Knowledge Engineering and Knowledge Management : 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings / edited by Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint.

Format:

Book

Contributor:

Zucker, Catherine Faron, editor.

Ghidini, Chiara, editor.

Napoli, Amedeo, editor.

Toussaint, Yannick, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 11313.

Lecture Notes in Artificial Intelligence ; 11313

Language:

English

Subjects (All):

Artificial intelligence.

Computers.

Artificial Intelligence.

Information Systems and Communication Service.

Theory of Computation.

Local Subjects:

Artificial Intelligence.

Information Systems and Communication Service.

Theory of Computation.

Physical Description:

1 online resource (XVI, 586 pages) : 157 illustrations, 99 illustrations in color.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018, held in Nancy, France, in November 2018. The 36 full papers presented were carefully reviewed and selected from 104 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "Knowledge and AI", id est papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.

Contents:

An Empirical Evaluation of RDF Graph Partitioning Techniques.-Fuzzy Semantic Labeling of Semi-structured Numerical Datasets

From Georeferenced Data to Socio-spatial Knowledge. Ontology Design

Patterns to discover Domain-speci_c Knowledge from Crowdsourced Data

Conceptual Schema Transformation in Ontology-based Data Access

SWRL Reasoning with Decision Tables

A framework for explaining query answers in DL-Lite

DL-Foil: Class Expression Learning Revisited

Requirements behaviour analysis for ontology testing

Interactive Interpretation of serial episodes

Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasets

Making Sense of Numerical Data - Semantic Labelling of Web Tables

Towards Enriching DBpedia from Vertical Enumerative Structures using a Distant Learning Approach

The Utility of the Abstract Relational Model and Attribute Paths in SQL

Support and Centrality: Learning Weights for Knowledge Graph Embedding Models

OmniScience and Extensions - Lessons Learned from Designing a Multi Domain, Multi-Use Case Knowledge Representation System

A Semantic Use Case Simulation Framework for Training Machine Learning Algorithms

KnIGHT: Mapping Privacy Policies to GDPR

Automating Class / Instance Representational Choices in Knowledge Bases

Comparative Preferences in SPARQL

Interplay of Game Incentives, Player Profiles and Task Dificulty in Games with a Purpose

Inferring Types on Large Datasets Applying Ontology Class Hierarchy Classifiers: The DBpedia Case

A Framework for Tackling Myopia in Concept Learning on the Web of Data

Boosting Holistic Ontology Matching : an Extended Linear Approach and its Evaluation on Graph Clique-based Relaxed Reference Alignments

Prominence and Dominance in Networks

Deploying Spatial-Stream Query Answering in C-ITS Scenarios

Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base

On Extracting Relations using Distributional Semantics and a Tree Generalization

A Query Model for Ontology-Based Event Processing over RDF Streams

A Random Walk Model for Entity Relatedness

Using SPARQL - the practitioners' viewpoint

Combining Machine Learning and Semantics for Anomaly Detection

EROSO: Semantic Technologies towards thermal comfort in workplaces

Divided we stand out! Forging Cohorts for Numeric Outlier Detection in large scale knowledge graphs (CONOD)

Decision Support Models to Assist in the Diagnosis of Meningitis

A Framework to Conduct and Report on Empirical User Studies in Semantic Web Contexts.

Other Format:

Printed edition:

ISBN:

978-3-030-03667-6

9783030036676

Access Restriction:

Restricted for use by site license.