Advances in Data and Web Management Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, Proceedings

The rapid prevalence of Web applications requires new technologies for the - sign, implementation and management of Web-based information systems, and for the management and analysis of information on the Web. The joint AP- Web/WAIM 2007 conference, combining the traditions of APWeb and WAIM conferences,wasaninternationalforumforresearchers,practitioners,developers and users to share and exchange cutting-edge ideas, results, experience, te- niques and tools in connection with all aspects of Web data management. The conference drew together original research and industrial papers on the theory, design and implementation of Web-based information systems and on the m- agement and analysis of information on the Web. The conference was held in the beautiful mountain area of Huang Shan (Yellow Mountains) — the only dual World Heritage listed area in China for its astonishing natural beauty and richandwell-preservedculture. Theseproceedingscollectedthe technicalpapers selected for presentation at the conference, held at Huang Shan, June 16–18, 2007. In response to the call for papers, the Program Committee received 554 full-paper submissions from North America, South America, Europe, Asia, and Oceania. Each submitted paper underwent a rigorous review by three in- pendent referees, with detailed review reports. Finally, 47 full research papers and 36 short research papers were accepted, from Austria, Australia, Canada, China,Cyprus,Greece,HongKong,Japan,Korea,Singapore,Taiwan,andUSA, representing a competitive acceptance rate of 15%.

Keynote.- Data Mining Using Fractals and Power Laws.- Exploring the Power of Links in Data Mining.- Community Systems: The World Online.- A New DBMS Architecture for DB-IR Integration.- Invited Paper.- Study on Efficiency and Effectiveness of KSORD.- Discovering Web Services Based on Probabilistic Latent Factor Model.- SCORE: Symbiotic Context Oriented Information Retrieval.- Process Aware Information Systems: A Human Centered Perspective.- Data Mining and Knowledge Discovery I.- IMCS: Incremental Mining of Closed Sequential Patterns.- Mining Time-Shifting Co-regulation Patterns from Gene Expression Data.- Tight Correlated Item Sets and Their Efficient Discovery.- Information Retrieval I.- Improved Prediction of Protein Secondary Structures Using Adaptively Weighted Profiles.- Framework for Building a High-Quality Web Page Collection Considering Page Group Structure.- Multi-document Summarization Using Weighted Similarity Between Topic and Clustering-Based Non-negative Semantic Feature.- A Fair Load Balancing Algorithm for Hypercube-Based DHT Networks.- LINP: Supporting Similarity Search in Unstructured Peer-to-Peer Networks.- Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework.- Energy-Efficient Skyline Queries over Sensor Network Using Mapped Skyline Filters.- An Adaptive Dynamic Cluster-Based Protocol for Target Tracking in Wireless Sensor Networks.- Distributed, Hierarchical Clustering and Summarization in Sensor Networks.- Spatial and Temporal Databases I.- A New Similarity Measure for Near Duplicate Video Clip Detection.- Efficient Algorithms for Historical Continuous kNN Query Processing over Moving Object Trajectories.- Effective Density Queries for Moving Objects in Road Networks.- An Efficient Spatial Search Method Based on SG-Tree.- Getting Qualified Answers for Aggregate Queries in Spatio-temporal Databases.- Dynamic Adaptation Strategies for Long-Term and Short-Term User Profile to Personalize Search.- Using Structured Tokens to Identify Webpages for Data Extraction.- Honto? Search: Estimating Trustworthiness of Web Information by Search Results Aggregation and Temporal Analysis.- A Probabilistic Reasoning Approach for Discovering Web Crawler Sessions.- An Exhaustive and Edge-Removal Algorithm to Find Cores in Implicit Communities.- XML and Semi-structured Data I.- Active Rules Termination Analysis Through Conditional Formula Containing Updatable Variable.- Computing Repairs for Inconsistent XML Document Using Chase.