Knowledge Discovery, Knowledge Engineering and Knowledge Management 7th International Joint Conference, IC3K 2015, Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers

This book constitutes the thoroughly refereed proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015, held in Lisbon, Portugal, in November 2015. The 25 full papers presented together with 2 invited papers were carefull...

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Bibliographic Details
Main Authors Fred, Ana, Dietz, Jan L. G, Aveiro, David, Liu, Kecheng, Filipe, Joaquim
Format eBook
LanguageEnglish
Published Cham Springer Nature 2017
Springer International Publishing AG
Springer
Edition1
SeriesCommunications in computer and information science
Subjects
Computer programming, programs, data
Data mining-Congresses
Online AccessGet full text
ISBN3319527584
9783319527581
3319527576
9783319527574

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Table of Contents:
  • 5 Representation of Terms Within an Unbalanced Set -- 6 Linguistic Modifiers with Unbalanced Multi-sets -- 7 Conclusions -- References -- Ranking with Ties of OWL Ontology Reasoners Based on Learned Performances -- 1 Introduction and Related Works -- 2 Robustness Prediction of the Ontology Reasoners -- 2.1 Reasoner Empirical Robustness -- 2.2 Learning Methodology -- 2.3 Ontology Features -- 3 Evaluation of Reasoners' Robustness Prediction -- 3.1 Data Collection -- 3.2 Learning Methods -- 3.3 Robustness Learning Results and Assessment Discussion -- 4 Ontology Reasoners Ranking with Ties -- 4.1 Preliminaries -- 4.2 Overall Description of the Ranking Approach -- 4.3 Description of the Offline Training Process -- 4.4 Description of the Online Ranking Process -- 5 Evaluation of the Reasoners Ranking Approach -- 5.1 Assessment of the Training Stage -- 5.2 Assessment of the Ranking Stage -- 6 Conclusions -- References -- Refinement by Filtering Translation Candidates and Similarity Based Approach to Expand Emotion Tagged Corpus -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Japanese-English Parallel Emotion Corpus -- 3.2 Japanese-English Bilingual Dictionary -- 3.3 Tweet Positive/Negative Corpus -- 3.4 Refining Translation Candidates -- 3.5 Word Expansion Based on Word Distributed Representation -- 3.6 Corpus Expansion Based on Sentence Similarity -- 4 Experiment -- 4.1 Experiment-1 -- 4.2 Experiment-2 -- 4.3 Experiment-3 -- 5 Results and Discussions -- 5.1 Result of Experiment-1 -- 5.2 Result of Experiment-2 -- 6 Result of Experiment-3 -- 7 Conclusions -- References -- Employing Knowledge Artifacts to Develop Time-Depending Expert Systems -- 1 Introduction -- 2 Related Work -- 3 Motivation: Managing Rapidly Changing Scenarios by Means of Expert Systems -- 4 Shadow Facts and Their Role in KAFKA
  • 4 Importing WordNet into Neo4J -- 5 Querying the WordNet Graph -- 6 Large-Scale Representation of WordNet Graph -- 7 The Tag Cloud-Based Representation of WorNet Synonyms Rings -- 8 Conclusions -- References -- Open-Source Search Engines in the Cloud -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Lucene-Based Search Engines -- 2.2 NoSQL Databases -- 2.3 Highly Distributed Ecosystems -- 3 Systems Under Investigation -- 3.1 Solr on Cassandra -- 3.2 Lucene on mongoDB -- 3.3 Solrcloud -- 3.4 Solrcloud on Hadoop -- 3.5 Functional Comparison -- 4 Benchmarking -- 4.1 Input Parameters and Performance Metrics -- 4.2 System Configuration -- 4.3 Indexing -- 4.4 Searching -- 5 Conclusion -- Acknowledgements -- References -- Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model -- 1 Introduction -- 2 Related Work -- 3 Method Description -- 3.1 Basic Approach -- 3.2 Document Splitting into Sentences -- 3.3 Polarity-Driven State Transitions -- 4 Experiments -- 4.1 Setup and Results -- 5 Conclusions -- References -- A Word Prediction Methodology Based on Posgrams -- Abstract -- 1 Introduction -- 2 Missing Word Prediction in Two Steps -- 3 Prediction of an Italian Word in Two Steps -- 4 The First Step: Prediction of the Part of Speech -- 5 The Second Step: Prediction of the Missing Word -- 6 Application to the English Language -- 7 Results -- 8 Conclusion -- References -- Is Bitcoin's Market Predictable? Analysis of Web Search and Social Media -- 1 Introduction -- 2 Methodology -- 2.1 Google Trends -- 2.2 Blockchain.info -- 2.3 Twitter API -- 2.4 Opinion Mining -- 2.5 Data Collection -- 3 Results -- 3.1 Tweets Analysis -- 3.2 Pearson Correlation -- 3.3 Cross Correlation -- 3.4 Granger Causality -- 4 Conclusions -- References -- Knowledge Engineering and Ontology Development
