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Knowledge Engineering and Knowledge Management: 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings.

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Bibliographic Details
Other Authors: Ciancarini, Paolo. [] • Poggi, Francesco. [] • Vitali, Fabio. []
Type of Resource: E-Book
Language: English
published:
Cham : Springer International Publishing AG, 2016.
©2016.
Series: Lecture Notes in Computer Science Ser.
Subjects:
Source: Ebook Central
ISBN: 9783319490045
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • Research Papers
  • Automatic Key Selection for Data Linking
  • 1 Introduction
  • 2 Related Work
  • 2.1 Automatic Linking Tools Configuration
  • 2.2 Data Linking
  • 2.3 Positioning
  • 3 Automatic Key Ranking Approach
  • 3.1 Selecting Mutual Keys for Two Datasets and Merging
  • 3.2 Merged Keys Ranking
  • 4 Evaluation
  • 4.1 Experiments on the DOREMUS Benchmark
  • 4.2 Experiments on the OAEI Benchmark Data
  • 4.3 Top Ranked Keys Complementarity
  • 5 Conclusion and Future Work
  • References
  • Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching
  • 1 Introduction
  • 2 Preliminaries
  • 2.1 Ontology Matching
  • 2.2 Biomedical Ontologies Mapping
  • 3 Overview of Our Approach
  • 3.1 Building the Global Mapping Graph
  • 3.2 Anchoring Source Concepts
  • 3.3 Selection of the Specific Mapping Graph
  • 3.4 Anchoring Target Concepts
  • 3.5 Filtering Candidates Mappings
  • 4 Path Confidence Measure
  • 5 Implementation
  • 5.1 NCBO BioPortal
  • 5.2 Anatomy Track
  • 6 Evaluation
  • 6.1 Evaluation of Paths Types Quality
  • 6.2 Evaluation of Final Alignment Quality
  • 6.3 Specific Mapping Graph: Usefulness Evaluation
  • 7 Related Work
  • 8 Conclusion and Future Work
  • References
  • Populating a Knowledge Base with Object-Location Relations Using Distributional Semantics
  • 1 Introduction
  • 2 Related Work
  • 3 Background: Word and Entity Vector Spaces
  • 4 Word Embeddings for Relation Extraction
  • 4.1 A Word Space Model of Entity Lexicalizations
  • 4.2 Distributional Representations of Entities
  • 5 Evaluation
  • 5.1 Gold Standard
  • 5.2 Ranking Evaluation
  • 5.3 Precision Evaluation
  • 5.4 Hybrid Methods: Fallback Pipeline and Linear Combination
  • 6 Building a Knowledge Base of Object Locations
  • 7 Conclusion and Future Work
  • References.
  • Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction Based on Innovation-Adoption Priors
  • 1 Introduction
  • 2 Related Work
  • 3 Language and Semantic Progressiveness in Scientific Literature
  • 3.1 Dataset Description
  • 3.2 Linguistic Progressiveness
  • 3.3 Semantic Progressiveness
  • 4 Framework for Forecasting Semantic Concepts Based on Innovation-Adoption Priors
  • 4.1 Semantic Innovation Forecast (SIF) Model
  • 4.2 Incorporating Innovation-Adoption Priors
  • 4.3 SIF Inference
  • 5 Experimental Setup
  • 5.1 Forecasting with SIF
  • 5.2 Gold Standard
  • 5.3 Baselines
  • 5.4 Estimating the Effectiveness of SIF
  • 6 Experimental Results and Evaluation
  • 6.1 Semantic Concept Forecast Results
  • 7 Conclusions and Future Work
  • References
  • Leveraging the Impact of Ontology Evolution on Semantic Annotations
  • 1 Introduction
  • 2 Related Work
  • 2.1 Existing Annotation Models
  • 2.2 Annotation Evolution Techniques
  • 3 Experimental Assessment of the Impact of KOS Evolution on Semantic Annotation
  • 3.1 Material
  • 3.2 Method
  • 4 Results
  • 5 A Model Supporting Annotation Evolution
  • 6 Conclusion
  • References
  • Capturing the Ineffable: Collecting, Analysing, and Automating Web Document Quality Assessments
  • 1 Introduction
  • 2 Related Work
  • 3 Nichesourcing Web Document Quality Assessments
  • 3.1 Document Features and Document Quality Dimensions
  • 3.2 Structure of WebQ
  • 3.3 Tasks Description
  • 4 Case Studies
  • 4.1 Dataset and Scenario
  • 4.2 Case Study 1 - Journalism Students
  • 4.3 Case Study 2 - Media Scholars
  • 4.4 Comparison Between Case Study 1 and 2
  • 5 Discussion
  • 6 Conclusion
  • References
  • Active Integrity Constraints for Multi-context Systems
  • 1 Introduction
  • 1.1 Related Work
  • 2 Background
  • 3 Active Integrity Constraints
  • 4 Application: The Case of Ontologies
  • 4.1 Functional Dependencies.
