Research
I do not have a lot of publications yet, but I hope that the ones I have right now are of interest for you. If you have any questions or are interested in commenting my work I will be happy to receive any comments.
Font-Julian, Cristina I.
Descubrimiento y evaluación de recursos web de calidad mediante Patent Link Analysis PhD Thesis
2021.
Abstract | Links | BibTeX | Tags: Cybermetrics, Informetrics, Link Analysis, Patent, United States Patent and Trademark Office online resources, Web Quality, Webmetrics
@phdthesis{Font-Julian2021,
title = {Descubrimiento y evaluación de recursos web de calidad mediante Patent Link Analysis},
author = {Cristina I. Font-Julian},
editor = {Universitat Politècnica de València},
url = {https://crifonju.upv.edu.es/phd-cfont-vdeposito/},
doi = {https://doi.org/10.4995/Thesis/10251/170640},
year = {2021},
date = {2021-06-22},
urldate = {2021-06-22},
abstract = {Patents are legal documents that describe the exact operation of an invention, granting the right of economic exploitation to its owners in exchange for describing the details of the operation of said invention. For a patent to be granted, it must meet three requirements: be novel (not have been previously exhibited or published), comply with the inventive step, and have industrial application. That is why patents are valuable documents, since they contain a large amount of technical information not previously included in another type of document (published or available). Due to the particular characteristics of patents, the resources that they mention, as well as the resources that mention patents, contain links that can be useful and give support to various applications (technological surveillance, development and innovation, Triple-Helix, etc.) by having complementary information, as well as the creation of tools and techniques that allow them to be extracted and analyzed. The proposed method to achieve the objectives that define the thesis is divided into two complementary blocks: Patent Outlink and Patent Inlink, which together make up the Patent Link Analysis technique. To carry out the study, the United States Patent and Trademark Office (USPTO) is selected, collecting all those patents granted between 2008 and 2018 (both included). Once the information to be analyzed has been extracted in each block, there are: 3,133,247 patents, 2,745,973 million links contained in patents, 2,297,366 million linked patent web pages, 17,001 unique web pages linking patents and 990,663 Unique patents linked from web documents. The results of the Patent Outlink analysis show that both the number of patents that contain links (20%) and the number of links contained in patents (median 4-5) is still low, but has grown significantly in recent years and you can expect more use in the future. There is a clear difference in the use of links between areas of knowledge (42% belong to Physics, especially Computing and Calculus), as well as by sections within the documents, explaining the results obtained and the projection of future analyzes. The results of the Patent Inlink analysis identify considerably fewer web domains that link to patents (17,001 vs. 256,724), but there are more links per linking document (the total number of links is similar for both analysis blocks). Likewise, the data shows a high dispersion, with a few domains generating a large number of links. Both blocks show the existence of a high relationship with companies and technological services, with differences related to links to Universities and Governments (more links in Outlink). Finally, it is verified that the proposed model allows in an efficient, effective and replicable way the extraction and analysis of the links contained and directed to patent documents, as well as facilitating the discovery and evaluation of quality web resources. In addition, it is concluded that cybermetrics, through the link analysis technique, provides information of interest for the analysis of quality web resources through the links contained and directed to patent documents. The proposed and validated method allows defining, modeling and characterizing Patent Link Analysis as a subgenre of Link Analysis that can be used for the construction of link intelligence monitoring, evaluation and / or quality systems, among others, through the use of the inbound and outbound links of applicable patent documents universities, research centers, as well as public and private companies.},
howpublished = {Universitat Politècnica de València},
keywords = {Cybermetrics, Informetrics, Link Analysis, Patent, United States Patent and Trademark Office online resources, Web Quality, Webmetrics},
pubstate = {published},
tppubtype = {phdthesis}
}
González-Llinares, Javier; Font-Julian, Cristina I.; Orduña-Malea, Enrique
Universidades en Google: hacia un modelo de análisis multinivel del posicionamiento web académico Journal Article
In: Revista Española De Documentación Científica, vol. 43, no. 2, pp. e260, 2020, ISBN: 1988-4621.
Abstract | Links | BibTeX | Tags: Academic SEO, Cybermetrics, Evaluation Model, Google, Search Engines, Search Engines Optimization, SEO, Universities, Web positioning, Web Visibility, Webometrics
@article{nokey,
title = {Universidades en Google: hacia un modelo de análisis multinivel del posicionamiento web académico},
author = {Javier González-Llinares and Cristina I. Font-Julian and Enrique Orduña-Malea},
doi = {10.3989/redc.2020.2.1691},
isbn = {1988-4621},
year = {2020},
date = {2020-04-17},
urldate = {2020-04-17},
journal = {Revista Española De Documentación Científica},
volume = {43},
number = {2},
pages = {e260},
abstract = {Se propone un modelo de análisis del posicionamiento web de universidades basado en un vocabulario de palabras clave categorizadas según las distintas misiones universitarias, que se aplica a una universidad (Universitat Politècnica de València) para comprobar su idoneidad. A partir de un vocabulario de 164 palabras clave se construyeron 290 consultas web que fueron ejecutadas en Google, recopilando los 20 primeros resultados obtenidos para cada consulta. Los resultados confirman que las universidades obtienen un posicionamiento web variable en función de la dimensión vinculada a la consulta web y que las páginas web vinculadas a la docencia (especialmente Grados) son las que mejor posicionan, incluso para consultas web orientadas a investigación. Con todo, se observa un posicionamiento bajo no sólo para la UPV sino para las universidades públicas presenciales españolas (sólo el 27% del total de resultados en el Top 20 corresponde a alguna de estas universidades). Se concluye que el análisis multinivel es necesario para estudiar el posicionamiento web de las universidades y que el modelo propuesto es viable y escalable. No obstante, se han identificado ciertas limitaciones (dependencia del vocabulario utilizado y alta variabilidad de datos) que deben tenerse en cuenta en el diseño de este tipo de modelos de análisis.},
keywords = {Academic SEO, Cybermetrics, Evaluation Model, Google, Search Engines, Search Engines Optimization, SEO, Universities, Web positioning, Web Visibility, Webometrics},
pubstate = {published},
tppubtype = {article}
}