Knowledge Engineering and Knowledge Management

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

Eva Blomqvist Paolo Ciancarini Francesco Poggi Fabio Vitali(Editor)

Springer (Publisher)

Published on 12. November 2016

XVII, 806 pages

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Content

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
3.1 Candidate Retrieval
3.2 Imperatively Defined Factor Graphs
3.3 Inference
3.4 Learning Model Parameters
3.5 Templates
4 Experiments
4.1 Model Training and Feature Selection
4.2 Comparative Evaluation
5 Conclusion and Future Work
References
VoCol: An Integrated Environment to Support Version-Controlled Vocabulary Development
1 Introduction
2 Round-Trip Model and Requirements
3 System Architecture
4 Implementation
4.1 Configuration
4.2 Client-Side Tasks
4.3 Server-Side Tasks
4.4 Deployment
5 Evaluation
5.1 Industry Application
5.2 User Study
6 Related Work
7 Conclusions and Future Work
References
Event-Based Recognition of Lived Experiences in User Reviews
1 Introduction
2 What Is a Lived Experience?
3 Related Work
3.1 Lived Experience Extraction
3.2 Event Extraction
4 Extracting Lived Experiences
4.1 Event Extraction
4.2 Personal Events Identification
4.3 Review Identification
4.4 Event Filtering
4.5 Event Participant Extraction
4.6 Extraction of Sentences Containing Lived Experiences
4.7 Lived Experience Graph Representation
5 Experimental Evaluation
5.1 Dataset
5.2 Review Identification Evaluation
5.3 Comparison to Other Approaches
5.4 Lived Experience Extraction Evaluation
6 Conclusion
References
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs
1 Introduction
2 Related Work
3 Evolutionary Graph Pattern Learner
3.1 Coverage
3.2 Fitness
3.3 Initial Population
3.4 Mating
3.5 Mutation
3.6 Selection and Keeping the Population Healthy
3.7 Real World Considerations
4 Visualisation
5 Prediction
5.1 Query Reduction Technique
5.2 Fusion Variants
6 Evaluation
6.1 Single Pattern Re-Identification
6.2 Learning Patterns for Human Associations from DBpedia
7 Conclusion and Outlook
References
Things and Strings: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence with Topic Modeling
1 Introduction
2 Related Work
3 Methodology
3.1 Entity-Based Co-Occurrence Model
3.2 Topic-Based Model
3.3 Integrated Model (ETM)
4 Evaluation
4.1 Preparing the Test Corpus
4.2 Metrics
4.3 Results
5 Conclusions and Further Work
References
Relating Some Stuff to Other Stuff
1 Introduction
2 Related Work
2.1 Ontologies as Artefacts
2.2 Theoretical Aspects on Representing Stuff Relations
3 Preliminaries
4 Relating Stuff
4.1 Relating Portions
4.2 Portions and Pieces
4.3 Stuff Parts
5 Applying Implementation Trade-Offs
6 Discussion
7 Conclusions
References
A Model for Verbalising Relations with Roles in Multiple Languages
1 Introduction
2 Language Requirements and Motivational Use Cases
2.1 Verbs in IsiZulu and Related Languages
2.2 Challenges with Prepositions
3 Related Works Assessed Against the Requirements
4 Conceptual Model and Mappings for Relations
4.1 Preliminaries
4.2 Metamodel for Processing Properties
4.3 Formalisation
5 Implementation and Testing
6 Discussion
7 Conclusions
References
Dependencies Between Modularity Metrics Towards Improved Modules
1 Introduction
2 Related Works
3 Evaluation Metrics
4 Implementation and Evaluation
4.1 Experimental Evaluation
5 Discussion
6 Conclusion
A Appendix: Summarised Types of Ontology Modules
References
Travel Attractions Recommendation with Knowledge Graphs
Abstract
1 Introduction
2 Related Work
3 Travel Knowledge Graph
3.1 Pool of Travel Attractions
