Journal on Data Semantics XI

This publication features notable work that addresses research and development on issues related to data semantics. Coverage ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications.

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Bibliographic Details
Main Authors Hutchison, David, Kanade, Takeo, Kittler, Josef, Halpin, Terry, Staab, Steffen, Svatek, Vojtech, Shvaiko, Pavel, Roddick, John F
Format eBook
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin / Heidelberg 2008
Springer Berlin Heidelberg
Springer
Edition1
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN9783540921479
3540921478
ISSN0302-9743
1611-3349
DOI10.1007/978-3-540-92148-6

Cover

Table of Contents:
  • Intro -- Preface -- Table of Contents -- Second SWESE Workshop -- Experiences in the Design of Semantic Services Using Web Engineering Methods and Tools -- Automatic Generation and Evolution of Model Transformations Using Ontology Engineering Space -- Second International Workshop on Database Interoperability (InterDB 2006) -- The Harmony Integration Workbench -- International Workshop on Object-Role Modeling (ORM 2006) -- Using ORM-Based Models as a Foundation for a Data Quality Firewall in an Advanced Generation Data Warehouse (Extended Version) -- 15th International Conference on Knowledge Engineering and Knowledge Management - Managing Knowledge in a World of Networks (EKAW 2006) -- Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG -- International Workshop on Ontology Matching (OM-2006) -- Exploring the Semantic Web as Background Knowledge for Ontology Matching -- ER 2006 Workshops -- Time-Aggregated Graphs for Modeling Spatio-temporal Networks -- An Architecture for Emergent Semantics -- Author Index
  • Intro -- Title Page -- Preface -- Table of Contents -- Second SWESE Workshop -- Experiences in the Design of Semantic Services Using Web Engineering Methods and Tools -- Introduction -- Design Methodology -- Background Technologies -- WSMO, WSML and WSMX -- Glue, a WSMO-Compliant Discovery Engine -- WebML and WebRatio -- Our Solution to the SWS Challenge -- Integration of Web Engineering and Semantic Web Tools -- Initial Modeling -- Second Phase of the Challenge -- Third Phase of the Challenge -- Handling the Requirements of the Future Edition of the SWS Challenge -- Experience -- Related Work -- Comparison to Other Approaches to the SWS Challenge -- Conclusions -- References -- Automatic Generation and Evolution of Model Transformations Using Ontology Engineering Space -- Introduction -- Background and Context -- Problem Description -- A MDSD Scenario -- Problem Statement -- Ontology Supported Model Transformations -- Generation of Model Transformations -- Evolution of Model Transformations -- Realization of OntMT -- Components of a Sem-MT-Tool -- Architecture of OntMT -- Case Study about Automated Mapping Generation -- Assessment of OntMT -- Application Areas -- Evaluation -- Discussion -- Related Work -- Summary and Outlook -- References -- Second International Workshop on Database Interoperability (InterDB 2006) -- The Harmony Integration Workbench -- Introduction -- Contributions -- Outline -- Integration in Large Enterprises -- Task Model for Data Integration -- Schema Preparation -- Schema Matching -- Schema Mapping -- Instance Integration -- System Implementation -- Harmony -- Design Goals -- Filtering -- Iterative Development -- Integration Workbench -- Integration Blackboard -- Workbench Manager -- Sample Schema Matching Tools -- Text Normalization -- Match Scores -- Sample Linguistic Match Voters -- Vote Merger -- User Experiences
  • Data Warehouse Physical Data Model(DW PDM) -- Data Mart Logical Data Model(DMLDM) -- User Experiences -- References -- 15th International Conference on Knowledge Engineering and Knowledge Management - Managing Knowledge in a World of Networks (EKAW 2006) -- Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG -- Introduction -- Related Work -- Clustering with the XTREEM-SG Approach -- The XTREEM Approach -- XTREEM-SG for Discovering Sibling Groups -- Evaluation Methodology -- Gold Standards for Evaluation -- Comparative Evaluation -- Evaluation Criteria -- Experiments -- Experimental Environment -- Experiment 1: Evaluating the Preprocessing Tasks -- Experiment 2: Sibling Groups Discovery - Tagpath Clustering -- Experiment 3: Impact of the Cluster Labeling Threshold -- Experiment 4: Varying the Number of Clusters -- Experiment 5: Impact of the Size of the Document Collection -- Experiment 6: Frequency Thresholds for the Vocabulary Terms -- Experiment 7: Tagpath Clustering vs. Term Clustering -- A Set of Candidate Sibling Groups -- Summary of Evaluation -- Conclusions and Future Work -- References -- International Workshop on Ontology Matching (OM-2006) -- Exploring the Semantic Web as Background Knowledge for Ontology Matching -- Introduction -- The Matching Problem in Ontologies and Databases -- Our Proposal: Exploiting the Semantic Web as Background Knowledge for Ontology Matching -- Related Work -- Proposed Paradigm -- Strategy S1: Mappings within One Ontology -- Strategy S2: Cross-Ontology Mapping Discovery -- Step1: Anchoring -- Step2: Ontology Selection -- Step 3: Derivation Rules -- Step 4: Combining Mappings -- Implementation Details -- Anchoring Mechanism -- Ontology Selection -- Derivation Rules -- Detecting Contradictions -- Experimental Setup -- Experimental Scenario and Data -- Overview of the Experiments
  • Methodology for Evaluating Alignments -- Deriving Mappings from One Ontology (Strategy S1) -- Evaluation Results -- Error Analysis -- Contradictory Mappings -- Deriving Mappings across Ontologies (Strategy S2) -- Evaluation Results -- Error Analysis -- Harvesting the Semantic Web -- Comparison with Other Techniques -- Comparison with Techniques Relying on Internal Information -- Comparison with Background Knowledge Based Techniques -- Conclusions and Future Work -- References -- ER 2006 Workshops -- Time-Aggregated Graphs for Modeling Spatio-temporal Networks -- Introduction -- An Illustrative Application Domain -- Broad Computer Science Challenges -- Scope and Outline of the Paper -- Basic Concepts -- The Conceptual Model -- A Logical Data Model -- Physical Data Model -- Shortest Path Computation for Time Aggregated Graphs (SP-TAG Algorithm) -- Summary of Experimental Evaluation -- Conclusions and Future Work -- References -- An Architecture for Emergent Semantics -- Introduction -- Applications of Emergent Semantics -- Structure of This Paper -- Basement -- Model House -- Ingredients -- Distinctions -- Construction -- Terminology -- Document Retrieval -- Document Annotation and Annotation Filtering -- Computational Issues -- Assessment -- CACM Collection -- Live Experiment -- Neighborhood -- Roof and Windows -- References -- Author Index
  • Background -- Match Engine and GUI Experiences -- Integration Workbench Experiences -- Matching + Mapping -- Related Work -- Conclusions and Future Work -- References -- International Workshop on Object-Role Modeling (ORM 2006) -- Using ORM-Based Models as a Foundation for a Data Quality Firewall in an Advanced Generation Data Warehouse (Extended Version) -- Introduction -- Common Approaches towards Development of Data Warehouses -- Taking Advantage of the Disciplined Process for Deriving Business Rules in ORM vis-à-vis Data Quality -- 100% Principle in ISO TR9007 -- Implementation via ISO 9075 Database Language SQL -- An Advanced Generation Data Warehouse Architecture -- Constituent Data Models of the Advanced Generation Data Warehouse- the ORM and Attribute Based Data Models -- Constituent Data Models of the Advanced Generation Data Warehouse- the Physical SQL Data Model -- The Advanced Generation Data Warehouse Framework -- Data Warehouse - Transformation Mappings and Rules -- Mapping Source System to Staging Areas -- Mapping Staging Areas to Data Warehouse -- Data Filtering, Data Transformation Rules -- BI Requirements - Data Mappings from DW to Data Marts -- Cleansing and Scrubbing Rules -- Data Warehouse Data Quality -- An Advanced Generation DW Data Quality Firewall -- Determining Data Quality -- Categories of Business Rules -- Data Quality Checks for the Load Cycle -- Process Flow -- Data Quality Firewall Modules -- Data Quality Firewall Modules - Generic Operations -- Data Warehouse Audit and Control -- Audit Control Data Collection -- DW Audit and Control Model -- Collection Load Statistics at Audit Control Points -- Automating and Tracking Data Cleansing/Data Quality Issues -- Data Cleansing Support Tables -- Conventions and Standards for Implementation -- ORM Model -- Data Warehouse Logical Data Model(DW LDM)