Skip to main content

Semantics: Revolutionary Breakthrough or Just Another Way of Doing Things?

  • Chapter
  • First Online:
Book cover Semantic Web

Abstract

It sometimes feels like an uphill battle to explain why an organization should embrace semantic technology rather than continue to rely on relational databases and application programming in object-oriented languages. In this chapter, we review the formal foundations of various representations, and evaluate them against five criteria: understandability of the models, availability of information for retrieval, ability to infer new information which is provably correct, interoperability, and the ability of the data to speak to minds and machines alike with a shared semantics.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 149.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    ACID is an acronym for atomicity, consistency, isolation, and durability, a set of properties that guarantee that database transactions are processed reliably. Some of the challengers to relational technology have emerged from applications such as social media where performance and scalability have at least initially seemed more important than transactional integrity.

  2. 2.

    Minds and Machines is the name of a journal associated with the Society for Machines and Mentality. It is the name of an MIT OpenCourseware offering. It is also the name of an annual GE-sponsored event (see https://www.gemindsandmachines.com/).

  3. 3.

    But beware, we are not the first scientific epoch to view the working of the human mind as an extension of current technology. In a time when fluid dynamics was the newest thing, there were elaborate theories of how the brain worked based on fluid flows (Wade and Swanston 1991).

References

  • A JSON-based Serialization for Linked Data. (2014, January 16). Retrieved from W3C: http://www.w3.org/TR/json-ld/. Accessed 23 May 2015.

  • Baader, F., Calvanese, D., McGuinness, D., Nardi, D., & Patel-Schneider, P. (2003). The description logic handbook: Theory, implementation, and applications. Cambridge: Cambridge University Press.

    Google Scholar 

  • Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked data–the story so far. InternationalJjournal on Semantic Web and Information Systems, 5(3) 1–22.

    Google Scholar 

  • Crapo, A. W. (2014, September 25). Semantic application design language (SADL). Retrieved from SourceForge: http://sadl.sourceforge.net/. Accessed 23 May 2015.

  • Crapo, A. W., & Moitra, A. (2013). Towards a unified english-like representaton of semantic models, data, and graph patterns for subject matter experts. International Journal of Semantic Computing, 7(3), 215–236.

    Article  Google Scholar 

  • Crapo, A., Wang, X., Lizzi, J., & Larson, R. (2009). The semantically enabled smart grid. Grid-Interop. Denver: GridWise Architecture Council. Retrieved from http://www.gridwiseac.org/pdfs/forum_papers09/crapo.pdf. Accessed 23 May 2015.

    Google Scholar 

  • Crapo, A., Griffith, K., Khandelwal, A., Lizzi, J., Moitra, A., & Wang, X. (2010). Overcoming challenges using the CIM as a semantic model for energy applications. Grid-Interop 2010. Chicago: GridWise Architecture Council. Retrieved from http://www.smartgridnews.com/artman/uploads/1/crapo_gi10.pdf. Accessed 23 May 2015.

    Google Scholar 

  • Crapo, A., Piasecki, R., & Wang, X. (2011). The smart grid as a semantically enabled internet of things. Grid-Interop 2011. Phoenix: GridWise Architecture Council. Retrieved from http://www.pointview.com/data/files/3/2433/2137.pdf. Accessed 23 May 2015.

    Google Scholar 

  • Cunningham & Cunningham, Inc. (2014, September 26). Supplier parts database. Retrieved from http://c2.com/cgi/wiki?SupplierPartsDatabase. Accessed 23 May 2015.

  • Cyc. (2014, September 25). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/Cyc. Accessed 23 May 2015.

  • data.gov. (2014, November 15). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/Data.gov. Accessed 23 May 2015.

  • Date, C. J., & Darwen, H. (2006). Databases, types, and the relational model: The third Manifesto, (3rd ed). Reading, MA: Addison-Wesley.

    Google Scholar 

  • Dill, S. J., Barnett, B., Crapo, A., & Moitra, A. (2012). Patent No. 8166122. USA.

    Google Scholar 

  • Retrieved from http://google.com.ar/patents/us8166122. Accessed 23 May 2015.

  • Fox, P., McGuinness, D. L., West, P., Garcia, J., Benedict, J. L., & Middleton, D. (2009). Ontology-supported scientific data frameworks: The virtual solar-terrestrial observatory experience. Computers & Geosciences, 35(4), 724–738.

    Article  Google Scholar 

  • GE. (2014, February 25). Meet your maker: The third industrial revolution will be crowdsourced and digitized. Retrieved from GE Reports: http://www.gereports.com/post/77834521966/meet-your-maker. Accessed 23 May 2015.

  • GE Energy Storage. (n.d.). Durathon media center. Retrieved from GE Energy Storage: http://renewables.gepower.com/energy-storage.html. Accessed 23 May 2015.

  • Gunter, C. A., & Mitchell, J. C. (1994). Theoretical aspects of object-oriented programming: Types, semantics, and language design. Massachusetts: Institute of Technology.

