marketing departments, he contributed to the creation of a number of personal communication devices (phones, PDAs, pagers). During that time he received two excellence awards, four IP contribution awards and two joint patents. In 2000, Dr. Fong decided to embark on an academic career to pursue his research objectives. He has held faculty positions at universities in Singapore and New Zealand. He holds four degrees in EE / CS from three universities – Imperial, Oxford and Auckland. He is a senior member of the IEEE and a Chartered Engineer registered in the UK.
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Main Symposium (2010-08-20)
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2010-08-20 Main Symposium
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9:00-9:10am Opening [FIT多功能厅]
Session Chair: Wendy Hall and Juanzi Li
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Title: Web 3.0 Emerging [ppt]
Abstract: As more and more data and information becomes available on the Web, new technologies that use explicit semantics for information organization are becoming desirable. New terms such as Linked Data, Semantic Web and Web 3.0 are used more and more, although there is increasing confusion as to what each means. In this talk, I will describe how different sorts of models can be used to link data in different ways. I will particularly explore different kinds of Web applications, from Enterprise Data Integration to Web 3.0 startups, the different needs of Web 2.0 and 3.0, the growing interest in "semantic search", and the underlying technologies that power these new approaches.
Bio: Jim Hendler is the Tetherless World Chair of Computer and Cognitive Science and the Assistant Dean of Information Technology and Web Scienceat Rensselaer Polytechnic Institute. One of the inventors of the Semantic Web, Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, and the IEEE. He is the first computer scientist to serve on the Board of Reviewing Editors for Science. In May of 2010, Hendler was named an "Internet Web Expert" by the US government.
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10:10-10:30am Break
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10:30-12:15am Technical Presentation (S1: Semantics and Future Web [FIT 1-312])
Session Chair: Lei Zhang (Full: 25m, Short: 15m)
- Jing Zhang, Chun E Ma, Chen Ting Zhao, Jun Zhang, Li Yi, XinSheng Mao, A Novel Ranking Framework for Linked Data from RDB [FULL PRESENTATION]
- Chang Liu, Haofen Wang, Yong Yu, Linhao Xu, Towards Efficient SPARQL Query Processing on RDF Data [FULL PRESENTATION]*
- Chunying Zhou, Huajun Chen, Haifeng Liu, Xiaohong Jiang, Ontology-driven Mashup Auto-completion on the Data API Network [FULL PRESENTATION]
- Peng Wang, Extracting Semantic Subgraphs to Capture the Real Meanings of Ontology Elements [SHORT PRESENTATION]
- Gan Dong, Zhipeng Gao, Xuesong Qiu, An Automatic Approach to Ontology Evolution Based on Change Impact Comparison [SHORT PRESENTATION]
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10:30-12:15am Technical Presentation (S2: Ontology and Reasoning [FIT 小报告厅])
Session Chair: Jeff Pan (Full: 25m, Short: 15m)
- Jianfeng Du, Guilin Qi, Jeff Pan, Finding Data Tractable Description Logics for Computing a Minimum Cost Diagnosis Based on ABox Decomposition [FULL PRESENTATION]
- Fang, Jun, Zhisheng Huang, A New Approach of Reasoning with Inconsistent Ontologies [FULL PRESENTATION]
- Yuan Ren, Jeff Pan, Yuting Zhao, Closed World Reasoning for OWL2 with Negation As Failure [SHORT PRESENTATION]
- Xiaowang Zhang, 一种基于符号变换的描述逻辑ALC超协调推理算法 [SHORT PRESENTATION]
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12:15-14:00pm Lunch
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14:00-15:30pm Technical Presentation (S3: Semantic Web Mining [1-312])
Session Chair: Haofen Wang (Full: 25m, Short: 15m, Poster: 5m)
