Semantic Keyword-Based Search on Structured Data Sources

Name: Semantic Keyword-Based Search on Structured Data Sources | Third International KEYSTONE Conference, IKC 2017, Gdansk, Poland, September 11-12, 2017, Revised Selected Papers and COST Action IC1302 Reports
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Third International KEYSTONE Conference, IKC 2017, Gdansk, Poland, September 11-12, 2017, Revised Selected Papers and COST Action IC1302 Reports

Julian Szymanski Yannis Velegrakis(Editor)

Springer (Publisher)

Published on 7. February 2018

XVII, 261 pages

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978-3-319-74497-1 (ISBN)

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Content

Intro
Preface
Organization
Contents
Proceedings of the KEYSTONE Conference 2017
Formalization and Visualization of the Narrative for Museum Guides
1 Introduction
2 The Value of the Narration
3 The Narrative
4 Segment Typology and Visualization
5 UML Representation and XML Specification
6 Lessons Learned and the Way Forward
7 Conclusions
References
Data Reduction Techniques Applied on Automatic Identification System Data
1 Introduction
2 AIS Data Pre-processing
3 AIS Data Reduction
4 Results
4.1 Data Reduction Applied on AIS Data Set
4.2 Data Visualization
5 Conclusions
References
FIRE: Finding Important News REports
1 Introduction
2 Related Work
3 Design
3.1 Overall System Design
3.2 Sampling and Vectorization
3.3 Nutrition and Clustering
3.4 Spam Removal and Topic Detection
4 Implementation
5 Results and Evaluation
5.1 Evaluation of the Clustering Component
5.2 Evaluation of the Topic Detection Component
5.3 Evaluation of the Topic Judgement Component
6 Conclusions and Future Work
References
Analysing and Visualising Parliamentary Questions: A Linked Data Approach
1 Introduction
2 Related Work
3 PQs in the Maltese Parliament
4 PQViz: Linking Parliamentary Questions
4.1 Harvesting Parliamentary Data
4.2 Linked Data Model
5 PQViz: Interaction Graph
6 Future Work
References
Keyword Extraction from Parallel Abstracts of Scientific Publications
1 Introduction
2 Methodology
2.1 The SBKE Method
2.2 Text Preprocessing Tools
2.3 Evaluation Methodology
3 Textual Resources
4 Results
5 Conclusion
References
Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System
1 Introduction
2 State of Art
3 Details of Our System
4 Problem Statement
5 Proposed Solutions
5.1 HDFS Approaches
5.2 HBase Approach
6 Experiments
6.1 Planned Tests
6.2 Dataset
6.3 Test Environment
6.4 Results
7 Conclusion
References
Assessing Word Difficulty for Quiz-Like Game
1 Introduction
2 Defining Word Difficulty and Related Work
3 Our Approach
3.1 Naive Approach
3.2 Adding Word Length
3.3 The Final Approach
4 Evaluation
5 Conclusion and Future Work
References
From Deep Learning to Deep University: Cognitive Development of Intelligent Systems
Abstract
1 Introduction
2 Education for Everything: Universities for Cognitive Systems
2.1 Growing Fully Developed Cognitive Systems
2.2 Implementation of Developing Cognitive Architectures
2.3 Learning from Collective Creativity
3 Conclusions and Future Work
Acknowledgements
References
From a Web Services Catalog to a Linked Ecosystem of Services
Abstract
1 Introduction
2 Related Work
3 Heterogeneous Multigraph of the Programmable Web
3.1 Multigraph Overview
3.2 Similarity Relationships
4 MultiGraph Based Recommendation Approach
4.1 Web Services Discovery
4.2 Web Services/Mashups Recommendation
5 Experimental Results
5.1 Implementation
5.2 Experimental Evaluation
6 Conclusion
References
Towards Keyword-Based Search over Environmental Data Sources
1 Introduction
2 Problem Statement
2.1 Environmental Data Sources
2.2 Description of the Search Problem
3 Related Work
4 Prototype Description
5 Performance Evaluation
6 Conclusions and Future Work
References
Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches
1 Introduction
2 Research Methodology
2.1 Network Types
2.2 Network Measures
2.3 Method for Analysing Collaboration Networks
3 Case Study: STSM Networks
3.1 KEYSTONE-STSM Dataset and Networks Construction
3.2 Results
4 Conclusion and Discussion
References
Exploration of Web Search Results Based on the Formal Concept Analysis
1 Introduction
2 Related Work and Motivation
3 Generalized One-Sided Concept Lattices
