PVAF: an environment for disambiguation of scientific publication venues

Paraizo, Tiago Antônio; Pereira, Denilson Alves

doi:10.1007/s00799-020-00289-1

Cited by 1 publication

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several previous attempts at using ER techniques in the context of bibliographic data, such as the work of de Jesus and Pereira [3], Paraizo and Pereira [12], Pereira et al [13], and the work of Wu et al [17]. Pereira et al [13] set the foundation to deine an authority ile for publication venues in the style of the Virtual International Authority File (VIAF www.viaf.org), while [3] extend the framework by enriching it with data acquired on the web.…”

Section: Entity Resolutionmentioning

confidence: 99%

“…Pereira et al [13] set the foundation to deine an authority ile for publication venues in the style of the Virtual International Authority File (VIAF www.viaf.org), while [3] extend the framework by enriching it with data acquired on the web. Finally, Paraizo and Pereira [12] present the PVAF System that is łA publication venue authority ile stores variants of the names of journals and conferences that publish scientiic articlesž.…”

Section: Entity Resolutionmentioning

confidence: 99%

See 1 more Smart Citation

Which Conference Is That? A Case Study in Computer Science

Demetrescu

Finocchi

Ribichini

et al. 2022

J. Data and Information Quality

View full text Add to dashboard Cite

Conferences play a major role in some disciplines such as computer science and are often used in research quality evaluation exercises. Differently from journals and books, for which ISSN and ISBN codes provide unambiguous keys, recognizing the conference series in which a paper was published is a rather complex endeavor: there is no unique code assigned to conferences and the way their names are written may greatly vary across years and catalogs. In this article, we propose a technique for the entity resolution of conferences based on the analysis of different semantic parts of their names. We present the results of an investigation of our technique on a dataset of 42395 distinct computer science conference names excerpted from the DBLP computer science repository 1 , which we automatically link to different authority files. With suitable data cleaning, the precision of our record linkage algorithm can be as high as 94%. A comparison with results obtainable using state-of-the-art general-purpose record linkage algorithms rounds off the paper, showing that our ad hoc solution largely outperforms them in terms of the quality of the results.

show abstract