3.2 Types' of Travel Attractions
3.3 Cities of Travel Attractions
4 Recommender
4.1 City-Dependent Type Weight
4.2 User Profile Computation
4.3 Travel Attraction Scoring
5 Evaluation
5.1 Experiment Dataset
5.2 YFCC100M Subset Construction
5.3 Baseline
5.4 Metrics
5.5 Results and Discussions
6 Conclusions
References
Making Entailment Set Changes Explicit Improves the Understanding of Consequences of Ontology Authoring Actions
1 Introduction
2 Background and Related Work
3 Inference Inspector: Making the Consequences of Modelling Actions Explicit
4 Materials and Methods
4.1 E1: Prototype Evaluation
4.2 E2: Making Changes to Key Entailment Sets Explicit Improves Verification Performance
5 Results and Discussion
5.1 E1: Prototype Evaluation
5.2 E2: Making Changes to Key Entailment Sets Explicit Improves Verification Performance
6 Conclusions
References
Data 2 Documents: Modular and Distributive Content Management in RDF
1 Introduction
2 Requirements and General Approach
3 The Data 2 Documents Vocabulary
3.1 Main Elements of the D2D Vocabulary
3.2 Interpretation of the Vocabulary
3.3 Declarative Template Solution
4 Related Work
5 Evaluation
5.1 Design of the Experiments
5.2 Results of the Experiments
6 Conclusions and Future Work
References
TechMiner: Extracting Technologies from Academic Publications
Abstract
1 Introduction
2 TechMiner
2.1 Background Data
2.2 Candidate Selection
2.3 Candidate Expansion
2.4 Publication Expansion
2.5 Candidate Linking
2.6 Candidate Analysis
2.7 Technology Selection
2.8 Triple Generation
3 Evaluation
4 Related Work
5 Conclusions
Acknowledgements
References
Ontology Learning in the Deep
1 Introduction
2 State of the Art
3 Ontology Learning as a Transduction Task
4 An RNN-Based Architecture for Ontology Learning
4.1 RNNs and the Gated Recursive Unit Model
4.2 Network Model for Sentence Tagging
4.3 Network Model for Sentence Transduction
5 Learning Expressive OWL Axioms with RNNs
5.1 A Dataset for Learning of OWL Axioms
5.2 Training and Evaluation
6 Discussion
7 Conclusion and Future Work
References
Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter
1 Introduction
2 Related Work
3 Content-Based User Modeling
3.1 The Process of Generating User Interest Profiles
3.2 Methods for Each Dimension
4 Experiment Setup
4.1 Twitter Dataset
4.2 Evaluation Methodology
5 Results
6 Conclusions
References
Integrating New Refinement Operators in Terminological Decision Trees Learning
1 Introduction
2 Basics
2.1 Description Logics and Knowledge Bases
2.2 Class-Membership Prediction and Concept Learning Problem
2.3 The Dempster-Shafer Theory
3 Learning Tree Models in DLs
3.1 The Models
3.2 Training
3.3 Classification
4 Empirical Evaluation
4.1 Setup
4.2 Outcomes
5 Conclusions and Extensions
References
SEON: A Software Engineering Ontology Network
Abstract
1 Introduction
2 Developing Software Engineering Ontologies
3 SEON: The Software Engineering Ontology Network
4 SEON Envisioned Applications
5 Related Works
6 Final Considerations
Acknowledgments
References
Discovering Ontological Correspondences Through Dialogue
1 Introduction
2 Background and Related Work
3 The Dialogue Mechanism
3.1 Dialogue Protocol
3.2 Lexical and Structural Similarity
3.3 Arguments and Neighbourhood Similarity
4 Walkthrough Example
5 Dialogue Properties
6 Conclusions
References
IoT-O, a Core-Domain IoT Ontology to Represent Connected Devices Networks
1 Semantic Interoperability, a Challenge for the IoT
2 Motivating Use Case
3 IoT-O, Not Just Another IoT Ontology
3.1 The Core Concepts of IoT
3.2 Good Practices for Ontology Design
3.3 Reused Ontologies for IoT-O
3.4 IoT-O, a Modular Core-Domain IoT Ontology
4 SemIoTics and the Robot: Using IoT-O for Semantic Interoperability
4.1 Implementation of the MAPE-K Loop by the Robot and SemIoTics
4.2 Monitoring, Where Raw Sensor Data Become Meaningful Observations
4.3 Analysis: Aggregation of Observations in Abstract Symptoms
4.4 Planning, Where Symptoms Are Used to Create a Plan
4.5 Execution, Where the Plan Is Converted into Actions
5 Conclusion and Future Works
References
AutoMap4OBDA: Automated Generation of R2RML Mappings for OBDA
Abstract
1 Introduction
2 Concepts of an OBDA System
3 AutoMap4OBDA: Automated Mappings for OBDA
3.1 Step 1: Generating the Putative Ontology from a Database Schema
3.2 Step 2: Augmenting the Putative Ontology Basing on the Database Content
3.3 Step 3: Matching Using String Similarity Metrics
3.4 Step 4: Extending the Alignment According to the Target Ontology
3.5 Step 5: Generating R2RML Mappings
4 Evaluation
5 Related Work
6 Conclusions
Acknowledgements
References
Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs
1 Introduction
2 Related Work
3 Verbs and Ontologies
3.1 Perdurants in DOLCE
3.2 DOLCE Lite Plus vs. DOLCE Ultra Lite
4 Alignment Methodology
5 Alignment Results
6 Evaluation
7 Conclusion
References
Locating Things in Space and Time: Verification of the SUMO Upper-Level Ontology
1 Introduction
2 Ontology Verification
3 SUMO
4 SUMO Location of Entities in Time
4.1 Time Representation
4.2 Presence in Time
4.3 Lifetime of Things
5 SUMO Location of Entities in Space
5.1 Mereotopology
5.2 Spatial Location of Physical Entities
5.3 WHERE
5.4 Spatial Location of Events
5.5 Spatio-Temporal Overlap of Related Entities
6 Verification Methodology
7 Conclusions
References
Detecting Meaningful Compounds in Complex Class Labels
1 Introduction
1.1 Problem Definition
1.2 Contributions
2 Related Work
3 Learning to Detect Meaningful Compounds
3.1 Approach
3.2 Features
4 Experiments
4.1 Gold-Standard Dataset
4.2 Experimental Setting
4.3 Results
5 Use Case
6 Conclusions and Future Work
References
Categorization Power of Ontologies with Respect to Focus Classes
1 Introduction
2 General Model of Ontologistic Categorization Power
3 Concept Expression Language and Axiom Patterns
3.1 Syntactic Axiom Patterns in the Ontology Schema
4 Survey on Syntactic Pattern Occurrence
5 Ontologistic Categorization Experiment
6 Related Work
7 Conclusions and Future Work
References
Selecting Optimal Background Knowledge Sources for the Ontology Matching Task
1 Introduction
2 The Background Knowledge Selection Problem
2.1 Criterion of Optimality of a BK
2.2 Requirements to an Automatic BK Selection System
3 An Information Retrieval Approach to Automatic Selection of BK
3.1 Modeling Ontologies and BKs as Structure-Content Documents
3.2 Indexing
3.3 Retrieving the Optimal BK
4 Evaluation and Results
4.1 The OAEI Tracks
4.2 BK Sources
4.3 Results Presentation and Analysis
5 Related Work
5.1 Ontology Matching Using Background Knowledge
5.2 Automatic Selection of Background Knowledge
6 Conclusion and Future Work
References
Considering Semantics on the Discovery of Relations in Knowledge Graphs
1 Introduction
2 Motivating Example
3 Preliminaries
4 Our Approach: KOI
4.1 Problem Definition
4.2 Our Solution
5 Related Work
6 Empirical Evaluation
6.1 Knowledge Graph Creation
6.2 Experimental Configuration
6.3 Discovering Relations with K-Nearest Neighbors
6.4 Effectiveness of KOI Discovering Relations
7 Conclusions and Future Work
References
ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment
1 Introduction
