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Scholarly Ontology: modelling scholarly practices

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Abstract

In this paper we present the Scholarly Ontology (SO), an ontology for modelling scholarly practices, inspired by business process modelling and Cultural-Historical Activity Theory. The SO is based on empirical research and earlier models and is designed so as to incorporate related works through a modular structure. The SO is an elaboration of the domain-independent core part of the NeDiMAH Methods Ontology addressing the scholarly ecosystem of Digital Humanities. It thus provides a basis for developing domain-specific scholarly work ontologies springing from a common root. We define the basic concepts of the model and their semantic relations through four complementary perspectives on scholarly work: activity, procedure, resource and agency. As a use case we present a modelling example and argue on the purpose of use of the model through the presentation of indicative SPRQL and SQWRL queries that highlight the benefits of its serialization in RDFS. The SO includes an explicit treatment of intentionality and its interplay with functionality, captured by different parts of the model. We discuss the role of types as the semantic bridge between those two parts and explore several patterns that can be exploited in designing reusable access structures and conformance rules. Related taxonomies and ontologies and their possible reuse within the framework of SO are reviewed.

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Notes

  1. http://www.taverna.org.uk/.

  2. http://www.nedimah.eu/.

  3. http://www.w3.org/TR/owl-time.

  4. http://www.w3.org/2003/01/geo.

  5. http://www.loc.gov/marc/bibliographic/.

  6. http://www.iana.org/assignments/media-types/media-types.xhtml.

  7. http://www.openarchives.org/ore/1.0/datamodel.

  8. http://xmlns.com/foaf/spec/.

  9. http://rdfs.org/sioc/spec/.

  10. http://tadirah.dariah.eu/vocab/index.php.

  11. http://www.ahds.ac.uk/about/projects/pmdb-extension/index.htm.

  12. http://digital.humanities.ox.ac.uk/methods/ict-methodology.aspx.

  13. http://www.essepuntato.it/2011/02/argumentmodel.

  14. http://www.w3.org/TR/hcls-swan/.

  15. http://www.essepuntato.it/lode/http://purl.org/spar/doco.

  16. http://sempublishing.sourceforge.net/.

  17. http://www.w3.org/2009/08/skos-reference/skos.html.

References

  1. Berman, F., Fox, G., Hey, A.J.G.: Grid Computing. Wiley, New York (2003)

    Book  Google Scholar 

  2. Research Infrastructures in the Digital Humanities. Science Policy Briefing, vol. 42. European Science Foundation, ISBN: 978-2-918428-50-3 (2011). http://www.esf.org/fileadmin/Public_documents/Publications/spb42_RI_DigitalHumanities.pdf

  3. Benardou, A., Constantopoulos, P., Dallas, C.: An approach to analyzing working practices of research communities in the humanities. Int. J. Humanit. Arts Comput. 7, 105–127 (2013)

    Article  Google Scholar 

  4. Case, D.O.: Looking for information: a survey of research on information seeking, needs, and behavior. Academic Press, San Diego, CA (2002)

  5. Bearman, D.: Overview and discussion points. In: Research agenda for networked cultural heritage. Getty AHIP, pp. 7–22 . Santa Monica, CA (1996)

  6. Brodaric, B., Gahegan, M.: Ontology use for semantic e-science. Semant. Web (2010). doi:10.3233/SW-2010-0021

  7. Thanos, C.: The future of digital scholarship. Procedia Comput. Sci. 38, 22–27 (2014)

    Article  Google Scholar 

  8. Thanos, C.: Mediation: the technological foundation of modern science. Data Sci. J. 13, 88–105 (2014)

    Article  Google Scholar 

  9. Meho, L.I., Tibbo, H.R.: Modeling the information-seeking behaviour of social scientists: Ellis’s study revisited. J. Am. Soc. Inf. Sci. Tech. 54, 570–587 (2003)

  10. Palmer, C.L., Cragin, M.H.: Scholarship and disciplinary practices. Annu. Rev. Inf. Sci. (2008)

  11. Unsworth, J.: Scholarly primitives: what methods do humanities researchers have in common, and how might our tools reflect this? King’s College, London (2000). http://www3.isrl.illinois.edu/~unsworth/Kings.5-00/primitives.html. Accessed 4 Aug 2009

  12. Victor Kaptelinin, B.A.N.: Acting with Technology: Activity Theory and Interaction Design, p. 1347 (2006)

  13. Yu, E., Giorgini, P., Maiden, N., Mylopoulos, J., Fickas, S.: Modelling strategic relationships for process reengineering. In: Social Modelling for Requirements Engineering, p. 11152

  14. Sun, J., Loucopoulos, P., Zhao, L.: Representing and elaborating quality requirements: the QRA approach. Lecture Notes in Computer Science, vol. 8217, pp. 446–453. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41924-9_37

