Towards the automation of address identification

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 first overview of the address at the institutional sector level 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 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 the master tables reused for the same kind of data.

A bibliometric analysis of Technology Centres

“…In this study, 75 TCs (Appendix Table 5) were gathered from different sources (through web pages information and/or through email answers). These centres were identified, in WoS documents, and the Spanish institutional sectors with which they collaborate, using automatic applications that analyse addresses and assign optional codes from various master lists (Morillo et al 2013a, b).…”

ELAD: An Entity Linking Based Affiliation Disambiguation Framework

“…Based on that, they also proposed an approximate string metric that handles acronyms and abbreviations [2]. Morillo et al propose a new semi-automatic method is presented to standardize or codify addresses that need a large number of hand-coded data [14]. Nooj is a new corpus processing system with large-coverage multilingual dictionaries and grammars [19].…”

Visibilidad de los institutos de investigación sanitaria a través de la base de datos Web of Science

“…centros de salud), se considera adecuada para conocer la tendencia de los grupos hospitalarios a incluir el IIS entre sus afiliaciones a . Dado que los hospitales e institutos no están normalizados en las publicaciones y pueden aparecer bajo distintas denominaciones o variantes de nombre, se ha realizado una codificación semi-automática de los lugares de trabajo, seguida de una fase de verificación manual, que permite unificar la producción de las instituciones e identificar de forma adecuada su producción 6 . Se ha calculado la visibilidad de los IIS en 2009-2011, comparándose con la correspondiente al periodo 2013-2015.…”