Flexible Query Answering Systems

Name: Flexible Query Answering Systems | 13th International Conference, FQAS 2019, Amantea, Italy, July 2-5, 2019, Proceedings
Brand: Springer
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13th International Conference, FQAS 2019, Amantea, Italy, July 2-5, 2019, Proceedings

Alfredo Cuzzocrea Sergio Greco Henrik Legind Larsen Domenico Saccà Troels Andreasen Henning Christiansen(Herausgeber*in)

Springer (Verlag)

Erschienen am 11. September 2019

XIV, 414 Seiten

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978-3-030-27629-4 (ISBN)

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Inhalt

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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