Towards the nature of citations

Conference poster


Joerg, B. 2008. Towards the nature of citations. Eschenbach, C. and Michael, G. (ed.) FOIS 2008. Saarbrücken, Germany 31 Oct - 03 Nov 2008 German Research Center for Artificial Intelligence (DFKI). pp. 31-36
TypeConference poster
TitleTowards the nature of citations
AuthorsJoerg, B.
Abstract

Citation Analysis has a long tradition in information science where it is a subfield of bibliometrics, now often called scientometrics or informetrics. Since its inception, when Eugene Garfield set up the Science Citation Index at the Institute for Scientific Information (ISI) in 1960, citation counts have matured towards a serious means of assessment for the impact of scholarly work. Along with their application grew the criticism about the quality of simple counts and various attempts were made to examine the citation content or context for getting deeper insight into the development and transfer of scientific knowledge. Several methods have since been employed for examination and classification of citations with respect to their function. With this paper we propose cue verbs (verbs within the citation function) to be highly supportive in understanding the citation relation and with it the knowledge acquisition process. Cue words have been categorized into classes, but they could be organized ontologically in multiple dimensions. A better understanding of the citation function will thus be the seed for a citation ontology, which we consider extremely useful for machine learning tasks, and in areas such as knowledge engineering and information system design.

ConferenceFOIS 2008
Page range31-36
EditorsEschenbach, C. and Michael, G.
ISBN
Hardcover9781586039233
PublisherGerman Research Center for Artificial Intelligence (DFKI)
Publication dates
Print31 Oct 2008
Publication process dates
Deposited27 Sep 2020
Output statusPublished
Web address (URL)https://www.dfki.de/web/forschung/projekte-publikationen/publikationen-uebersicht/publikation/3966/
LanguageEnglish
Book titlePoster Proceedings of the 5th International Conference on Formal Ontology in Information Systems
Permalink -

https://repository.mdx.ac.uk/item/8917v

  • 31
    total views
  • 0
    total downloads
  • 4
    views this month
  • 0
    downloads this month

Export as

Related outputs

CERIF: the common European research information format model
Joerg, B. 2010. CERIF: the common European research information format model. Data Science Journal. 9 (2010), pp. CRIS24-CRIS31. https://doi.org/10.2481/dsj.CRIS4
Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL
Joerg, B., Lappalainen, J. and Kastrantas, K. 2012. Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL. Hesham, A., Yong, S., Khazanchi, D., Lees, M., van Albada, G., Dongarra, J. and Sloot, P. (ed.) ICCS 2012. Omaha, Nebraska 04 - 06 Jun 2012 Elsevier. https://doi.org/10.1016/j.procs.2012.04.171
Promoting international interoperability of research information systems: VIVO and CERIF
Lezcano, L., Joerg, B., Lowe, B. and Corson-Rikert, J. 2013. Promoting international interoperability of research information systems: VIVO and CERIF. Journal of Universal Computer Science. 19 (12), pp. 1854-1867. https://doi.org/10.3217/jucs-019-12-1854
The application of the CERIF data format to Snowball metrics
Clements, A., Joerg, B., Lingjærde, G., Chudlarský, T. and Colledge, L. 2014. The application of the CERIF data format to Snowball metrics. Jeffery, K., Clements, A., de Castro, P. and Luzi, D. (ed.) CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.047
Combining VIVO and Google Scholar data as sources for CERIF linked data: a case in the agricultural domain
Nogales, A., Sicilia, M. and Joerg, B. 2014. Combining VIVO and Google Scholar data as sources for CERIF linked data: a case in the agricultural domain. Jeffrey, K., Clements, A., de Castro, P. and Luzi, D. (ed.) CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.042
Realising a Flemish government innovation information portal with business semantics management
Spyns, P., van Grootel, G., Joerg, B. and Christiaens, S. 2010. Realising a Flemish government innovation information portal with business semantics management. Stempfhuber, M. and Thidemann, N. (ed.) CRIS 2010. Aalborg, Denmark Aalborg University Press.
OpenAIRE guidelines for CRIS managers 1.0
Houssos, N., Joerg, B. and Dvořák, J. 2015. OpenAIRE guidelines for CRIS managers 1.0. OpenAIRE. https://doi.org/10.5281/zenodo.17065
Question answering from structured knowledge sources
Frank, A., Krieger, H., Xu, F., Uszkoreit, H., Crysmann, B., Joerg, B. and Schäfer, U. 2007. Question answering from structured knowledge sources. Journal of Applied Logic. 5 (1), pp. 20-48. https://doi.org/10.1016/j.jal.2005.12.006
The data model of the OpenAIRE scientific communication e-infrastructure
Manghi, P., Houssos, N., Mikulicic, M. and Joerg, B. 2012. The data model of the OpenAIRE scientific communication e-infrastructure. Dodero, J., Palomo-Duarte, M. and Karampiperis, P. (ed.) MTSR 2012. Cádiz, Spain 28 - 30 Nov 2012 Springer. https://doi.org/10.1007/978-3-642-35233-1_18
Streamlining the CERIF XML data exchange format: towards CERIF 2.0.
Joerg, B., Dvořák, J. and Vestdam, T. 2012. Streamlining the CERIF XML data exchange format: towards CERIF 2.0. CRIS 2012. Prague, Czech Republic 06 - 09 Jun 2012 euroCRIS. pp. 221-230
Modeling the context of scientific information: Mapping VIVO and CERIF
Lezcano, L., Joerg, B. and Sicilia, M. 2012. Modeling the context of scientific information: Mapping VIVO and CERIF. CAiSE 2012. Gdansk, Poland 25 - 26 Jun 2012 Springer. https://doi.org/10.1007/978-3-642-31069-0_11
Entities and identities in research information systems
Joerg, B., Höllrigl, T. and Sicilia, M. 2014. Entities and identities in research information systems. CRIS 2012. Prague, Czech Republic 06 - 09 Jun 2012 euroCIRS. pp. 185-194
A multi-level metadata approach for a public sector information data infrastructure
Houssos, N., Joerg, B. and Matthews, B. 2012. A multi-level metadata approach for a public sector information data infrastructure. 11th International Conference on Current Research Information Systems. Prague, Czech Republic 06 - 09 Jun 2012 pp. 19-31
Harmonising and formalising research administration profiles CASRAI / CERIF
Joerg, B., Höllrigl, T. and Baker, D. 2014. Harmonising and formalising research administration profiles CASRAI / CERIF. Jeffery, K., Clements, A., de Castro, P. and Luzi, D. (ed.) CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.016
From open data to data-intensive science through CERIF
Jeffery, K., Asserson, A., Houssos, N., Brasse, V. and Joerg, B. 2014. From open data to data-intensive science through CERIF. Jeffery, K., Clements, A., de Castro, P. and Luzi, D. (ed.) CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.032
Harmonising Research Reporting in the UK - Experiences and Outputs from UKRISS
Joerg, B., Waddington, S., Jones, R. and Trowell, S. 2014. Harmonising Research Reporting in the UK - Experiences and Outputs from UKRISS. CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.034
OpenAIRE guidelines for CRIS managers: supporting interoperability of open research information through established standards
Houssos, N., Joerg, B., Dvořák, J., Príncipe, P., Rodrigues, E., Manghi, P. and Elbæk, M. 2014. OpenAIRE guidelines for CRIS managers: supporting interoperability of open research information through established standards. Procedia Computer Science. 33 (2014), pp. 33-38. https://doi.org/10.1016/j.procs.2014.06.006
Connecting closed world research information systems through the linked open data web
Joerg, B., Ruiz-Rube, I., Sicilia, M., Dvořák, J., Jeffery, K., Höllrigl, T., Rasmussen, H., Engfer, A., Vestdam, T. and Barriocanal, E. 2012. Connecting closed world research information systems through the linked open data web. International Journal of Software Engineering and Knowledge Engineering. 22 (03), pp. 345-364. https://doi.org/10.1142/S0218194012400074