
Flexible Query Answering Systems
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This book constitutes the refereed proceedings of the 13th International Conference on Flexible Query Answering Systems, FQAS 2019, held in Amantea, Italy, in July 2019.
The 27 full papers and 10 short papers presented were carefully reviewed and selected from 43 submissions. The papers present emerging research trends with a special focus on flexible querying and analytics for smart cities and smart societies in the age of big data. They are organized in the following topical sections: flexible database management and querying; ontologies and knowledge bases; social networks and social media; argumentation-based query answering; data mining and knowledge discovery; advanced flexible query answering methodologies and techniques; flexible query answering methods and techniques; flexible intelligent information-oriented and network-oriented approaches; big data veracity and soft computing; flexibility in tools; and systems and miscellanea.More details
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Content
- Intro
- Preface
- Organization
- Contents
- Invited Talks
- Logic, Machine Learning, and Security
- 1 Introduction
- 2 Logic for Counter-Terrorism
- 3 Logic for Explaining Forecasts Generated by Machine Learning Classifiers
- 4 Logic for Deceiving Cyber-Adversaries
- 5 Conclusion
- References
- Personal Big Data, GDPR and Anonymization
- References
- Tutorials
- Tutorial: Supervised Learning for Prevalence Estimation
- 1 Motivation
- 2 Format and Detailed Schedule
- References
- Algorithmic Approaches to Computational Models of Argumentation
- 1 Introduction
- 2 Algorithms for Abstract Argumentation
- 3 Algorithms for Structured Argumentation
- References
- Introduction
- Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Overview of the FQAS 2019 International Conference
- Abstract
- 1 Introduction
- 2 Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Issues and Challenges
- 3 13th International Conference on Flexible Query Answering Systems (FQAS 2019): Overview
- 4 Conclusions
- References
- Flexible Database Management and Querying
- Indexing for Skyline Computation
- 1 Introduction
- 2 Preliminaries
- 3 Algorithms
- 3.1 BBS
- 3.2 ZSky
- 3.3 SkyMap
- 3.4 BNL
- 4 Experiments
- 4.1 Effect of Data Dimensionality
- 4.2 Effect of Data Cardinality
- 4.3 Effect of Domain Size
- 4.4 Real Data
- 5 Summary and Conclusion
- References
- A Simple Data Structure for Optimal Two-Sided 2D Orthogonal Range Queries
- 1 Introduction and Preliminaries
- 2 The Data Structure
- 3 Constant-Delay Enumeration
- 4 Discussion
- References
- Optimizing the Computation of Approximate Certain Query Answers over Incomplete Databases
- 1 Introduction
- 2 Background
- 3 Experimental Evaluation of Approximation Algorithms
- 4 Novel Approach
- 5 Experimental Evaluation of Lazy+
- 6 Conclusion
- References
- Ontologies and Knowledge Bases
- Leveraging Ontology to Enable Indoor Comfort Customization in the Smart Home
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The FHfFC Smart Home Architecture
- 3.1 The Physical Layer
- 3.2 HIC: The Home Interface Controller
- 3.3 Knowledge Base and Semantic Repository
- 4 Use Cases Scenarios
- 4.1 Tailoring Indoor Temperature and Humidity Rate
- 4.2 Setting Illuminance According to the Activity
- 5 Conclusion and Future Works
- Acknowledgment
- References
- Efficient Ontological Query Answering by Rewriting into Graph Queries
- 1 Introduction
- 2 Preliminaries
- 3 A Rewritable Ontology Language
- 4 Rewriting
- 5 Conclusions
- References
- WeLink: A Named Entity Disambiguation Approach for a QAS over Knowledge Bases
- 1 Introduction
- 2 Related Works
- 3 The WeLink Approach
- 3.1 Input Pre-processing
- 3.2 Candidate Generation
- 3.3 Candidate Disambiguation
- 4 Experiments and Results
- 4.1 Dataset
- 4.2 Metrics
- 4.3 Results
- 4.4 Discussion
- 5 Conclusion
- References
- Argumentation-Based Query Answering
- A Heuristic Pruning Technique for Dialectical Trees on Argumentation-Based Query-Answering Systems
- 1 Introduction
- 2 Theoretical Basis
- 3 Related Evidence and Heuristic Measure
- 4 Building Pruned Active Dialectical Trees Through the Consideration of Heuristic Evidence Cost
- 5 Related Work and Conclusions
- References
- A Method for Efficient Argument-Based Inquiry
- 1 Introduction
- 2 Base Formalism
- 3 Hypothesizing over Future Observations
- 4 Optimizing Inquiry Policies
- 5 Related Work
