Skip to main content
SpringerLink
Log in

A Lightweight Linked Data Reasoner Using Jena and Axis2

  • Conference paper
  • First Online:
Advances and Trends in Artificial Intelligence. From Theory to Practice (IEA/AIE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11606))

Abstract

Semantic Web is rapidly becoming a reality through the development of Linked Data in recent years. Linked Data uses RDF data model to describe statements that link arbitrary data resources on the Internet. It can facilitate to infer new data resources at runtime through the RDF links, and then provide more complete answers as new data resources appear on the Internet. Linked Data provides the means to reach the goal of Semantic Web. At present, Linked Data being used only in the promotion of information sharing or exchange is not a semantic inference due to the lack of an easily shared inference engine. This study addresses the issue developing a Lightweight Linked Data Reasoner (LLDR) which is based on Jena reasoner and is implemented in the apache Axis2. To illustrate the LLDR application, this study developed the Vehicle Ontology to annotate project document from heterogeneous and distributed project resources as Linked Data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)

    Article  Google Scholar 

  2. Bizer, C., Cyganiak, R.: D2R Server. http://www4.wiwiss.fu-berlin.de/bizer/d2r-server/. Accessed 26 Feb 2012

  3. Subashini, S., Kavitha, V.: A survey on security issues in service delivery models of cloud computing. J. Netw. Comput. Appl. 34(1), 1–11 (2011)

    Article  Google Scholar 

  4. O’Reilly, T.: What is Web 2.0 (2005). http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html. Accessed 12 July 2010

  5. Hsu, I.-C.: Semantic tag-based profile framework for social tagging systems. Comput. J. 55(9), 1118–1129 (2012)

    Article  Google Scholar 

  6. Xu, G.-X., et al.: Semantic classification method for network Tibetan corpus. Cluster Comput. 20(1), 155–165 (2017)

    Article  Google Scholar 

  7. Hausenblas, M.: Exploiting linked data to build web applications. Internet Comput. IEEE 13(4), 68–73 (2009)

    Article  Google Scholar 

  8. Murugesan, S.: Understanding Web 2.0. IEEE IT Prof. 9(4), 34–41 (2007)

    Article  Google Scholar 

  9. Zhang, X., Lin, E., Lv, Y.: Multi-target search on semantic associations in linked data. Int. J. Seman. Web Inf. Syst. 14(1), 71–97 (2018)

    Article  Google Scholar 

  10. Zhao, Y., Fan, B.: Exploring open government data capacity of government agency: based on the resource-based theory. Govern. Inf. Quart. 35(1), 1–12 (2018)

    Article  Google Scholar 

  11. Horrocks, I., et al.: SWRL: a semantic web rule language combining OWL and RuleML (2003). http://www.daml.org/2003/11/swrl/. Accessed 31 Aug 2011

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Formosa University, 64, Wenhua Rd., Huwei Township, 632, Yunlin County, Taiwan

    I-Ching Hsu & Sin-Fong Lyu

Authors
  1. I-Ching Hsu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sin-Fong Lyu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to I-Ching Hsu .

Editor information

Editors and Affiliations

  1. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Franz Wotawa

  2. Department of Applied Informatics, University of Klagenfurt, Klagenfurt, Austria

    Gerhard Friedrich

  3. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Ingo Pill

  4. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Roxane Koitz-Hristov

  5. Department of Computer Science, Texas State University, San Marcos, TX, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hsu, IC., Lyu, SF. (2019). A Lightweight Linked Data Reasoner Using Jena and Axis2. In: Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019. Lecture Notes in Computer Science(), vol 11606. Springer, Cham. https://doi.org/10.1007/978-3-030-22999-3_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-22999-3_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22998-6

  • Online ISBN: 978-3-030-22999-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation