↓ Skip to main content

Semantic Technology

Overview of attention for book
Cover of 'Semantic Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted?
  3. Altmetric Badge
    Chapter 2 Inquiry into RDF and OWL Semantics
  4. Altmetric Badge
    Chapter 3 Designing of Ontology for Domain Vocabulary on Agriculture Activity Ontology (AAO) and a Lesson Learned
  5. Altmetric Badge
    Chapter 4 SQuaRE: A Visual Approach for Ontology-Based Data Access
  6. Altmetric Badge
    Chapter 5 Compression Algorithms for Log-Based Recovery in Main-Memory Data Management
  7. Altmetric Badge
    Chapter 6 An Empirical Study on Property Clustering in Linked Data
  8. Altmetric Badge
    Chapter 7 A MapReduce-Based Approach for Prefix-Based Labeling of Large XML Data
  9. Altmetric Badge
    Chapter 8 RIKEN MetaDatabase: A Database Platform as a Microcosm of Linked Open Data Cloud in the Life Sciences
  10. Altmetric Badge
    Chapter 9 A Preliminary Investigation Towards Improving Linked Data Quality Using Distance-Based Outlier Detection
  11. Altmetric Badge
    Chapter 10 Linked Data Collection and Analysis Platform for Music Information Retrieval
  12. Altmetric Badge
    Chapter 11 Semantic Data Acquisition by Traversing Class–Class Relationships Over Linked Open Data
  13. Altmetric Badge
    Chapter 12 Estimation of Spatio-Temporal Missing Data for Expanding Urban LOD
  14. Altmetric Badge
    Chapter 13 ASPG: Generating OLAP Queries for SPARQL Benchmarking
  15. Altmetric Badge
    Chapter 14 Towards Answering Provenance-Enabled SPARQL Queries Over RDF Data Cubes
  16. Altmetric Badge
    Chapter 15 Data Analysis of Hierarchical Data for RDF Term Identification
  17. Altmetric Badge
    Chapter 16 PIWD: A Plugin-Based Framework for Well-Designed SPARQL
  18. Altmetric Badge
    Chapter 17 Non-hierarchical Relation Extraction of Chinese Text Based on Scalable Corpus
  19. Altmetric Badge
    Chapter 18 Entity Linking in Web Tables with Multiple Linked Knowledge Bases
  20. Altmetric Badge
    Chapter 19 Towards Multi-target Search of Semantic Association
  21. Altmetric Badge
    Chapter 20 Linking Named Entity in a Question with DBpedia Knowledge Base
  22. Altmetric Badge
    Chapter 21 Hypercat RDF: Semantic Enrichment for IoT
  23. Altmetric Badge
    Chapter 22 Enabling Spatial OLAP Over Environmental and Farming Data with QB4SOLAP
  24. Altmetric Badge
    Chapter 23 Classification of News by Topic Using Location Data
  25. Altmetric Badge
    Chapter 24 Monitoring and Automating Factories Using Semantic Models
Attention for Chapter 3: Designing of Ontology for Domain Vocabulary on Agriculture Activity Ontology (AAO) and a Lesson Learned
Altmetric Badge

Mentioned by

twitter
3 X users

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Designing of Ontology for Domain Vocabulary on Agriculture Activity Ontology (AAO) and a Lesson Learned
Chapter number 3
Book title
Semantic Technology
Published by
Springer International Publishing, November 2016
DOI 10.1007/978-3-319-50112-3_3
Book ISBNs
978-3-31-950111-6, 978-3-31-950112-3
Authors

Sungmin Joo, Seiji Koide, Hideaki Takeda, Daisuke Horyu, Akane Takezaki, Tomokazu Yoshida

Editors

Yuan-Fang Li, Wei Hu, Jin Song Dong, Grigoris Antoniou, Zhe Wang, Jun Sun, Yang Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Researcher 2 33%
Student > Bachelor 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Agricultural and Biological Sciences 1 17%