  • 4.2 Property Domain Constraints
  • 4.3 Specific Type Constraints
  • 4.4 Min-Cardinality Constraints
  • 4.5 Missing Property Value Constraints
  • 4.6 Managing Unnamed Individuals
  • 5 Computing Repairs
  • 6 Discussion and Conclusions
  • References
  • Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases
  • 1 Introduction
  • 2 Basics
  • 2.1 Language Bias
  • 2.2 Metrics for Rule Evaluation
  • 3 Evolutionary Discovery of Relational Association Rules
  • 3.1 Representation
  • 3.2 Initialization
  • 3.3 Recombination
  • 3.4 Mutation
  • 3.5 Fitness and Selection
  • 3.6 Consistency Check
  • 4 Related Works
  • 5 Experiments and Results
  • 6 Conclusions
  • References
  • An Incremental Learning Method to Support the Annotation of Workflows with Data-to-Data Relations
  • 1 Introduction
  • 2 Related Work
  • 3 Recommendations for Data-Centric Workflow Annotations
  • 3.1 Workflows as Data-Centric Graphs
  • 3.2 Extracting Features from Workflow Descriptions
  • 3.3 Retrieval of Association Rules and Generation of Recommendations
  • 4 Implementation of the Approach
  • 5 Experimental Evaluation
  • 6 Conclusions
  • References
  • A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages
  • 1 Introduction
  • 2 Related Work and Requirements
  • 3 Anatomy of RSEP-QL Queries
  • 3.1 Data Model
  • 3.2 RSEP-QL Dataset
  • 3.3 RSEP-QL Patterns
  • 3.4 Query Definition
  • 4 RSEP-QL Semantics
  • 4.1 Graph Pattern Evaluation Semantics
  • 4.2 Event Pattern Evaluation Semantics
  • 4.3 Event Selection Policies
  • 4.4 Event Consumption Policies
  • 5 Conclusions and Outlook
  • References
  • TAIPAN: Automatic Property Mapping for Tabular Data
  • 1 Introduction
  • 2 Preliminary Definitions
  • 2.1 Tabular Data Model
  • 2.2 Knowledge Base Model
  • 3 Problem Statement
  • 3.1 Problem 1: Subject Column Identification.
