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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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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.