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Experiences of a “semantics smackdown”

Abstract

Within the field of ocean science there is a long history of using controlled vocabularies and other Semantic Web techniques to provide a common and easily exchanged description of datasets. As an activity within the European Union, United States, Australian-funded project “Ocean Data Interoperability Platform”, a workshop took place in June 2014 at Rensselaer Polytechnic Institute to further the use of these Semantic Web techniques with the aim of producing a set Linked Data publication patterns which describe many parts of a marine science dataset. During the workshop, a Semantic Web development methodology was followed which promoted the use of a team with mixed skills (computer, data and marine science experts) to rapidly prototype a model ontology which could be iterated in the future. In this paper we outline the methodology employed in the workshop, and examine both the technical and sociological outcomes of a workshop of this kind.

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References

  • Archer P (2014) Report of the Joint World Wide Web Consortium/Open Geospatial Consortium workshop Linking Geospatial Data, 5th - 6th March, 2014, Campus London, Shoreditch, London, UK World Wide Web Consortium https://wwww3org/2014/03/lgd/report Accessed 27 May 2015

  • Barley SR (1990) The alignment of technology and structure through roles and networks. Adm Sci Q 35:61–103

    Article  Google Scholar 

  • Berners-Lee T (2006) Linked Data - design issues. World Wide Web Consortium. http://www.w3.org/DesignIssues/LinkedData.html. Accessed 10 April 2015

  • Chen Y, Shepherd A, Chandler C, Arko R, Leadbetter A (2014) Ontology based vocabulary matching for oceanographic instruments. In EGU General Assembly Conference Abstracts (Vol. 16, p. 12909).

  • Cox S (2010) Observations and measurements. OGC abstract specification topic 20. open geospatial consortium document 10-004r3. http://portal.opengeospatial.org/files/41579. Accessed December 8, 2014.

  • DeSanctis G, Poole MS (1994) Capturing the complexity in advanced technology use: Adaptive structuration theory. Organ Sci 5(2):121–147

    Article  Google Scholar 

  • Duerr R, McCusker J, Parsons M, Khalsa S, Pulsifer P, Thompson C, Yan R, McGuinness D, Fox P (2015) Formalizing the semantics of sea ice. Earth Science Informatics 8(1):51–62

    Article  Google Scholar 

  • Evans JD (1997) Infrastructures for sharing geographic information among environmental agencies. Doctoral dissertation, Massachusetts Institute of Technology

    Google Scholar 

  • Fernández López M. (1999) Overview of methodologies for building ontologies. Proceedings of the IJCAI-99 workshop on Ontologies and problem solving methods (KRR5). Stockholm, Sweden, August 2.

  • Fox P, McGuinness D (2008) TWC Semantic Web Methodology. Tetherless World Constellation, Rensselaer Polytechnic Institute. http://tw.rpi.edu/web/doc/TWC_SemanticWebMethodology. Accessed 10 April 2015

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

    Article  Google Scholar 

  • Fu L, Arko R, Leadbetter A (2014) Rapid deployment of a restful service for oceanographic research cruises. In EGU General Assembly Conference Abstracts (Vol. 16, p. 1335).

  • Glaves H, Schaap D, Arko R, Proctor R (2014) Ocean Data Interoperability Platform (ODIP): supporting the development of a common global framework for marine data management through international collaboration. In EGU General Assembly Conference Abstracts 16: 14366.

  • Gómez-Pérez, A. (1998). Knowledge sharing and reuse. Handbook of applied expert systems, 10–11.

  • INSPIRE (2013). D2.8.II/III.7 Data specification on environmental monitoring Facilities - technical guidelines. Accessed February 01, 2016. http://inspire.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_EF_v3.0.pdf

  • International Oceanographic Commission (1987) A general formatting system for Geo-referenced Data. International Oceanographic Commission, Paris, France

    Google Scholar 

  • Leadbetter A, Arko R, Chandler C, Shepherd A, Lowry R (2013) Linked Data: An oceanographic perspective. J Ocean Tech 8(3):7–12

    Google Scholar 

  • Leadbetter A, Arko R, Chandler C, Shepherd A, Lowry R (2015) Loose integration of local information to generate collaborative marine science knowledge. In: Diviacco P, Fox P, Pshenichy C, Leadbetter A (eds) Collaborative Knowledge in Scientific Research Networks. IGI Global, Hershey, PA, pp. 238–261

