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Knowledge Engineering and Knowledge Management

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Cover of 'Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling, Generating, and Publishing Knowledge as Linked Data
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    Chapter 2 Tracing Shifting Conceptual Vocabularies Through Time
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    Chapter 3 The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned
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    Chapter 4 Combining Distributional Semantics and Structured Data to Study Lexical Change
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    Chapter 5 Learning Scorecard: Monitor and Foster Student Learning Through Gamification
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    Chapter 6 Towards an Architecture for Universities Management
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    Chapter 7 A Formalization of the French Elementary School Curricula
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    Chapter 8 Semantic Integration of Geospatial Data from Earth Observations
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    Chapter 9 Matching Ontologies Using a Frame-Driven Approach
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    Chapter 10 IKEYS: Interactive KEYword Search Dedicated to Corporate Data
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    Chapter 11 Soundness and Ontology-Based Consistency of Sensor Data Acquisition Plans
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    Chapter 12 Selecting and Tailoring Ontologies with JOYCE
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    Chapter 13 Representing Contextual Information as Fluents
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    Chapter 14 An Ontological Perspective on Thematic Roles
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    Chapter 15 StreamJess: Enabling Jess for Stream Data Reasoning and the Water Domain Case
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    Chapter 16 Flexible RDF Generation from RDF and Heterogeneous Data Sources with SPARQL-Generate
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    Chapter 17 DOREMUS to Schema.org: Mapping a Complex Vocabulary to a Simpler One
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    Chapter 18 FORMULIS: Dynamic Form-Based Interface for Guided Knowledge Graph Authoring
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    Chapter 19 Usability and Improvement of Existing Alignments: The LOINC-SNOMED CT Case Study
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    Chapter 20 LD Sniffer: A Quality Assessment Tool for Measuring the Accessibility of Linked Data
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    Chapter 21 A Benchmarking Framework for Stream Processors
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    Chapter 22 Life Science Ontologies in Literature Retrieval: A Comparison of Linked Data Sets for Use in Semantic Search on a Heterogeneous Corpus
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    Chapter 23 Building Citation Networks with SPACIN
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    Chapter 24 Graph-Based Relation Validation Method
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    Chapter 25 Probabilistic Inductive Logic Programming on the Web
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    Chapter 26 Financial Sentiment Orientation of Word Combinations
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    Chapter 27 Towards Mining Patterns for Exploratory Search with Keval Algorithm
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    Chapter 28 Swift Linked Data Miner Extension for WebProtégé
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    Chapter 29 Exposing rdf Archives Using Triple Pattern Fragments
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    Chapter 30 DKA-robo: Dynamically Updating Time-Invalid Knowledge Bases Using Robots
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    Chapter 31 Selecting Documents Relevant for Chemistry as a Classification Problem
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    Chapter 32 Addressing Knowledge Integration with a Frame-Driven Approach
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    Chapter 33 Automatic Maintenance of Semantic Annotations
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    Chapter 34 Photo Archives in Linked Open Data – The Federico Zeri’s Archive Case Study
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    Chapter 35 Dealing with Velocity and Variety in the Acquisition of Heterogeneous Sensor Data
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    Chapter 36 Semantic Data Integration for Industry 4.0 Standards
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    Chapter 37 Extracting Knowledge Claims for Automatic Evidence Synthesis Using Semantic Technology
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    Chapter 38 A Proposal for Self-Service OLAP Endpoints for Linked RDF Datasets
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    Chapter 39 Ontology Learning from Software Requirements Specification (SRS)
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    Chapter 40 Managing Ontology Mapping Change Based on Changing Inference Sets
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    Chapter 41 Modeling, Exploring and Recommending Music in Its Complexity
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    Chapter 42 Metropo-Lifeline: Participatory Description and Analysis of the Migration of Residents Within a Metropolitan Area
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    Chapter 43 Facilitating the Management and Analysis of Scholarly Communication Metadata
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Title
Knowledge Engineering and Knowledge Management
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-58694-6
ISBNs
978-3-31-958693-9, 978-3-31-958694-6
Editors

Paolo Ciancarini, Francesco Poggi, Matthew Horridge, Jun Zhao, Tudor Groza, Mari Carmen Suarez-Figueroa, Mathieu d'Aquin, Valentina Presutti

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Professor 1 8%
Lecturer 1 8%
Student > Ph. D. Student 1 8%
Unknown 7 58%
Readers by discipline Count As %
Computer Science 3 25%
Economics, Econometrics and Finance 1 8%
Engineering 1 8%
Unknown 7 58%