  • 3.2 Problem 2: Property Mapping
  • 4 Approach
  • 4.1 Subject Column Identification
  • 4.2 Property Mapping
  • 5 Implementation Details
  • 6 Experiments and Results
  • 6.1 Experimental Setup
  • 6.2 Subject Column Identification
  • 6.3 Property Mapping
  • 7 Related Work
  • 8 Conclusions and Future Work
  • References
  • Semantic Authoring of Ontologies by Exploration and Elimination of Possible Worlds
  • 1 Introduction
  • 2 Related Work
  • 3 Preliminaries
  • 4 Possible World Exploration
  • 4.1 Views over Possible Worlds
  • 4.2 Moving in the Space of Possible Worlds
  • 5 Possible World Elimination for Ontology Authoring
  • 6 Example Scenario: Ontology of Hand Anatomy
  • 7 User Study: Comparison with Protégé
  • 7.1 Methodology
  • 7.2 Results
  • 7.3 Interpretation and Discussion
  • 8 Conclusion
  • References
  • An RDF Design Pattern for the Structural Representation and Querying of Expressions
  • 1 Introduction
  • 2 Representation of Expressions in RDF
  • 3 Labelling of Expressions in RDF Tools
  • 4 Compatibility with Legacy RDF Structures
  • 5 Implementation in SEWELIS and Application to Mathematical Search
  • 6 Related Work
  • 6.1 Representation Languages
  • 6.2 Query Languages
  • 7 Conclusion
  • References
  • Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation
  • 1 Introduction
  • 2 Related Work
  • 3 Experimental Setup
  • 4 Evaluation and Results
  • 4.1 Spearman Correlation and Corpus Size
  • 4.2 Word-Pair Machine Translation Quality
  • 4.3 Language-Specific DSMs
  • 4.4 Machine Translation Based Semantic Relatedness
  • 4.5 Summary
  • 5 Conclusion
  • References
  • On Emerging Entity Detection
  • 1 Introduction
  • 2 Entity Linking Challenges Arising from Missing Entities and Missing Surface Forms
  • 2.1 Overview of Challenges
  • 2.2 Challenges in the Wild
  • 2.3 Conclusions.
  • 3 Related Work
  • 3.1 Challenge 1: Linking to in-KG Entities via Known Surface Forms
  • 3.2 Challenge 2: Linking to in-KG Entities via Unknown Surface Forms
  • 3.3 Challenge 3: Linking to Out-of-KG Entities via Known Surface Forms
  • 3.4 Challenge 4: Linking to Out-of-KG Entities via Unkown Surface Forms
  • 4 Emerging Entity Detection
  • 4.1 Used Data Sets
  • 4.2 Feature Selection and Model Training
  • 4.3 Evaluation Results
  • 5 Conclusions
  • References
  • Framester: A Wide Coverage Linguistic Linked Data Hub
  • 1 Introduction
  • 2 Linguistic Resources
  • 3 State of the Art
  • 4 Framester as a Linked Linguistic Predicate Resource
  • 4.1 Frame Semantics in OWL
  • 4.2 Resource Generation
  • 5 Word Frame Disambiguation: Evaluation Setting and Results
  • 5.1 Experiment 1: FrameNet Annotated Corpus
  • 5.2 Experiment 2: Independent Unannotated Corpus
  • 6 Conclusion
  • References
  • An Investigation of Definability in Ontology Alignment
  • 1 Introduction
  • 2 Beth Definability in Description Logics
  • 3 Minimal Definition Signatures (MDSs)
  • 4 Definition Patterns
  • 5 Empirical Analysis
  • 6 Definability and Ontology Alignment
  • 7 Definability and Ontology Modelling
  • 8 Conclusions
  • References
  • Alligator: A Deductive Approach for the Integration of Industry 4.0 Standards
  • 1 Introduction
  • 2 Motivating Example
  • 3 Background
  • 4 Our Approach: ALLIGATOR
  • 4.1 ALLIGATOR Representation of AML Documents
  • 4.2 Problem Definition and Proposed Solution
  • 4.3 ALLIGATOR Data Model and Deductive System Engine
  • 5 ALLIGATOR rule-based representation of AutomationML Semantic Heterogeneity
  • 6 Empirical Evaluation
  • 7 Related Work
  • 8 Conclusions and Future Work
  • References
  • Combining Textual and Graph-Based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
  • 1 Introduction
  • 2 Related Work.
  • 3 Named Entity Disambiguation with Undirected Factor Graphs.