Dong / Lin / Wang | Advances in Data and Web Management | E-Book | sack.de
E-Book

E-Book, Englisch, Band 4505, 918 Seiten, eBook

Reihe: Lecture Notes in Computer Science

Dong / Lin / Wang 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
2007
ISBN: 978-3-540-72524-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

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

E-Book, Englisch, Band 4505, 918 Seiten, eBook

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-540-72524-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book constitutes the refereed proceedings of the joint 9th Asia-Pacific Web Conference, APWeb 2007, and the 8th International Conference on Web-Age Information Management, WAIM 2007, held in Huang Shan, China, June 2007. Coverage includes data mining and knowledge discovery, P2P systems, sensor networks, spatial and temporal databases, Web mining, XML and semi-structured data, privacy and security, as well as data mining and data streams.

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Weitere Infos & Material


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.


Process Aware Information Systems: A Human Centered Perspective (p. 60)1 Introduction
A Process Aware Information System (PAIS) is a software system that manages and executes operational processes involving people, applications, and/or information sources on the basis of an explicit imbedded process model. The model is typically instantiated many times, and every instance is typically handled in a predefined way. Thus this definition shows that a typical text editor is not process aware, and likewise a typical e-mail client is not process aware.

In both of these examples, the software is performing a task, but is not aware that the task is part of a process. Note that the explicit representation of process allows automated enactment, automated verification, and automated redesign, all of which can lead to increased organizational efficiency. Other potential benefits of PAIS are elaborated in [1].

An increasingly large population of diverse humans is interacting with technology these days, it is therefore increasingly important for computerized systems to address issues of human interaction / collaboration. The incorporation of process into information systems is particularly challenging because most PAIS involve processes performed by people. People processes are complex, semi-structured, and dynamically changing. Within PAIS design, it is thus necessary to take into account factors that impinge upon the organizational structures, the social context, the cultural setting, and other dimensions.

This paper first introduces examples and concepts of collective endeavors noting characteristics that can be quite challenging to capture within process descriptions. In the following sections, a framework for analysis, enactment, and mining is described, then a multidimensional meta-model is introduced. The paper ends with summary and conclusions.

2 Collective PAIS Environments

This section discusses issues related to collective endeavors in a broad sense. It introduces the complexity and variability of collective group interactions through examples, and discusses how structure can be identified in these interactions. It remains true that "how people work is one of the best kept secrets" (David Wellman, cited by Suchman [18]). Collective work is characterized by its fluidity and complex weaving of organizational, social, political, cultural and emotional aspects. Interaction at work takes a wide variety of forms. Consider for instance the following examples:

Extreme Collaboration. Mark[12] describes a "war room" environment employed by the NASA’s Jet Propulsion Laboratory (JPL) to develop complex space mission designs in a very short time—nine hours over a single week for a complete and detailed mission plan. During these interaction sessions, sixteen specialists are physically co-located in a room that contains a network of workstations and public displays.

Collaboration is prompted by a complex combination of physical awareness, by monitoring of the parallel conversations in the noisy environment and in response to data that is published through customized networked spreadsheets that allow team members to publish data they produce and subscribe to data published by others. Team members move around the room to consult other specialists, or .ock to the public display to discuss problems of their interest.



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