DBD - Comunicaciones Congresos, Conferencias, ...
https://hdl.handle.net/10481/2673
2024-03-28T09:07:25ZSPECIAL TRACK: Present and future of research metadata: where do we want to go from here?
https://hdl.handle.net/10481/73116
SPECIAL TRACK: Present and future of research metadata: where do we want to go from here?
Martín Martín, Alberto; Vargas Quesada, Benjamín; Chinchilla-Rodríguez, Zaida; Cobo, Manuel Jesús
To steer the scientific system towards specific goals, it is first necessary to develop an effective understanding of all phases and aspects of the research workflow. Research metadata, as the collective record of traces that are generated when scientific activities take place, serves as evidence of these activities. Therefore, the availability of authoritative research metadata is essential for science-related decision-making at various levels.
In the past, large-scale research metadata collections mostly dealt with items in the public record, such as bibliographic metadata about academic publications. There used to be few of these large-scale metadata collections, and they were often provided by commercial actors, those which invested the necessary resources to compile and process disperse public information with the goal of turning it into usable services.
As the capabilities of available technologies increase, each day more sectors of the scientific system are becoming aware of how their activities could benefit from updating their workflows, a process often referred to as digital transformation. Thus, a plethora of tools and standards are being developed to streamline processes, increase interoperability, and in general overcome the limitations of the paper era. This is having a large effect in the quantity and quality of research metadata that is now being recorded.
A clear example of the above is the case of bibliographic metadata. Currently, an increasing number of organizations, spurred by the decreasing barriers to collecting and processing large amounts of bibliographic metadata, are already providing services and datasets that rival the offerings of the traditional commercial providers. Some of these new datasets, provided under open licenses that allow unrestricted reuse and redistribution, have boosted innovation by allowing the development of downstream applications that rely on these metadata collections.
However, as scientific activities in general and scientific communication in particular are increasingly moving to the digital space, traditional bibliographic metadata is no longer the only kind of research metadata that is being collected and processed at a large scale to inform decisions. Social network platforms now capture a portion of academic-related conversations and other kinds of interactions. Processes such as peer review that were previously carried out behind closed doors are now being opened, generating their own public trace. Publishing platforms are implementing increasingly sophisticated methods to track and mine user actions for their benefit.
All these recent developments call for a discussion on the role of research metadata in the scientific system going forward. This discussion should be open to a large variety of stakeholders, including data providers, scientometricians, academic librarians, higher education institutions, policy managers, and developers of downstream applications.
The topics of the contributions to this special track can include:
• Analyses of the suitability of research metadata sources for specific use cases
• Sustainability and governance of research metadata
• Innovations in research metadata
• Downstream applications of open research metadata
• Surveillance through research metadata
Contributions to this special track would be open to everyone interested and peer-reviewed. The format of the session would be 15-20 minutes per presentation, with time for questions after each presentation.
On evaluation of XML documents using fuzzy linguistic techniques
https://hdl.handle.net/10481/1211
On evaluation of XML documents using fuzzy linguistic techniques
Peis Redondo, Eduardo; Herrera Viedma, Enrique; Herrera, J.C.
Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy evaluation method of XML documents based on computing with words is presented. Given an XML document type (e.g. scientific article), we consider that its elements are not equally informative. This is indicated by the use of a DTD and defining linguistic importance attributes to the more meaningful elements of the DTD designed. Then, the evaluation method generates linguistic recommendations from linguistic evaluation judgements provided by different recommenders on meaningful elements of DTD.
An IRS based on multi-granular linguistic information
https://hdl.handle.net/10481/1210
An IRS based on multi-granular linguistic information
Cordón García, Óscar; Herrera Viedma, Enrique; Luque, M.; Herrera, J.C.
An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed on a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S". The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction
Evaluating the informative quality of web documents using fuzzy linguistic techniques
https://hdl.handle.net/10481/1208
Evaluating the informative quality of web documents using fuzzy linguistic techniques
Peis Redondo, Eduardo; Herrera Viedma, Enrique; Anaya, K.; Herrera, J.C.
Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of Web documents is presented to generate recommendations. Given an XML document type (e.g. scientific article), we consider that its components are not equally informative. This is indicated by defining linguistic importance attributes to the more meaningful elements of the XML Schema designed for Web documents. The evaluation method generates linguistic recommendations according to linguistic evaluation judgements provided by different recommenders on meaningful elements.
Evaluating the informative quality of web sites by fuzzy computing with words
https://hdl.handle.net/10481/1207
Evaluating the informative quality of web sites by fuzzy computing with words
Peis Redondo, Eduardo; Herrera Viedma, Enrique; Olvera Lobo, María Dolores; Herrera, J.C.; Hassan-Montero, Yusef
In this paper we present a method based on fuzzy computing with words to measure the informative quality of Web sites used to publish information stored in XML documents. This method generates linguistic recommendations on the informative quality of Web sites. This method is made up of both an evaluation scheme to analyze the informative quality of such Web sites and a generation method of linguistic recommendations. The evaluation scheme presents both technical criteria of Web site design and criteria related to the content of information
of Web sites. It is oriented to the user because the chosen criteria are user friendly, in such a way that visitors to a Web site can assess them by means of linguistic evaluation judgements. The generation method generates linguistic recommendations of Web sites based on those linguistic
evaluation judgements using the LOWA and LWA operators. Then, when a user looks for information on the Web we can help him/her with both recommendations on Web sites which store the retrieved documents and also recommendations on other Web sites which store other documents of interest related to his/her information needs. With this proposal information filtering and evaluation possibilities on the Web are increased.