Information Search, Integration, And Personalization: 13th International Workshop, Isip 2019, Heraklion, Greece, May 9–10, 2019, Revised Selected ... In Computer And Information Science (1197))

This book constitutes the revised selected papers of the 13th International Workshop on Information Search, Integration and Personalization, ISIP 2019, held in Heraklion, Greece, in May 2019. The volume presents 11 revised full papers, which were carefully reviewed and selected from 16 papers submitted to these post-conference proceedings. The papers are organized in topical sections on linked data; data analytics; data integration; data mining applications. Preface Historical Note Organization Contents Linked Data Enabling Efficient Question Answering over Hundreds of Linked Datasets 1 Introduction 2 Related Work 3 The LODQA Approach 3.1 LODsyndesis Knowledge Services 3.2 The Process of LODQA 4 Evaluation 4.1 Evaluation Collection 4.2 Entities Detection Evaluation 4.3 Answer Extraction Evaluation 4.4 Efficiency 4.5 The Benefits of Using Multiple Datasets 5 Web Demo and Related Links 6 Conclusion References From Publications to Knowledge Graphs 1 Introduction 2 Related Work 3 Conceptual Framework: The Scholarly Ontology 4 Knowledge Base Creation Process 5 Extracting Entities and Relations 5.1 Rule-Based Extraction 5.2 Extraction by Machine Learning Methods 6 Evaluation 7 Conclusion References Data Analytics Analytics over RDF Graphs 1 Introduction 2 Requirements and Related Work 2.1 Requirements 2.2 Related Work 3 Background 3.1 Resource Description Framework (RDF) and Linked Data 3.2 HIFUN - A High Level Functional Query Language for Big Data Analytics 4 Using HIFUN as an Interface to RDF Dataset 4.1 Motivation 4.2 Applicability of HIFUN 4.3 How to Specify the Context of Analysis 5 Translation of HIFUN Queries to SPARQL 6 Application and Implementation 6.1 Defining an Analysis Context over RDF Data 6.2 Implementation Issues 7 Concluding Remarks References Incremental Evaluation of Continuous Analytic Queries in HIFUN 1 Introduction 2 The Query Language Model 3 Incremental Computation 4 System Implementation 4.1 Micro-batch Stream Processing 4.2 Continuous HIFUN Query to MapReduce 4.3 Conceptual Schema to MapReduce 4.4 Translating Continuous HIFUN Queries to SQL 5 Experimental Results 6 Conclusions and Future Work References Evolution of a Data Series Index 1 Introduction 2 Background and Preliminaries 3 The iSAX Family of Indexes 3.1 The iSAX Summarization and Basic Index 3.2 Bulk-Loading: iSAX 2.0 and iSAX2+ 3.3 Adaptive Indexing: ADS, ADS+, ADS-Full 3.4 Parallel and Distributed: ParIS, ParIS+, MESSI, DPiSAX 3.5 Variable-Length: ULISSE 3.6 Sortable Summarizations: Coconut-Trie/Tree/LSM 4 Discussion and Open Research Directions 5 Conclusions References Data Integration Proximity-Based Federation of Smart Objects: Its Application Framework for Complex Secure Federation Scenarios 1 Introduction 2 Formal Modeling of Smart Objects 2.1 Smart Objects and Their Port Matching [3, 5] 2.2 Graph Rewriting System 2.3 Smart Objects and Their Port Matching [3, 5] 3 Implementing Any Binary Autocatalytic-Reaction Network with Graph Rewriting Rules 4 A Framework-Level Solution to the Secure Federation 5 Concluding Remarks References 4-Valued Semantics Under the OWA: A Deductive Database Approach 1 Introduction 2 Background: Four-Valued Logics and Database Context 2.1 Basics on Four-Valued Logics 2.2 Four-Valued Logics in the Database Context 3 Database and Database Semantics 4 Application to Data Integration 4.1 The Generic Scenario 4.2 The Case of Nixon Diamond 4.3 The Trial Example of ch7LoyerSS04 5 Conclusion A Proof of Lemma1 B Proof of Proposition1 C Proof of Proposition2 References Query Driven Entity Resolution in Data Lakes 1 Introduction 2 Basic Concepts 2.1 Evaluation Measures 3 Query Driven ER Approach 4 Experimental Evaluation 4.1 Experimental Results 5 Related Work 6 Conclusions and Future Work References Data Mining Applications A Hybrid Recommender System for Steam Games 1 Introduction 2 Related Work 2.1 Recommender System of Steam 2.2 Other Works on Recommender Systems 3 The Dataset 4 The Method 5 Experiments 6 Conclusion References Using Twitter Streams for Opinion Mining: A Case Study on Airport Noise 1 Introduction 2 State of the Art 2.1 Machine Learning Approaches for Sentiment Classification 2.2 Lexicon-Based Approaches for Sentiment Analysis 2.3 Hybrid Classification Models 3 Workflow for Extracting Sentiments from Tweets 3.1 Gathering Data: Twitter API 3.2 Preprocessing Tweets (NLP) 3.3 Relevance Classification 3.4 Sentiment Analysis of Relevant Tweets 4 Experimental Results 4.1 Sentiment Classifiers Comparison 5 Conclusions References A Platform Development for Multilingual Law Collection and Comparative-Law Support Services: ASEAN Laws as a Case Study 1 Introduction 2 A Platform Design for Multilingual Law Collection and Comparative-Law Support Services 2.1 Web Crawler for Harvesting Statutes 2.2 Document Preprocessing 2.3 Comparative Law Support Service 3 Implementation and Results 3.1 Web Crawling Results 3.2 The Result of Document Preprocessing 3.3 Comparative-Law Support Services 4 Conclusion References Author Index