A decade of Semantic Web research through the lenses of a mixed methods approach. Kirrane, S., Sabou, M., Fernández, J. D., Osborne, F., Robin, C., Buitelaar, P., Motta, E., & Polleres, A. Semantic Web – Interoperability, Usability, Applicability (SWJ), IOS Press, 2019. to appear (accepted for publication)
A decade of Semantic Web research through the lenses of a mixed methods approach [link]Paper  abstract   bibtex   
The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily performed through qualitative, top-down style approaches, that rely on expert knowledge. More recently, data-driven, bottom-up approaches have been proposed that offer a quantitative analysis of the evolution of a research domain. In this paper, we aim to provide a broader and more complete picture of Semantic Web topics and trends by adopting a mixed methods methodology, which allows for the combined use of both qualitative and quantitative approaches. Concretely, we build on a qualitative analysis of the main seminal papers, which adopt a top-down approach, and on quantitative results derived with three bottom-up data-driven approaches (Rexplore, Saffron, PoolParty), on a corpus of Semantic Web papers published between 2006 and 2015. In this process, we both use the latter for ``fact-checking'' on the former and also to derive key findings in relation to the strengths and weaknesses of top-down and bottom up approaches to research topic identification. Although we provide a detailed study on the past decade of Semantic Web research, the findings and the methodology are relevant not only for our community but beyond the area of the Semantic Web to other research fields as well.
@article{kirr-etal-2019SWJ_SWdecade,
 title ={A decade of Semantic Web research through the lenses of a mixed methods approach},
 abstract = {The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily performed through qualitative, top-down style approaches, that rely on expert knowledge. More recently, data-driven, bottom-up approaches have been proposed that offer a quantitative analysis of the evolution of a research domain. In this paper, we aim to provide a broader and more complete picture of Semantic Web topics and trends by adopting a mixed methods methodology, which allows for the combined use of both qualitative and quantitative approaches. Concretely, we build on a qualitative analysis of the main seminal papers, which adopt a top-down approach, and on quantitative results derived with three bottom-up data-driven approaches (Rexplore, Saffron, PoolParty), on a corpus of Semantic Web papers published between 2006 and 2015. In this process, we both use the latter for ``fact-checking'' on the former and also to derive key findings in relation to the strengths and weaknesses of top-down and bottom up approaches to research topic identification. Although we provide a detailed study on the past decade of Semantic Web research, the findings and the methodology are relevant not only for our community but beyond the area of the Semantic Web to other research fields as well.},
  year = 2019,
  Journal = SWJ,
  author = {Sabrina Kirrane and
Marta Sabou and
Javier D. Fern{\'a}ndez and
Francesco Osborne and
Cécile Robin and
Paul Buitelaar and
Enrico Motta and
Axel Polleres},
  Publisher = {IOS Press},
  note = {to appear (accepted for publication)},
  Type = JOURNAL,
  Url = {http://www.semantic-web-journal.net/content/decade-semantic-web-research-through-lenses-mixed-methods-approach-1},
}
Downloads: 0
About
Documentation
Keywords
Search
Users
Terms and Conditions of Use
Privacy Policy
Sitemap
© BibBase.org 2021