  • 5 Knowledge Acquisition in Mobile Scenarios: KAFKA Conceptual and Computational Model -- 5.1 KAFKA Scenario -- 5.2 KA Definition -- 5.3 KA Configuration -- 5.4 KA Implementation -- 5.5 KAFKA Architecture -- 6 Case Study -- 6.1 Walls' Safety Measures: Modeling the Knowledge Involved -- 6.2 The KA--User and the KA--Developer: Two Android Clients -- 7 Conclusions and Future Work -- References -- A Property Grammar-Based Method to Enrich the Arabic Treebank ATB -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Arabic Linguistic Study Within the GP Formalism -- 3.1 The Linearity Property -- 3.2 The Adjacency Property -- 3.3 The Uniqueness Property -- 3.4 The Obligation Property -- 3.5 The Requirement Property -- 3.6 The Exclusion Property -- 4 Formalization Phase -- 5 The Enrichment Method of the ATB -- 5.1 Fitting the ATB Data with the GP Ones -- 5.2 Matching an ATB Phrase with a GP One -- 5.3 Verification of the Satisfaction of the Properties -- 5.4 Insertion of the Verified Properties -- 6 Descriptions of the Constraint Solvers -- 6.1 The Solver of Constituency Properties -- 6.2 The Solver of the Linearity Properties -- 6.3 The Solver of the Adjacency Properties -- 6.4 The Solver of the Uniqueness Properties -- 6.5 The Solver of the Obligation Properties -- 6.6 The Solver of the Requirement Properties -- 6.7 The Solver of the Exclusion Properties -- 7 Experimentation and Evaluation -- 8 Conclusion and Perspectives -- References -- Driving Innovation in Youth Policies with Open Data -- 1 Introduction -- 1.1 Overview of the Project -- 2 Open Data in Italy -- 3 Data Source Selection, Extraction and Cleaning -- 4 Data Integration -- 5 Data Visualization -- 5.1 MOMIS Dashboard Designer -- 6 Linked Open Data Publication and Exploration -- 6.1 Linked Open Data Publication -- 6.2 LOD Exploration and Querying -- 7 Conclusion -- References
  • A Visual Similarity Metric for Ontology Alignment -- 1 Introduction -- 2 Related Work -- 3 Visual Similarity for Ontology Alignment -- 3.1 Assigning Images to Entities -- 3.2 Extracting the Visual Signatures of Entities -- 3.3 Comparing Visual Signatures for Computing Entity Similarity -- 4 Combining Visual and Lexical Features -- 5 Experimental Results -- 5.1 In Combination with Other Ontology Alignment Algorithms -- 6 Conclusions -- References -- Model-Intersection Problems and Their Solution Schema Based on Equivalent Transformation -- 1 Introduction -- 2 Clauses and Model-Intersection Problems -- 2.1 Specialization Systems -- 2.2 User-Defined Atoms, Constraint Atoms, and Clauses -- 2.3 Interpretations and Models -- 2.4 Model-Intersection (MI) Problems -- 2.5 Query-Answering (QA) Problems -- 2.6 Proof Problems -- 3 Solving MI Problems by Equivalent Transformation -- 3.1 Preservation of Partial Mappings and Equivalent Transformation -- 3.2 Target Mappings and Answer Mappings -- 3.3 ET Steps and ET Rules -- 3.4 Correct Solutions Based on ET Rules -- 3.5 Computation Cost for Solving MI Problems -- 4 Target Mappings for Clauses -- 4.1 A Target Mapping for Sets of Positive Unit Clauses -- 4.2 A Target Mapping for Sets of Definite Clauses -- 4.3 A Target Mapping for All Clause Sets -- 5 Solutions for QA Problems/Proof Problems -- 5.1 A Solution for QA Problems -- 5.2 A Solution for Proof Problems -- 6 Example -- 6.1 Problem Description -- 6.2 Unfolding Operation -- 6.3 Other Transformations -- 6.4 ET Computation -- 6.5 A Proof Problem and Its Solution -- 7 Conclusions -- References -- Representing and Managing Unbalanced Multi-sets -- 1 Introduction -- 2 Preliminaries -- 3 Multi-valued Logic and Generalized Symbolic Modifiers -- 4 Representing Unbalanced Multi-sets -- 4.1 Abchir's Algorithm -- 4.2 Single Scale Algorithm
  • Intro -- Preface -- Organization -- Contents -- Invited Papers -- Business Ethics as Personal Ethics -- Abstract -- 1 Introdution -- 2 What Is Business Ethics? -- 3 The Task of Business Ethics -- 4 The Failure of of Business Ethics? -- 5 How to Be Ethical? -- References -- Automatic Generation of Poetry Inspired by Twitter Trends -- 1 Introduction -- 2 Related Work -- 3 PoeTryMe -- 4 Poetry Inspired by Current Trends -- 4.1 Generation Grammar -- 4.2 Approach -- 4.3 Twitterbot -- 4.4 Setup -- 4.5 Examples -- 4.6 Critical View -- 5 Concluding Remarks -- References -- Knowledge Discovery and Information Retrieval -- Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendation -- 1 Introduction -- 2 Related Work -- 3 Framework of the System -- 3.1 Aspect Analysis -- 3.2 Positive/Negative Opinion Detection -- 3.3 Positive/Negative Review Identification -- 3.4 Scoring Hotels by MRW Model -- 4 Experiments -- 4.1 Data -- 4.2 Basic Results -- 4.3 Comparative Experiments -- 5 Conclusions -- References -- Searching the Web by Meaning: A Case Study of Lithuanian News Websites -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Semantic Search Framework -- 3.1 Information Extraction -- 3.2 Information Retrieval -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- Piecewise Factorization for Time Series Classification -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Data Representation -- 2.2 Similarity Measure -- 3 Methodology Framework -- 4 Piecewise Factorization -- 4.1 Adaptive Segmentation -- 4.2 Chebyshev Factorization -- 5 Similarity Measure -- 6 Experiments -- 6.1 Classification Accuracy -- 6.2 Computational Efficiency -- 7 Conclusions -- Acknowledgements -- References -- Experiences in WordNet Visualization with Labeled Graph Databases -- 1 Introduction -- 2 Related Works -- 3 WordNet Case Study
  • OntologyLine: A New Framework for Learning Non-taxonomic Relations of Domain Ontology