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Information modelling and knowledge bases XXX / edited by Tatiana Endrjukaite [and 5 others].

By: Contributor(s): Material type: TextTextSeries: Frontiers in artificial intelligence and applications ; v. 312.Publisher: Amsterdam ; Washington, DC : IOS Press B.V., [2019]Copyright date: ©2019Description: 1 online resource (xii, 554 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781614999331
  • 1614999333
Other title:
  • Information modelling and knowledge bases 30
Subject(s): Genre/Form: Additional physical formats: Print version:: Information modelling and knowledge bases XXX.DDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.S88 I58 2018
Online resources:
Contents:
Intro; Title Page; Preface; Committees; Contents; Goal-Oriented Adaptive and Extensible Study-Process Creation with Optimal Cyclic-Learning in Graph-Structured Knowledge; A Process Calculus for Design and Modeling of Retro-Synthesis; The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems; A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing; Cultures in Information Systems Development; Clutter Reduction in Parallel Coordinates Using Aesthetic Criteria; Toward Manageable Data Sources
Supportive Data Management for Collaborative ResearchShopping Mall Environmental Impact Evaluation Based on Microscopic Traffic Flow Simulation; Underwater Cooperation and Coordination of Manned and Unmanned Platforms Using S-BPM; A Semantic-Associative Computing System with Multi-Dimensional World Map for Ocean-Environment Analysis; Best Energy Mixture Model Based on Simulation Analysis on Electricity Generation -- A Case Study for Latvia with Combination of Wind and Biomass Power
Automatic Feature Extraction and Classification Model for Detecting Thai Clickbait Headlines Using Convolutional Neural NetworkA Multi-Parameterized Water Quality Prediction Method with Differential Computing Among Sampling Sites; Evaluation of Patterns for Mobile User Interface Enhancement; Type Checking Algorithm for the TIL-Script Language; Natural Deduction System in the TIL-Script Language; Giving a Frame to the Concept Space; Constraint Programming Based on Matrix-Like Representation of Qualitative Constraints
Application of 5D World Map System to Large News-Article Database for Realizing Context-Diversity-Responsive Semantic Associative SearchAn Environmental-Semantic Computing System of Multispectral Imagery for Coral Health Monitoring and Analysis; Relationship Between Vegetation Indices and SPAD Values of Waxy Corn Using an Unmanned Aerial Vehicle; Christian Elements in the News: Analyzing the News Coverage of the 2011 Great East Japan Earthquake in Japan, Germany and the USA; An Information Retrieval Approach for Text Mining of Medical Records Based on Graph Descriptor
A New Approach to Semantic Computing with Interval Matrix Decomposition for Interpreting Deforestation PhenomenonEmotion-Expression Robot with Global Evaluation Reflecting Multiple and Heterogeneous Sensing Elements; An Information Providing Method to Express Train Service Situation by Combining Multiple Sign-Logo Images; A Sensor Selection and Learning Method for Credibility Assessment Using Sensor Data; Semantic-Dependent Access Log Analysis for Predicting the Demographic Data; A Correlation Computing Method for Integrating Passengers and Services in Semantic Anticipation
Summary: Information modeling and knowledge bases have become essential subjects in the last three decades, not only in academic communities related to information systems and computer science, but also in the areas of business where information technology is applied.00This book presents the proceedings of the 28th International Conference on Information Modelling and Knowledge Bases (EJC2018), held in Riga, Latvia from 4?8 June 2018. The aim of the conference was to bring together experts with a common interest in the understanding and solving of problems on information modelling and knowledge bases, as well as those from different areas of computer science and other disciplines who apply the results of research to practice. The 39 accepted papers collected here cover a variety of topics, including: conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; multimedia data modeling and systems; and environmental modeling and engineering.
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Includes bibliographical references and indexes.

Information modeling and knowledge bases have become essential subjects in the last three decades, not only in academic communities related to information systems and computer science, but also in the areas of business where information technology is applied.00This book presents the proceedings of the 28th International Conference on Information Modelling and Knowledge Bases (EJC2018), held in Riga, Latvia from 4?8 June 2018. The aim of the conference was to bring together experts with a common interest in the understanding and solving of problems on information modelling and knowledge bases, as well as those from different areas of computer science and other disciplines who apply the results of research to practice. The 39 accepted papers collected here cover a variety of topics, including: conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; multimedia data modeling and systems; and environmental modeling and engineering.

Intro; Title Page; Preface; Committees; Contents; Goal-Oriented Adaptive and Extensible Study-Process Creation with Optimal Cyclic-Learning in Graph-Structured Knowledge; A Process Calculus for Design and Modeling of Retro-Synthesis; The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems; A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing; Cultures in Information Systems Development; Clutter Reduction in Parallel Coordinates Using Aesthetic Criteria; Toward Manageable Data Sources

Supportive Data Management for Collaborative ResearchShopping Mall Environmental Impact Evaluation Based on Microscopic Traffic Flow Simulation; Underwater Cooperation and Coordination of Manned and Unmanned Platforms Using S-BPM; A Semantic-Associative Computing System with Multi-Dimensional World Map for Ocean-Environment Analysis; Best Energy Mixture Model Based on Simulation Analysis on Electricity Generation -- A Case Study for Latvia with Combination of Wind and Biomass Power

Automatic Feature Extraction and Classification Model for Detecting Thai Clickbait Headlines Using Convolutional Neural NetworkA Multi-Parameterized Water Quality Prediction Method with Differential Computing Among Sampling Sites; Evaluation of Patterns for Mobile User Interface Enhancement; Type Checking Algorithm for the TIL-Script Language; Natural Deduction System in the TIL-Script Language; Giving a Frame to the Concept Space; Constraint Programming Based on Matrix-Like Representation of Qualitative Constraints

Application of 5D World Map System to Large News-Article Database for Realizing Context-Diversity-Responsive Semantic Associative SearchAn Environmental-Semantic Computing System of Multispectral Imagery for Coral Health Monitoring and Analysis; Relationship Between Vegetation Indices and SPAD Values of Waxy Corn Using an Unmanned Aerial Vehicle; Christian Elements in the News: Analyzing the News Coverage of the 2011 Great East Japan Earthquake in Japan, Germany and the USA; An Information Retrieval Approach for Text Mining of Medical Records Based on Graph Descriptor

A New Approach to Semantic Computing with Interval Matrix Decomposition for Interpreting Deforestation PhenomenonEmotion-Expression Robot with Global Evaluation Reflecting Multiple and Heterogeneous Sensing Elements; An Information Providing Method to Express Train Service Situation by Combining Multiple Sign-Logo Images; A Sensor Selection and Learning Method for Credibility Assessment Using Sensor Data; Semantic-Dependent Access Log Analysis for Predicting the Demographic Data; A Correlation Computing Method for Integrating Passengers and Services in Semantic Anticipation

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