4 Our Tool for FCA-Based Exploration of Search Results
5 Experiments
6 Conclusions
References
Challenges in Applying Machine Learning Methods: Studying Political Interactions on Social Networks
Abstract
1 Introduction
2 Studying Political Behavior with ML Methods
3 Challenges in Classifying Relevance of Political Comments While Using Supervised ML Techniques
References
Wikidata and DBpedia: A Comparative Study
1 Introduction
2 Overview and Evolution
3 Data Quality Analysis
3.1 Intrinsic Category
3.2 Contextual Category
3.3 Representation Category
3.4 Accessibility
4 Related Work
5 Conclusions and Future Work
References
Multi-Lingual LSA with Serbian and Croatian: An Investigative Case Study
1 Introduction
2 Background
2.1 Methods of Multi-Lingual Information Retrieval
2.2 Latent Semantic Analysis (LSA)
2.3 Multi-Lingual Latent Semantic Analysis
3 Experiment
3.1 Dataset Used
3.2 Method
4 Results
5 Discussion
6 Conclusion and Future Work
References
Item-Based Vs User-Based Collaborative Recommendation Predictions
1 Introduction
2 Related Work
3 Methodology
3.1 Collaborative Recommendation Algorithms
3.2 Incorporation of Content-Type Information
4 Evaluation
5 Conclusions and Future Work
References
An Integrated Smart City Platform
1 Introduction
2 Related Work
3 The Data Value Chain
4 Conclusions and Future Work
References
Accessing the Deep Web with Keywords: A Foundational Approach
1 Introduction
2 Preliminaries
3 The Complexity of Querying Under Access Limitations
4 Discussion
References
The KEYSTONE COST Action
The KEYSTONE IC1302 COST Action
1 The Action in a Nutshell
2 The KEYSTONE People
3 The KEYSTONE Activities
3.1 Meetings
3.2 Short-Term Scientific Missions and Training Schools
3.3 Dissemination and Scientific Results
4 Conclusions
References
KEYSTONE WG1: Activities and Results Overview on Representation of Structured Data Sources
1 Introduction
2 Generation of Structured Data (WG1.A)
2.1 From Unstructured or Semi-structured Data Sources
2.2 From Human Users in a Collaborative Way
2.3 From Sensors and IoT Devices
2.4 From Other Structured Data Sources
2.5 Methodologies, Standards and Good Practices to Publish and Consume Structured Data
3 Storing and Indexing of Structured Data (WG1.B)
4 Characterization, Integration and Federation of Data Sources (WG1.C)
5 Selection and Retrieval of Data Sources (WG1.D)
6 Composition of Working Group 1
7 Researchers Contributing to This Survey
References
KEYSTONE WG2: Activities and Results Overview on Keyword Search
1 WG2 - Keyword Search - Objectives
2 Dissemination and Communication Activities
3 Selected Publications Related to the WG2 Objectives
3.1 Data Preprocessing and Indexing
3.2 Query Understanding and Interpretation
3.3 Federated Search
3.4 Retrieval Models and Ranking
3.5 Integration and Fusion of Search Results
4 Future Research Directions
References
KEYSTONE WG3: Activities and Results Overview on User Interaction
1 WG3 Objectives
2 Review of Selected Papers
2.1 Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources
2.2 Selectivity-Based Keyword Extraction Method
2.3 Uncertainty Detection in Natural Language
2.4 Disambiguation of User Sentiment
2.5 Collective Intelligence for Exploratory Keyword Search
2.6 Exploiting Linguistic Analysis on URLs for Recommending Web Pages: A Comparative Study
2.7 Semantic Description of Liver Computerized Tomography Images
2.8 Keyword-Based Search of Workflow Fragments and Their Composition
2.9 Discovery and Recommendation of Web Services
3 Conclusion
References
KEYSTONE Activities and Results Overview on Training Schools
1 Introduction
2 Lectures
2.1 Linked Data
2.2 Information Retrieval
2.3 Natural Language Processing
2.4 Big Data and Big Linked Data
2.5 Semantic Keyword-Based Search over Structured Data Sources
2.6 Industrial Talks
3 Hackathon
4 Conclusion
References
KEYSTONE Activities and Results Overview on Enabling Mobility & Fostering Collaborations Through STSM
Abstract
1 Introduction - COST Short Term Scientific Missions (STSMs)
2 Keystone STSM Activities in Figures
3 Overview of Keystone STSMs
3.1 Main Themes and Topics
3.2 Summaries of Keystone STSMs
References
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Semantic Keyword-Based Search on Structured Data Sources

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