7th December, 2009, Shanghai, China
  (co-located with ASWC 2009)

http://wasp.cs.vu.nl/workshop/as2dp2009/

  1. Introduction

  The aim of AS2DP is to open a forum to discuss the scalability
issue related to the infrastructure of the Semantic Web, such as,
semantic data repository and inference engine. As the Semantic Web and
its data are becoming widely employed, scalability is an essential
condition for the practical usage.

  Increased performance and stabilization in dealing with the huge
amount of information described in Semantic Web languages like OWL and
RDF(S) boost the use of the Semantic Web. This workshop seeks to bring
together researchers and practitioners to share their recent ideas and
progresses towards building scalable storing, querying, and reasoning
of Semantic Web data.

2. Schedule

9:00 - 9:05 Introduction
9:05 - 9:40 LarKC: The Large Knowledge Collider (Invited Talk, Professor Ning Zhong, the LarKC Consortium)
9:40 - 10:05 Semantic Data Management Projects at Apex Lab (Haofen Wang)
10:05 - 10:30 Dynamically Materializing Wild Pattern Rules Referring to Ontology Schema in Rete Framework
(Seungwoo Lee, Hanmin Jung, Pyung Kim and Beom-Jong You)
10:30 - 10:45 Tea Break
10:45 - 11:10 Social Relation based Scalable Semantic Search Refinement (Yi Zeng, Xu Ren, Ning Zhong, Zhisheng Huang, and Yan Wang)
11:10 - 11:35 Approaches to Debugging Large Scale Ontologies (Guilin Qi, Jianfeng Du and Qiu Ji)
11:35 - 12:00 Towards Scalable Semantic Data Processing by Knowledge Summarization (Zaiyue Zhang, Zhisheng Huang, Shang Gao, Xiaoru Zhang, Xiaofei Zhang and Aiping Shi)
12:00 Close

3. Invited talk

Title: LarKC: The Large Knowledge Collider
Speaker:  Professor Ning Zhong

Abstract. Current reasoning systems cannot meet the rapid growth
of Web-scale data. More specifically for the Semantic Web, billions of
facts are now available in the form of linked data, but distributed across
various sources and locations. This brings many new challenges for the
research of Web-scale problem solving systems. This talk introduces recent
development of the Large Knowledge Collider (LarKC) project that
is aimed at solving the challenges of reasoning on the Web (This project
is under the European Commission framework project 7 Large-Scale Integrating
Project, with 13 institutions in 11 countries). LarKC provides
a workflow-like infrastructure that unifies search and reasoning in an
interactive way. It utilizes approximation, parallelization and distribution
to enable reasoning at Web-scale. Several concrete methods such
as cognitively inspired methods (e.g. interest retention models, stopping
rule, etc.), unifying search and reasoning through granularity, Divideand-
Conquer Swap, and MapReduce based reasoning will be discussed.
Several use cases will be introduced.

Biography
Ning Zhong received the Ph.D. degree in the Interdisciplinary Course on Advanced
Science and Technology from the University of Tokyo. He is currently
head of Knowledge Information Systems Laboratory, and a professor in Department
of Life Science and Informatics at Maebashi Institute of Technology, Japan.
He is also director and an adjunct professor in the International WIC Institute
(WICI), Beijing University of Technology. He has conducted research in the areas
of knowledge discovery and data mining, rough sets and granular-soft computing,
Web intelligence, intelligent agents, brain informatics, and knowledge information
systems, with over 200 journal and conference publications and 20 books.
He is the editor-in-chief of the Web Intelligence and Agent Systems journal (IOS
Press), and serves as associate editor/editorial board for several international
journals and book series. He is the co-chair of Web Intelligence Consortium
(WIC), chair of the IEEE Computer Society Technical Committee on Intelligent
Informatics (TCII), and chair of IEEE Computational Intelligence Society Task
Force on Brain Informatics (TF-BI).

4. Registration

http://www.aswc2009.org/registration

5. Venue

Fuxuan Hotel

400 Guoding Road, Shanghai, China

Located on the School of Journalisam of Fudan University, one of the top universities in China. Fudan University lies in Shanghai, the most dynamic metropolis in China, which recently succeeded in the bidding to hold the 2010 World Expo.