- 6 Conclusion and Future Work
- References
- DAQAP: Defeasible Argumentation Query Answering Platform
- 1 Introduction
- 2 Related Work
- 3 Background
- 3.1 Defeasible Logic Programming
- 4 Defeasible Argumentation-Based Query Answering
- 4.1 Architecture
- 5 DeLP Analysis
- 6 Dung Graph Analysis
- 7 Conclusions and Future Work
- References
- An Efficient Algorithm for Computing the Set of Semi-stable Extensions
- 1 Introduction
- 2 Preliminaries
- 3 Enumerating Semi-stable Extensions
- 3.1 Algorithm
- 4 Implementation and Experiments
- 5 Related Work
- 6 Conclusion and Future Work
- References
- Data Mining and Knowledge Discovery
- Using Word Embeddings and Deep Learning for Supervised Topic Detection in Social Networks
- 1 Introduction
- 2 Related Work
- 3 Techniques and Methods
- 3.1 Word Embeddings
- 3.2 Deep Learning Techniques for Texts Classification
- 3.3 Semantic Topic Evaluation Using Word Embeddings
- 4 Experiments
- 4.1 Dataset
- 4.2 Evaluation
- 4.3 Results and Discussion
- 5 Conclusions
- References
- Generalized Association Rules for Sentiment Analysis in Twitter
- 1 Introduction
- 2 Preliminar Concepts and Related Work
- 2.1 Association Rules
- 2.2 Generalized Association Rules
- 2.3 Related Work
- 3 Our Proposal
- 3.1 Pre-processing
- 3.2 Generalized Association Rules for Sentiment Analysis
- 4 Experimentation
- 4.1 Results
- 5 Conclusions and Future Work
- References
- Data Exploration in the HIFUN Language
- 1 Introduction
- 2 The HIFUN Language
- 3 Ordering HIFUN Queries
- 4 Visual Data Exploration
- 5 Concluding Remarks
- References
- Advanced Flexible Query Answering Methodologies and Techniques
- Reducing Skyline Query Results: An Approach Based on Fuzzy Satisfaction of Concepts
- 1 Introduction
- 2 Background and Related Work
- 2.1 Skyline Queries
- 2.2 Formal Concept Analysis with Fuzzy Attributes
- 2.3 Related Work
- 3 Our Approach to Skyline Refinement
- 4 Experimental Study
- 5 Conclusion and Perspectives
- References
- Quantify the Variability of Time Series of Imprecise Data
- 1 Introduction
- 2 Related Work
- 3 Data Modeling
- 4 Variability Computation Approach
- 4.1 Grouping Data
- 4.2 Fuzzy Cluster
- 4.3 Position Index
- 4.4 Variability
- 4.5 Example
- 5 Experimentation
- 6 Conclusion
- References
- Semantic Understanding of Natural Language Stories for Near Human Question Answering
- 1 Introduction
- 2 Background and Motivation
- 3 Related Research
- 4 Architecture of Omniscient
- 4.1 Natural Language Story to Knowledge Graph Conversion
- 4.2 Translating Natural Language Questions to SPARQL Queries
- 4.3 Deduction Enabled Knowledge-Rich Responses
- 4.4 Humanoid-Like Response Generation in Natural Language
- 4.5 Omniscient Architecture
- 5 Experimental Set-Up, Evaluation and Comparison
- 5.1 Query Classes
- 5.2 Evaluation of Omniscient
- 6 Discussion and Future Research
- 7 Conclusion
- References
- Flexible Query Answering Methods and Techniques
- Deductive Querying of Natural Logic Bases
- 1 Introduction
- 2 Elementary NaturaLog Sentence Forms
- 3 Encoding of NaturaLog as Propositions
- 4 Inference Rules
- 5 Restrictive Modifiers
- 6 Materialization of Concepts in the Knowledge Base
- 7 Querying
- 7.1 Concept Querying
- 7.2 Relaxed Concept Querying
- 7.3 Pathway Querying
- 8 Conclusion and Perspectives
- References
- Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data
- Abstract
- 1 Introduction
- 2 Health-Related Quality of Life
- 3 Intercriteria Analysis
- 4 Self Organizing Map Neural Networks
- 5 Discussion
- 6 Conclusion
- Acknowledgments
- References
- A Flexible Query Answering System for Movie Analytics
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Our Flexible Query Answering System for Predictive Analytics
- 3.1 Calculating the Matching Score
- 3.2 Predicting the Cast Popularity
- 3.3 Predicting the Director Popularity
- 3.4 Predicting the Movie Rating
- 4 Evaluation
- 5 Conclusions
- Acknowledgements
- References
- Flexible Intelligent Information-Oriented and Network-Oriented Approaches
- Can BlockChain Technology Provide Information Systems with Trusted Database? The Case of HyperLedger Fabric
- 1 Introduction
- 2 Background About BlockChain
- 2.1 Execution Mechanism in Bitcoin and Proof of Work
- 2.2 Short Classification of BlockChain Platforms
- 3 HyperLedger Fabric
- 3.1 The Byzantine Fault-Tolerant Consensus Mechanism
- 3.2 Chaincode
- 4 Illustrating Example
- 5 Conclusions
- References
- Anticipating Depression Based on Online Social Media Behaviour