  15. Tsakonas, G., Papatheodorou, C.: An ontological representation of the digital library evaluation domain. J. Am. Soc. Inf. Sci. Technol. 62(8), 1577–1593 (2011)

    Article  Google Scholar 

  16. Dietz, J.L.G.: Enterprise Ontology: Theory and Methodology, Enterprise Ontology (2006)

  17. Weske, M.: Business Process Management. Springer, Berlin (2012). doi:10.1007/978-3-642-28616-2

    Book  Google Scholar 

  18. Fox, M.S.: The TOVE project towards a common-sense model of the enterprise. In: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, vol. 604, p. 2534. Springer, Berlin (1992). doi:10.1007/BFb0024952

  19. Uschold, M., King, M., Moralee, S.: The enterprise ontology. Knowl. Eng. Rev. 13(1), 31–89 (1998)

    Article  Google Scholar 

  20. Malone, T.W., Crowston, K., Herman, G.A.G.A1.: Organizing Business Knowledge: The MIT Process Handbook. MIT Press, Cambridge (2003)

    Google Scholar 

  21. Crofts, N., Doerr, M., Gill, T., Stead, S., Stiff, M. (eds.): Definition of the CIDOC conceptual reference model (version 5.0.1). ICOM/CIDOC CRM Special Interest Group (2009). http://cidoc.ics.forth.gr/official_release_cidoc.html

  22. Guizzardi, G., Wagner, G.: A unified foundational ontology and some applications of it in business modelling. In: CAiSE Workshops, pp. 129–143 (2004)

  23. Workflows for e-Science: Scientific workflows for grids (2006)

  24. Deelman, E., Gannon, D., Shields, M., Taylor, I.: Workflows and e-Science: an overview of workflow system features and capabilities. Futur. Gener. Comput. Syst. 25, 528–540 (2009)

    Article  Google Scholar 

  25. Benardou, A., Constantopoulos, P., Dallas, C., Gavrilis, D.: Understanding the information requirements of arts and humanities scholarship. IJDC 5, 18–33 (2010)

    Article  Google Scholar 

  26. Constantopoulos, P., Dallas, C., Doorn, P., Gavrilis, D., Gros, A., Stylianou, G.: Preparing DARIAH. In: Proceedings of the International Conference on Virtual Systems and MultiMedia (VSMM08). Nicosia, Cyprus (2008). http://www.dcu.gr/dcu/Documents/documents/preparing-dariah/en/attachment

  27. NeDiMAH Methods Ontology (NeMO). http://nemo.dcu.gr

  28. Benardou, A., et al.: A conceptual model for scholarly research activity. In: Unsworth, J., Rosenbaum, H., Fisher, K.E. (eds.) iConference 2010 Proceedings (Urbana–Champaign, Ill., 2010), p. 2632 (2010)

  29. Doerr, M., Kritsotaki, A., Christophides, V., Kotzinos, D.: Reference Ontology for Knowledge Creation Processes. Collaborative Knowledge Creation, pp. 31–52. Sense Publishers, Rotterdam (2012). doi:10.1007/978-94-6209-004-0_3

  30. Francesconi, F., Dalpiaz, F., Mylopoulos, J.: TBIM: A Language for Modelling and Reasoning about Business Plans. Conceptual Modelling. Springer, Berlin (2013)

    Google Scholar 

  31. Doerr, M., Tzobanakis, M.: On information organization in annotation systems. In: Lecture Notes in Computer Science, p. 189200. Springer, Berlin (2005)

  32. Suzuki, T., Hosoya, M.: Computational stylistic analysis of popular songs of japanese female singer-songwriters. Digit. Humanit. Q. 8 (2014). http://www.digitalhumanities.org/dhq/vol/8/1/000170/000170.html

  33. Stocker, M., Smith, M.: Owlgres: a scalable OWL reasoner. Owled (2008)

  34. Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL reasoner. 5(2), 5153 (2007). doi:10.1016/j.websem.2007.03.004

  35. O’Connor, M.J., Das, A.K.: SQWRL: a query language for OWL. OWLED (2009)

  36. SWRL: a semantic web rule language combining OWL and RuleML. http://www.w3.org/Submission/SWRL/

  37. TOULMIN, S.E.: The Uses of Argument, 2nd edn. Cambridge University Press, Cambridge (2003)

    Book  Google Scholar 

  38. FaBiO and CiTO: ontologies for describing bibliographic resources and citations. 17, 3343 (2012). doi:10.1016/j.websem.2012.08.001

  39. Soldatova, L.N., King, R.D.: An ontology of scientific experiments. J. R. Soc. Interface 3(11), 795–803 (2006)

    Article  Google Scholar 

  40. Newman, D., Bechhofer, S., De Roure, D.: myExperiment: an ontology for e-research (2009)

  41. Doerr, M., Rousakis, Y., Hiebel, G.: CRMsci: the scientific observation model. 135 (2014)

  42. Sure, Y., Bloehdorn, S., Haase, P., Hartmann, J., Oberle, D.: The SWRC ontology semantic web for research communities. In: Presented at the EPIA’05: Proceedings of the 12th Portuguese Conference on Progress in Artificial Intelligence, Berlin (2005)