2 Preliminaries
3 Reliability Estimation Using Knowledge Base
3.1 KBQs Selection Problem
3.2 KBQs Selection Algorithm
4 Adaptive Task Assignment
5 Evaluation Methodology
5.1 LDQA Tasks
5.2 KBQs Selection with Pre-pruning
5.3 Compared Approaches and Metrics
6 Experimental Results
6.1 Diverse Reliability of Crowd Workers
6.2 Accuracy of Compared Approaches
6.3 Effects of Algorithm Parameters
7 Discussion and Limitations
8 Related Work
9 Conclusion and Future Work
References
The Semantic Web in an SMS
1 Introduction
2 Related Work
3 Information Sharing in the Absence of the Web
3.1 The DigiVet Case
3.2 The RadioMarché Case
4 A Platform for Semantic Web in an SMS
4.1 SPARQL over SMS
4.2 SMS Message Structure and Conversion
5 Research Challenges
5.1 Small RDF Data Compression
5.2 Shared Vocabulary/Semantic RDF Data Compression
5.3 Blending Synchronous and Asynchronous Messaging
5.4 Unpredictable Query Result Sizes
6 Practical Validation
6.1 Implementation and Integration
6.2 Evaluation in Four Scenarios
7 Conclusions
References
Extraction and Visualization of TBox Information from SPARQL Endpoints
1 Introduction
2 Related Work
3 Extraction of TBox Information
4 Visualization
4.1 Classes
4.2 Properties
4.3 Datatypes
4.4 Namespaces
5 Implementation
6 Evaluation
6.1 Qualitative User Study
6.2 Extraction Performance
7 Conclusion and Future Work
References
In-Use Papers
Learning Domain Labels Using Conceptual Fingerprints: An In-Use Case Study in the Neurology Domain
1 Introduction
2 Background and Related Work
3 Learning Domain Labels from Scientific Articles
3.1 Pre-processing Module
3.2 Document Representation and Conceptual Fingerprinting Module
3.3 Documents' Clustering Module
3.4 Clustering Validation Module
3.5 Selection of Final Clustering Parameters and Document Representation:
3.6 Clusters' Labelling and Final Labels Extraction
4 Experimental Setup and Results
4.1 Clustering Performance and Documents' Best Representation
4.2 Extraction of Clusters' Labels
5 Summarizing the Best Practices
6 Conclusions and Future Work
References
Semantic Business Process Regulatory Compliance Checking Using LegalRuleML
1 Introduction
2 Business Process Compliance
3 The Framework
3.1 LegalRuleML: An Overview
3.2 Modelling the Code and Its Dynamics
3.3 Business Process Regulatory Compliance
4 Evaluation
4.1 Results
4.2 Lessons Learned and Future Work
5 Related Work
6 Conclusions
References
An Open Repository Model for Acquiring Knowledge About Scientific Experiments
Abstract
1 Introduction
2 Related Work
3 Model and Implementation
3.1 Abstract Template Model
3.2 Template Model Concrete Representation
3.2.1 Representing Template Structure Using JSON Schema
3.2.2 Representing Template Semantics Using JSON-LD
3.2.3 Value Constraints
3.3 Template Design and Metadata Acquisition Tools
4 Initial Evaluation
5 Conclusion
Acknowledgments
References
OpenResearch: Collaborative Management of Scholarly Communication Metadata
1 Introduction
2 Problem Statement
3 Related Work
4 Requirements
5 Approach
5.1 Data Model
5.2 Architecture
6 OpenResearch Services
7 Evaluation
8 Conclusion and Future Work
References
Position Paper
Data-Driven RDF Property Semantic-Equivalence Detection Using NLP Techniques
1 Introduction
2 Background
3 An Approach for Automatically Enhancing SPARQL Queries
3.1 Enhancing SPARQL Queries by Using Dbp Properties
4 Evaluation Example
5 Related Work
6 Conclusions and Future Work
References
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Knowledge Engineering and Knowledge Management

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