    Google Scholar 

  • Leadbetter A, Lowry R, Clements DO (2014) Putting meaning into NETMAR - the open service network for marine environmental data. Int J of Digital Earth 7(10):811–828. doi:10.1080/17538947.2013.781243

    Article  Google Scholar 

  • Leadbetter A, Vodden P (2015) Semantic linking of complex properties, monitoring processes and facilities in web-based representations of the environment. Int J of Digital Earth, online only. doi:10.1080/17538947.2015.1033483

  • Lebo T, Sahoo S, McGuinness D eds. (2013) PROV-O: The PROV Ontology. World Wide Web Consortium. http://www.w3.org/TR/2013/REC-prov-o-20130430/ Accessed October 17 2014,

  • Lebo T, West P, McGuinness DL (2014) Walking into the future with PROV Pingback: An application to OPeNDAP using Prizms. In Provenance and annotation of data and processes. Springer International Publishing, 31–43.

  • McGuinness DL (2003) Ontologies come of age. Spinning the semantic web: bringing the World Wide Web to its full potential, 171-196.

  • Markus ML, Robey D (1988) Information technology and organizational change: causal structure in theory and research. Manag Sci 34(5):583–598

    Article  Google Scholar 

  • Narock T, Krisnadhi A, Hitzler P, Cheatham M, Arko R, Carbotte S, Shepherd A, Chandler C, Raymond L, Wiebe P, Finin T (2014) The oceanlink project. In 2014 I.E. International Conference on Big Data (pp. 14–21). IEEE.

  • Orlikowski WJ, Robey D (1991) Information technology and the structuring of organizations. Inf Syst Res 2(2):143–169

  • Orlikowski WJ (1992) The duality of technology: Rethinking the concept of technology in organizations. Organ Sci 3(3):398–427

    Article  Google Scholar 

  • Ranson S, Hinings B, Greenwood R (1980) The structuring of organizational structures. Adm Sci Q 25:1–17

    Article  Google Scholar 

  • RDA Europe (2014) “The data harvest: How sharing research data can yield knowledge, jobs, and growth”. An RDA Europe Report. December, 2014. http://europe.rd-alliance.org/documents/publications-reports/data-harvest-how-sharing-research-data-can-yield-knowledge-jobs-and

  • Riley E (2015) Tackling environmental issues at EnviroHack 2015 – Part 1. Digital catapult centre. http://www.digitalcatapultcentre.org.uk/tackling-environmental-issues-at-envirohack-2015-part-1/ Accessed June 8 2014.

  • Rozum I, Raoult B, Dee D (2014) Assessing variability in climate data: a significant event viewer tool. In EGU General Assembly Conference Abstracts 16: 13327.

  • United States National Science Foundation (2015) “NSF’S PUBLIC ACCESS PLAN: Today’s Data, Tomorrow’s Discoveries; Increasing Access to the Results of Research Funded by the National Science Foundation”. US NSF 15-52. Arlington, VA, USA. March 2015. http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf15051

  • Urban ER Jr, Boscolo R (2013) Using Scientific Meetings to Enhance the Development of Early Career Scientists. Oceanography 26(2):164–170

    Article  Google Scholar 

  • Van De Poel I (2000) On the role of outsiders in technical development. Tech Anal Strat Manag 12(3):383–397

    Article  Google Scholar 

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Acknowledgments

The work described in this paper was funded in part through European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 312492, and in part by supplemental funding from the National Science Foundation to the R2R program (NSF OCE 0947877, 0947822, 0947828, 0947784). The workshop was kindly hosted by the Tetherless World Constellation at Rensselaer Polytechnic Institute. At the time of the workshop, Adam Leadbetter represented the British Oceanographic Data Centre.

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Correspondence to Adam M. Leadbetter.

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Communicated by: H. A. Babaie

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Leadbetter, A.M., Shepherd, A., Arko, R. et al. Experiences of a “semantics smackdown”. Earth Sci Inform 9, 355–363 (2016). https://doi.org/10.1007/s12145-016-0252-8

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Keywords

  • Oceanography
  • Semantic Web
  • Linked Data
  • Development Patterns
  • Workshop Methodology