Semantic Technology: 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers | SpringerLink
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Semantic Technology

6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Yuan-Fang Li

    1. Information Technology, Monash University, Melbourne, Australia

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  2. Wei Hu

    1. Computer Science and Technology, Nanjing University, Nanjing, China

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  3. Jin Song Dong

    1. Computer Science, National University of Singapore, Singapore, Singapore

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  4. Grigoris Antoniou

    1. University of Huddersfield, Huddersfield, United Kingdom

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  5. Zhe Wang

    1. Information and Communication Technology, Griffith University, Brisbane, Australia

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  6. Jun Sun

    1. ISTD, Singapore University of Technology and Design, Singapore, Singapore

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  7. Yang Liu

    1. Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10055)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: JIST 2016.

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About this book

This book constitutes the thoroughly refereed proceedings of the 6th Joint International Semantic Technology Conference, JIST 2016, held in Singapore, Singapore, in November 2016. The main topics of JIST 2016 include among others ontology and reasoning; linked data; knowledge graph. The JIST 2016 conference consists of two keynotes, a main technical track, including (full and short papers) from the research and the in-use tracks, a Poster and Demo session, a workshop and two tutorials.

The 16 full and 8 short papers presented were carefully reviewed and selected from 34 submissions. The papers cover the following topics: ontology and data management; linked data; information retrieval and knowledge discovery; RDF and query; knowledge graph; application of semantic technologies.

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Keywords

Table of contents (24 papers)

  1. Front Matter

    Pages I-XIX
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  2. Ontology and Data Management

    1. Front Matter

      Pages 1-1
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    2. How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted?

      • Isa Guclu, Carlos Bobed, Jeff Z. Pan, Martin J. Kollingbaum, Yuan-Fang Li
      Pages 3-14

    3. Inquiry into RDF and OWL Semantics

      • Seiji Koide, Hideaki Takeda
      Pages 15-31

    4. Designing of Ontology for Domain Vocabulary on Agriculture Activity Ontology (AAO) and a Lesson Learned

      • Sungmin Joo, Seiji Koide, Hideaki Takeda, Daisuke Horyu, Akane Takezaki, Tomokazu Yoshida
      Pages 32-46

    5. SQuaRE: A Visual Approach for Ontology-Based Data Access

      • Michał Blinkiewicz, Jarosław Bąk
      Pages 47-55

    6. Compression Algorithms for Log-Based Recovery in Main-Memory Data Management

      • Gang Wu, Xianyu Wang, Zeyuan Jiang, Jiawen Cui, Botao Wang
      Pages 56-64

  3. Linked Data

    1. Front Matter

      Pages 65-65
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    2. An Empirical Study on Property Clustering in Linked Data

      • Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu
      Pages 67-82

    3. A MapReduce-Based Approach for Prefix-Based Labeling of Large XML Data

      • Jinhyun Ahn, Dong-Hyuk Im, Hong-Gee Kim
      Pages 83-98

    4. RIKEN MetaDatabase: A Database Platform as a Microcosm of Linked Open Data Cloud in the Life Sciences

      • Norio Kobayashi, Kai Lenz, Hiroshi Masuya
      Pages 99-115

    5. A Preliminary Investigation Towards Improving Linked Data Quality Using Distance-Based Outlier Detection

      • Jeremy Debattista, Christoph Lange, Sören Auer
      Pages 116-124

  4. Information Retrieval and Knowledge Discovery

    1. Front Matter

      Pages 125-125
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    2. Linked Data Collection and Analysis Platform for Music Information Retrieval

      • Yuri Uehara, Takahiro Kawamura, Shusaku Egami, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga
      Pages 127-135

    3. Semantic Data Acquisition by Traversing Class–Class Relationships Over Linked Open Data

      • Atsuko Yamaguchi, Kouji Kozaki, Kai Lenz, Yasunori Yamamoto, Hiroshi Masuya, Norio Kobayashi
      Pages 136-151

    4. Estimation of Spatio-Temporal Missing Data for Expanding Urban LOD

      • Shusaku Egami, Takahiro Kawamura, Akihiko Ohsuga
      Pages 152-167

  5. RDF and Query

    1. Front Matter

      Pages 169-169
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    2. ASPG: Generating OLAP Queries for SPARQL Benchmarking

      • Xin Wang, Steffen Staab, Thanassis Tiropanis
      Pages 171-185

    3. Towards Answering Provenance-Enabled SPARQL Queries Over RDF Data Cubes

      • Kim Ahlstrøm, Katja Hose, Torben Bach Pedersen
      Pages 186-203

    4. Data Analysis of Hierarchical Data for RDF Term Identification

      • Pieter Heyvaert, Anastasia Dimou, Ruben Verborgh, Erik Mannens
      Pages 204-212
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Other volumes

  1. Semantic Technology

Editors and Affiliations

  • Information Technology, Monash University, Melbourne, Australia

    Yuan-Fang Li

  • Computer Science and Technology, Nanjing University, Nanjing, China

    Wei Hu

  • Computer Science, National University of Singapore, Singapore, Singapore

    Jin Song Dong

  • University of Huddersfield, Huddersfield, United Kingdom

    Grigoris Antoniou

  • Information and Communication Technology, Griffith University, Brisbane, Australia

    Zhe Wang

  • ISTD, Singapore University of Technology and Design, Singapore, Singapore

    Jun Sun

  • Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Yang Liu

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