- An XML Publish/Subscribe Algorithm Implemented by Relational Operators.- Retrieving Arbitrary XML Fragments from Structured Peer-to-Peer Networks.- Data Mining and Knowledge Discovery II.- Combining Smooth Graphs with Semi-supervised Learning.- Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method.- Spectral Edit Distance Method for Image Clustering.- Mining Invisible Tasks from Event Logs.- The Selection of Tunable DBMS Resources Using the Incremental/Decremental Relationship.- Hyperclique Pattern Based Off-Topic Detection.- An Energy Efficient Connected Coverage Protocol in Wireless Sensor Networks.- A Clustered Routing Protocol with Distributed Intrusion Detection for Wireless Sensor Networks.- Continuous Approximate Window Queries in Wireless Sensor Networks.- A Survey of Job Scheduling in Grids.- Relational Nested Optional Join for Efficient Semantic Web Query Processing.- Efficient Processing of Relational Queries with Sum Constraints.- A Theoretical Framework of Natural Computing – M Good Lattice Points (GLP) Method.- Building Data Synopses Within a Known Maximum Error Bound.- Exploiting the Structure of Update Fragments for Efficient XML Index Maintenance.- Information Retrieval II.- Improvements of HITS Algorithms for Spam Links.- Efficient Keyword Search over Data-Centric XML Documents.- Promotional Ranking of Search Engine Results: Giving New Web Pages a Chance to Prove Their Values.- Adaptive Scheduling Strategy for Data Stream Management System.- A QoS-Guaranteeing Scheduling Algorithm for Continuous Queries over Streams.- A Simple But Effective Event-Driven Model for Data Stream Queries.- Spatial and Temporal Databases II.- Efficient Difference NN Queries for Moving Objects.- APCAS: An Approximate Approach to Adaptively Segment Time Series Stream.- Continuous k-Nearest Neighbor Search Under Mobile Environment.- Record Extraction Based on User Feedback and Document Selection.- Density Analysis of Winnowing on Non-uniform Distributions.- Error-Based Collaborative Filtering Algorithm for Top-N Recommendation.- A PLSA-Based Approach for Building User Profile and Implementing Personalized Recommendation.- CoXML: A Cooperative XML Query Answering System.- Concept-Based Query Transformation Based on Semantic Centrality in Semantic Peer-to-Peer Environment.- Mining Infrequently-Accessed File Correlations in Distributed File System.- Learning-Based Trust Model for Optimization of Selecting Web Services.- SeCED-FS: A New Approach for the Classification and Discovery of Significant Regions in Medical Images.- Context-Aware Search Inside e-Learning Materials Using Textbook Ontologies.- Activate Interaction Relationships Between Students Acceptance Behavior and E-Learning.- Semantic-Based Grouping of Search Engine Results Using WordNet.- XML and Semi-structured Data II.- Static Verification of Access Control Model for AXML Documents.- SAM: An Efficient Algorithm for F&B-Index Construction.- BUXMiner: An Efficient Bottom-Up Approach to Mining XML Query Patterns.- A Web Service Architecture for Bidirectional XML Updating.- (?, k)-anonymity Based Privacy Preservation by Lossy Join.- Achieving k-Anonymity Via a Density-Based Clustering Method.- k-Anonymization Without Q-S Associations.- Protecting and Recovering Database Systems Continuously.- Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships.- A Dynamically Adjustable Rule Engine for Agile Business Computing Environments.- A Formal Design of Web Community Interactivity.- Towards a Type-2 Fuzzy Description Logic for Semantic Search Engine.- A Type-Based Analysis for Verifying Web Application.- Homomorphism Resolving of XPath Trees Based on Automata.- An Efficient Overlay Multicast Routing Algorithm for Real-Time Multimedia Applications.- Novel NonGaussianity Measure Based BSS Algorithm for Dependent Signals.- HiBO: Mining Web’s Favorites.- Frequent Variable Sets Based Clustering for Artificial Neural Networks Particle Classification.- Attributes Reduction Based on GA-CFS Method.- Towards High Performance and High Availability Clusters of Archived Stream.- Continuously Matching Episode Rules for Predicting Future Events over Event Streams.