- Quan Lin, Hua Li, Bo Wang, A Unified Classification Framework for Name Disambiguation [FULL PRESENTATION]
- Yan Wang, Cong Wang, Yi Zeng, Zhisheng Huang, Vassil Momtchev, Bo Andersson, Ning Zhong, Normalized Medline Distance and Its Utilization in Context-aware Life Science Literature Search [SHORT PRESENTATION]
- Zhongwu Zhai, Hua Xu, Peifa Jia, An Empirical Study of Unsupervised Semantic Classification for Chinese Reviews [SHORT PRESENTATION]
- Moji Wei, Jianliang XU, Tao YU, Hongyan YUN, A Semantic Annotation Approach for Professional Literature [POSTER PRESENTATION]
- Yong Feng, A Multiple Granularities Immune Network Algorithm-based RBFNN Deep Web Sources Classifier [POSTER PRESENTATION]
- Jinhang Du, Yong Yu, Competitor Mining on E-Commerce Data Based on RDF Triples [POSTER PRESENTATION]
- Ming Xie, 用户信息保护下的网络学习资源知识点内容自动提取 [POSTER PRESENTATION]
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14:00-15:30pm Technical Presentation (S4: Semantic Web Service and Ontology Mapping [FIT 小报告厅])
Session Chair: Yi Zeng (Full: 25m, Short: 15m, Poster: 5m)
- Bin Xu, Yixin Yan, Sen Luo, Efficient Composition of Semantic Web Service with End-to-End QoS Optimization[FULL PRESENTATION]
- Aihua Bao, Xiaoxuan Wang, Ai Wen, Ke Ding, Peng Liu, 基于扩展CPN的OWL-S过程语义建模及分析方法研究 [SHORT PRESENTATION]
- Xiaoxuan Wang, Aihua Bao, Jiajia Miao, Ke Ding, Zhen Wang, 一种面向语义Web的组合服务演化方法研究 [SHORT PRESENTATION]
- Xinmin Wang, Haitao Zheng, Yong Jiang, Measuring Semantic Similarities to Classify Instances for Ontology Learning [POSTER PRESENTATION]
- Jianping Wei, Bin Han, Lianqi Wu, Yongping Xie, Hajime Kishida, A Semantic Mapping Model for User-Defined Interfaces Based on Functional Ontology [POSTER PRESENTATION]
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15:40-18:00pm Poster Session [1-312]/ Coffee and Snack
Session Chair: Gang Wu and Zhichun Wang
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18:30-20:00pm Reception
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Main Symposium (2010-08-21)
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2010-08-21 Main Symposium
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Title: Building Watson - A Brief Overview of DeepQA and the Jeopardy! Challenge
Abstract: What's the next thing computer can do to help people on informed decision making beyond search? How can we measure the capability? How far can it reach? This talk will introduce the long-standing challenge in Artificial Intelligence to emulate human expertise, a task definition to formulate the challenge and a system called Watson built by IBM Research attempting to attack the problem.
Bio: Yue Pan is a Senior Technical Staff Member and Senior Manager of Information and Knowledge at IBM China Research Laboratory. He is a major advocator of ontology technology and Semantic Web research in IBM. He and his team's research work focuses on knowledge representation and reasoning, Semantic Web, information integration, search and question answering systems, medical informatics. Besides research in IBM, he also serve as doctoral advisor in Shanghai Jiao Tong University. He has several patents issued and published tens of papers in international conferences and journals. He is a member of ACM, IEEE, CCF (China Computer Federation), committee member of YOCSEF (CCF Young Computer Scientists & Engineers Forum). He is the program co-chair of International Semantic Web Conference 2010.
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10:40-11:00am Break
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11:00-12:00am Panel: Business Models for the Semantic Web [FIT多功能厅]
Panelist: Ming Zhou (MSRA), Ming Zhang (Peking U.), Shiqiang Yang (Tsinghua U.), Guotong Xie (IBM), Jilei Tian (Nokia), Jeff Z. Pan (Aberdeen U.)
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12:00-12:15pm Closing Ceremony [FIT多功能厅]
Session Chair: Jie Tang
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