    MATH  Google Scholar 

  • Gurr, C. A. (1997). On the isomorphism, or lack of it, of representations. In K. Marriot, & B. Meyer (Eds.), Visual Language Theory, ISBN 928-1-14612-7240. New York: Springer Science & Business, pp. 293–305.

    Google Scholar 

  • Gustafson, S., & Sheth, A. (2014, March). The Web of Things. Retrieved from Computing Now, Vol. 7, Number 3, IEEE Computer Society: http://www.computer.org/portal/web/computingnow/archive/march2014. Accessed 23 May 2015.

  • Information technology–Common Logic Standard (CL): a framework for a family of logic-based languages. (2007, October 01). Retrieved from ISO Standards Maintenance Portal: http://standards.iso.org/ittf/PubliclyAvailableStandards/c039175_ISO_IEC_24707_2007‼/span>%28E%29.zip. Accessed 23 May 2015.

  • Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness. Cambridge: Harvard university Press.

    Google Scholar 

  • Johnson-Laird, P. N. (1988). The computer and the mind. Cambridge: Harvard University Press.

    Google Scholar 

  • Johnson-Laird, P. N. (1993). Human and machine thinnking. Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Josang, A. (2013, February 18). Subjective logic (Draft). Retrieved from http://folk.uio.no/josang/papers/subjective_logic.pdf. Accessed 23 May 2015.

  • Marr, D. (1982). Vision: A computational investigation into the human representation and processing of visual information. San Francisco: W. H. Freeman and Company.

    Google Scholar 

  • Milicev, D. (2009). Model-driven development with executable UML. Indianapolis: Wiley.

    Google Scholar 

  • Moitra, A., Barnett, B., Crapo, A., & Dill, S. J. (2010). Using data provenance to measure information assurance attributes, June 15–16. In D. McGuinness, J. Michaelis,& A. Khandelwal, L. Moreau( Eds.) Provenance and Annotation of Data and Process: Third International Provenance and Annotation Workshop. Troy, NY, June 15-16, 2010, Revises Selected Papers, Springer Science & Business Media, New York, pp 111–119.

    Google Scholar 

  • Motik, B., Grau, B. C., Horrocks, I., Wu, Z., Fokoue, A., & Lutz, C. (2012, December 11). OWL 2 web ontology language profiles (2nd ed). Retrieved from W3C: http://www.w3.org/TR/owl2-profiles/. Accessed 23 May 2015.

  • Object Management Group. (2007). Ontology definition metamodel. Retrieved from http://www.omg.org/cgi-bin/doc?ptc/07-09-09.pdf. Accessed 23 May 2015.

  • Object Management Group. (2014, September 25). OMG’s metaobject facility. Retrieved from http://www.omg.org/mof/. Accessed 23 May 2015.

  • Object Modeling Group. (2013, April 2). MOF support for semantic structures. Retrieved from http://www.omg.org/spec/SMOF/1.0/PDF. Accessed 23 May 2015.

  • OWL 2 Web Ontology Language Manchester Syntax (Second Edition). (2012, December 11). Retrieved from W3C: http://www.w3.org/TR/owl2-manchester-syntax/. Accessed 23 May 2015.

  • Pan, B., & Gleason, J. B. (1997). Semiotic development: Learning the meanings of words. In J. B. Gleason (Ed.), The development of language, (4th ed). Boston: Allyn and Bacon.

    Google Scholar 

  • Rangarajan, A., Radhakrishnan, P., Moitra, A., Crapo, A., & Robinson, D. (2013). Manufacturability analysis and design feedback system developed using semantic framework. 18th design for manufacturing and the life cycle conference. Portland: ASME Proceedings.

    Google Scholar 

  • Resource Description Framework (RDF). (2014, September 25). Retrieved from W3C: http://www.w3.org/RDF/. Accessed 23 May 2015.

  • Sowa, J. F. (2014, September 24). The role of logic and ontology in language and reasoning. Retrieved from http://www.jfsowa.com/pubs/rolelog.pdf. Accessed 23 May 2015.

  • SPARQL-DL API. (2014, September 25). Retrieved from derivo Symantic Systems: http://www.derivo.de/en/resources/sparql-dl-api/. Accessed 23 May 2015.

  • SWRL: A Semantic Web Rule Language Combining OWL and RuleML. (2004, May 21). Retrieved from W3C: http://www.w3.org/Submission/SWRL/#3. Accessed 23 May 2015.

  • Wade, N. J., & Swanston, M. (1991). Visual perception. London: Routledge.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew W. Crapo PhD .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Crapo, A., Gustafson, S. (2016). Semantics: Revolutionary Breakthrough or Just Another Way of Doing Things?. In: Workman, M. (eds) Semantic Web. Springer, Cham. https://doi.org/10.1007/978-3-319-16658-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16658-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16657-5

  • Online ISBN: 978-3-319-16658-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics