IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v94y2013i1d10.1007_s11192-012-0733-6.html
   My bibliography  Save this article

Towards the automation of address identification

Author

Listed:
  • Fernanda Morillo

    (Spanish National Research Council (CSIC))

  • Javier Aparicio

    (Spanish National Research Council (CSIC))

  • Borja González-Albo

    (Spanish National Research Council (CSIC))

  • Luz Moreno

    (Spanish National Research Council (CSIC))

Abstract

A new semi-automatic method is presented to standardize or codify addresses, in order to produce bibliometric indicators from bibliographic databases. The hypothesis is that this new method is very trustworthy to normalize authors’ addresses, easy and quick to obtain. As a way to test the method, a set of already hand-coded data is chosen to verify its reliability: 136,821 Spanish documents (2006–2008) downloaded previously from the Web of Science database. Unique addresses from this set were selected to produce a list of keywords representing various institutional sectors. Once the list of terms is obtained, addresses are standardized with this information and the result is compared to the previous hand-coded data. Some tests are done to analyze possible association between both systems (automatic and hand-coding), calculating measures of recall and precision, and some statistical directional and symmetric measures. The outcome shows a good relation between both methods. Although these results are quite general, this overview of institutional sectors is a good way to develop a second approach for the selection of particular centers. This system has some new features because it provides a method based on the previous non-existence of master lists or tables and it has a certain impact on the automation of tasks. The validity of the hypothesis has been proved taking into account not only the statistical measures, but also considering that the obtaining of general and detailed scientific output is less time-consuming and will be even less due to the feedback of these master tables reused for the same kind of data. The same method could be used with any country and/or database creating a new master list taking into account their specific characteristics.

Suggested Citation

  • Fernanda Morillo & Javier Aparicio & Borja González-Albo & Luz Moreno, 2013. "Towards the automation of address identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 207-224, January.
  • Handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0733-6
    DOI: 10.1007/s11192-012-0733-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0733-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-012-0733-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guillermo Jorge‐Botana & José A. León & Ricardo Olmos & Yusef Hassan‐Montero, 2010. "Visualizing polysemy using LSA and the predication algorithm," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1706-1724, August.
    2. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.
    3. Anthony F. J. van Raan, 2005. "Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 133-143, January.
    4. Yong Jiang & Hai-Tao Zheng & Xinmin Wang & Binggan Lu & Kaihua Wu, 2011. "Affiliation disambiguation for constructing semantic digital libraries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1029-1041, June.
    5. Guillermo Jorge-Botana & José A. León & Ricardo Olmos & Yusef Hassan-Montero, 2010. "Visualizing polysemy using LSA and the predication algorithm," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1706-1724, August.
    6. Yong Jiang & Hai‐Tao Zheng & Xinmin Wang & Binggan Lu & Kaihua Wu, 2011. "Affiliation disambiguation for constructing semantic digital libraries," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1029-1041, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fernanda Morillo & Belén Álvarez-Bornstein, 2018. "How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1755-1770, December.
    2. Fernanda Morillo & Ignacio Santabárbara & Javier Aparicio, 2013. "The automatic normalisation challenge: detailed addresses identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 953-966, June.
    3. Shuiqing Huang & Bo Yang & Sulan Yan & Ronald Rousseau, 2014. "Institution name disambiguation for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 823-838, June.
    4. Fernanda Morillo & Preiddy Efrain-Garcia, 2015. "A bibliometric analysis of Technology Centres," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 685-713, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pascal Cuxac & Jean-Charles Lamirel & Valerie Bonvallot, 2013. "Efficient supervised and semi-supervised approaches for affiliations disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 47-58, October.
    2. Shuiqing Huang & Bo Yang & Sulan Yan & Ronald Rousseau, 2014. "Institution name disambiguation for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 823-838, June.
    3. Andrea Ancona & Roy Cerqueti & Gianluca Vagnani, 2023. "A novel methodology to disambiguate organization names: an application to EU Framework Programmes data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4447-4474, August.
    4. Mallig, Nicolai, 2010. "A relational database for bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(4), pages 564-580.
    5. Fernanda Morillo & Ignacio Santabárbara & Javier Aparicio, 2013. "The automatic normalisation challenge: detailed addresses identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 953-966, June.
    6. Mallig, Nicolai, 2010. "A relational database for bibliometric analysis," Discussion Papers "Innovation Systems and Policy Analysis" 22, Fraunhofer Institute for Systems and Innovation Research (ISI).
    7. Maxim Kotsemir & Sergey Shashnov, 2017. "Measuring, analysis and visualization of research capacity of university at the level of departments and staff members," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1659-1689, September.
    8. Yongwen Huang & Jiao Li & Tan Sun & Guojian Xian, 2020. "Institution information specification and correlation based on institutional PIDs and IND tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 381-396, January.
    9. Carmen Galvez & Félix Moya-Anegón, 2007. "Standardizing formats of corporate source data," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 3-26, January.
    10. Zehra Taşkın & Umut Al, 2014. "Standardization problem of author affiliations in citation indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 347-368, January.
    11. Fernanda Morillo & Rodrigo Costas & María Bordons, 2015. "How is credit given to networking centres in their publications? A case study of the Spanish CIBER research structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 923-938, June.
    12. Rabishankar Giri & Sabuj Kumar Chaudhuri, 2021. "Ranking journals through the lens of active visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2189-2208, March.
    13. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    14. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    15. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    16. Daraio, Cinzia & Bonaccorsi, Andrea & Geuna, Aldo & Lepori, Benedetto & Bach, Laurent & Bogetoft, Peter & F. Cardoso, Margarida & Castro-Martinez, Elena & Crespi, Gustavo & de Lucio, Ignacio Fernandez, 2011. "The European university landscape: A micro characterization based on evidence from the Aquameth project," Research Policy, Elsevier, vol. 40(1), pages 148-164, February.
    17. Yu, Hairong & Davis, Mari & Wilson, Concepción S. & Cole, Fletcher T.H., 2008. "Object-relational data modelling for informetric databases," Journal of Informetrics, Elsevier, vol. 2(3), pages 240-251.
    18. Gennaro Guida, 2018. "Italian Economics Departments’ Scientific Research Performance: Comparison between VQR and ASN Methodologies," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(9), pages 182-182, August.
    19. Saisana, Michaela & d'Hombres, Béatrice & Saltelli, Andrea, 2011. "Rickety numbers: Volatility of university rankings and policy implications," Research Policy, Elsevier, vol. 40(1), pages 165-177, February.
    20. Anastasios Zopiatis & Antonis L. Theocharous & Panayiotis Constanti, 2015. "‘The past is prologue to the future’: an introspective view of hospitality and tourism research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1731-1753, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0733-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.