  43. Tifous, A., Ghali, El, A., Dieng-Kuntz, R., Giboin, A., Christina, C., Vidou, G., : An Ontology for Supporting Communities of Practice. ACM, New York (2007)

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Acknowledgments

We are grateful to Stavros Angelis, Costis Dallas, Agiatis Benardou, Leonidas Papachristopoulos, Nephelie Chatzidiakou, Eliza Papaki and Lorna Hughes for many productive discussions and insights. This work was in part supported by the projects Network for Digital Methods in the Arts and Humanities (NeDiMAH), DARIAH- ATTIKH: Developing the Greek Research Infrastructure for the Humanities DYAS, and the AUEB Original Publications Programme.

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Correspondence to Vayianos Pertsas.

Appendix: Overview of SO classes and properties

Appendix: Overview of SO classes and properties

1.1 Namespaces other than SO are declared as prefixes

ClassName

SubClassOf

Properties

Range

Activity

Event

employs

Method

isTreggeredBy

ResearchQuestion

produces

InformationResource

uses

InformationResource

isDocumentedIn

InformationResource

hasParticipant

Actor

usesTool

Tool

where

Place

when

Time

hasScope

ActivityType

partOf

Activity

follows

Activity

resultsIn

Assertion

hasObjective

Goal

ActivityType

Type

isScopeOf

Activity

isPurposeOfEmploymentOf

Method

isIntentionOf

Actor

isPurposeOfUseOf

Tool

Actor

UFO:Agent

participatesIn

Activity

CRM:Actor

hasGoal

Goal

hasIntention

ActivityType

hasRole

ActorRole

ActorRole

Type

isRoleOf

ActorRole

Aggregation

InformationResource

hasMember

InformationResource

Annotation

Assertion

  

Assertion

ConceptualObject

isResultOf

Activity

Collection

PhysicalObject

  

ConceptualObject

CRM:ConceptualObject

  

ContentItem

InformationResource

providesDescriptionFor

Mehtod

providesReferenceFor

Mehtod

Course

Activity

teaches

Method

Dataset

InformationResource

  

Discipline

Type

isOriginOf

Method

Event

UFO:Event

  

CRM:Event

  

Goal

Assertion

isGoalOf

Actor

dependsOn

Goal

comprises

Goal

isAddressedBy

Method

isObjectiveOf

Activity

Group

Actor

  

InformationCarrier

PhysicalObject

  

InformationResource

ConceptualObject

isCarriedBy

InformationCarrier

hasType

InformationResourceType

hasFormat

MediaType

isRepresentationOf

ConceptualObject

isUsedIn

Activity

isProductOf

Activity

ProvidesDocumentationFor

Activity

isMemberOf

Aggregation

hasTopic

Topic

isDescribedBy

Metadata

InformationResourceType

Type

isTypeOf

InformationResource

isPrescribedAsTypeBy

Method

MediaType

Type

isPrescribedAsFormatBy

yMethod

isFormatOf

InformationResource

Metadata

InformationResource

describes

InformationResource

Method

ConceptualObject

prescribesTool

Tool

isEmployedIn

Activity

isTaughtIn

Course

isUsedIn

Project

isEmployedFor

ActivityType

prescribesFormat

MediaType

treats

ResearchQuestion

hasDescription

ContentItem

isReferencedIn

ContentItem

prescibesType

InformationResourceType

hasPart

Step

comesFrom

Discipline

isInfluencedBy

SchoolOfThought

addresses

Goal

Model

Tool

  

ConceptualObject

  

Object

CRM:Thing

isInvolvedIn

Activity

UFO:Endurant

  

Person

Actor

  

PhysicalObject

CRM:PhysicalObject

  

PhysicalTool

PhysicalObject

  

Tool

  

Project

Activity

usesMethod

Method

Proposition

Assertion

  

ResearchQuestion

Assertion

Triggers

Activity

 

istreatedBy

Method

SchoolOfThought

Type

influences

Method

Software

InformationResource

  

Tool

Object

isUsedAsToolIn

Activity

isPrescribedAsToolBy

Method

isUsedAsToolFor

ActivityType

Topic

ConceptualObject

isTopicOf

InformationResource

TopicExpression

Topic

  

TopicKeyword

Topic

  

Type

  

Type

ConceptualObject

  

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Pertsas, V., Constantopoulos, P. Scholarly Ontology: modelling scholarly practices. Int J Digit Libr 18, 173–190 (2017). https://doi.org/10.1007/s00799-016-0169-3

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