- 1 Introduction
- 2 Related Work
- 3 Automatic Data Gathering
- 3.1 Training Set Generation
- 3.2 Selecting Posts with Negative Sentiment
- 3.3 Selecting Posts with Topical Relevance to Depression
- 4 Proposed Model
- 5 Evaluation
- 6 A Case Study of Depression Using Time-Series Analysis
- 7 Conclusions and Future Work
- References
- Method for Modeling and Simulation of Parallel Data Integration Processes in Wireless Sensor Networks
- 1 Introduction
- 1.1 Parallel Sensor Data Integration Process in WSN with Cluster Topology
- 1.2 Generalized Nets Based Parallel Processes Modeling
- 2 GN Model of Cluster-Based Sensor Data Parallel Integration Processes in WSN
- 3 Performance Simulation of the Sensor Data Integration Parallel Processing
- 4 Conclusion
- References
- Find the Right Peers: Building and Querying Multi-IoT Networks Based on Contexts
- 1 Introduction
- 2 A Model for Devices in a Multi-IoT Network
- 3 Retrieval of Devices in a Multi-IoT Network
- 4 Building the Internet of Things
- 5 Experiments
- 6 Conclusion
- References
- Big Data Veracity and Soft Computing
- Handling Veracity of Nominal Data in Big Data: A Multipolar Approach
- 1 Introduction
- 2 Computational Intelligence Techniques
- 2.1 Veracity Handling
- 2.2 Human-Centric Modelling of Nominal Data
- 3 Multipolar Satisfaction Degrees
- 3.1 Definition
- 3.2 Basic Operators
- 4 Aggregation
- 4.1 Transforming an MSD into a Satisfaction Degree
- 4.2 Transforming an MSD into a Bipolar Satisfaction Degree
- 5 Illustrative Example
- 6 Conclusions and Future Work
- References
- InterCriteria Analysis with Interval-Valued Intuitionistic Fuzzy Evaluations
- 1 Introduction
- 2 Short Remarks on Index Matrices
- 3 Short Remarks on Interval-Valued Intuitionistic Fuzzy Pairs
- 4 The New Form of the Intercriteria Analysis
- 5 Procedure for Simplifying the Index Matrix that Determines the Degrees of Correspondence Between the Criteria
- 6 Conclusion
- References
- Business Dynamism and Innovation Capability in the European Union Member States in 2018 Through the Prism of InterCriteria Analysis
- Abstract
- 1 Introduction
- 2 Presentation of the Method
- 3 Presentation of the Input Data
- 4 Main Results
- 4.1 ICA Results for the Subindicators Within Pillar '11 Business Dynamism'
- 4.2 ICA Results for the Subindicators Within Pillar 12 'Innovation Capability'
- 4.3 ICA Results for the Subindicators Between Pillar '11 Business Dynamism' and Pillar 12 'Innovation Capability'
- 5 Conclusion
- Acknowledgments
- References
- Flexibility in Tools
- InterCriteria Analysis of the Most Problematic Factors for Doing Business in the European Union, 2017-2018
- Abstract
- 1 Introduction
- 2 Presentation of the Method
- 3 Presentation of the Input Data
- 4 Main Results and Discussion
- 5 Conclusion
- Acknowledgement
- References
- An Effective System for User Queries Assistance
- 1 Introduction
- 2 Background
- 3 Smart Data Posting
- 4 Our System in a Nutshell
- 5 Conclusion and Future Work
- References
- On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning
- Abstract
- 1 Introduction
- 2 Pre-processing for Melanoma Computer Detection
- 3 Multiple Instance Learning
- 4 Numerical Experimentations
- 5 Conclusion
- References
- Systems and Miscellanea
- Towards Flexible Energy Supply in European Smart Environments
- 1 Introduction
- 2 Background and Related Work
- 2.1 Basic Concepts
- 3 Energy Distribution Automation
- 4 Architecture of a Flexible Affiliation System
- 5 Conclusions and Further Research
- References
- Intelligent Voice Agent and Service (iVAS) for Interactive and Multimodal Question and Answers
- Abstract
- 1 Introduction
- 2 Robust Natural Language Understanding and Machine Learning to Interpret Users' Questions and Deliver Relevant Responses
- 2.1 Methodology
- 2.2 Results
- 2.3 Implication and Application
- 3 Intelligent, Interactive, and Multimodal iVAS Prototype
- 3.1 iVAS Prototype: Disambiguation via Interactive Conversation or Dialogue with the User
- 3.2 iVAS Functional Blocks Supporting Additional Response Types
- 3.3 iVAS Multimodal Architecture
- 4 Implication and Future Directions
- References
- A Study on Topic Modeling for Feature Space Reduction in Text Classification
- 1 Introduction
- 2 Related Work
- 3 Method
- 3.1 Datasets
- 3.2 Topic Model Generation
- 3.3 Choice of Classifier
- 3.4 Classification via Topic Models
- 4 Results and Discussion
- References
- Author Index
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