Eduardo Peis

The moral rights of authors in the age of digital information

In addition to stipulating economic rights, the copyright laws of most nations grant authors a series of “moral rights.” The development of digital information and the new possibilities for information processing and transmission have given added significance to moral rights. This article briefly explains the content and characteristics of moral rights, and assesses the most important aspects of legislation in this area. The basic problems of the digital environment with respect to moral rights are discussed, and some suggestions are made for the international harmonization of rules controlling these rights.

Analyzing the research in Integrative & Complementary Medicine by means of science mapping

OBJECTIVES The research in the Complementary and Alternative Medicine (CAM) field is analyzed according to the journals indexed in ISI Web of Science. Science Mapping Analysis (SMA) is used to provide and overview of the conceptual evolution of the CAM field. METHODS The software SciMAT is used to detect and visualize the hidden themes and their evolution over a consecutive span of years. It combines SMA and performance analysis. Twenty one journals related to CAM were analyzed, in four consecutive periods from 1974 to 2011. RESULTS Strategic diagrams and the thematic evolution of CAM, together with performance indicators (h-index), were obtained. The results show that CAM research has focused on seven main thematic areas: MEDICINAL-PLANTS, CHIROPRACTIC-AND-LOW-BACK-PAIN, ACUPUNCTURE-AND-PAIN, CELL-PROCESSES-AND-DISEASES, LIPID-PEROXIDATION and DIABETES-AND-INSULIN. CONCLUSION The research output could be used by the scientific community to identify thematic areas on which interest is focused.

A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries

The research and scholarly community of users in a digital library presents several characteristics that make necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system prototype that applies two approaches to recommendations in order to provide users valuable information about resources and researchers pertaining to domains that completely (or partially) fit that of interest of the user. As an outlook, we briefly enumerate its main features and elements, and present an operational example, which illustrates the overall system performance. Additionally, the outcomes of a simple evaluation of the prototype are shown.

Evaluating the informative quality of web sites by fuzzy computing with words

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.

A Fuzzy Linguistic Multi-agent Model Based on Semantic Web Technologies and User Profiles

In this paper we define a model of a web multi-agent system that combines the use of Semantic Web technologies (like RDF and OWL languages to describe resources and define ontologies respectively) together with the application of user profiles to carry out its activity. It is designed using fuzzy linguistic techniques which allow dealing with information in a user-friendly way. The system activity is developed in two phases: retrieval phase to gather the documents from the Web, and feedback phase to update the elements used to filter the documents, i.e., user profiles and recommendation values. We focus on the analysis of the feedback phase. With this multi-agent system model the filtering possibilities are increased and, consequently, also the retrieval capabilities on the Web.

A Web-Based Service for the Elicitation of Resources in the Biomedical Domain

In certain domains with a dynamic research activity, such as that of Biomedical Sciences, it is necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system that applies Semantic Web technologies and Fuzzy Linguistic Modeling techniques in order to provide users valuable information about resources that fit their interests. The main features and elements of the system are enumerated in this paper, and an operational example (which illustrates the overall system performance) is presented. Furthermore, the outcomes of a simple system evaluation are shown.

A Web-Based Fuzzy Linguistic Tool to Filter Information in a Biomedical Domain

In Biomedical Sciences is necessary the development of new services capable of satisfying specific information needs. In this paper we present a filtering system that applies Semantic Web technologies and Fuzzy Linguistic Modeling techniques in order to provide users valuable information about resources that fit their interests. The main features and elements of the system are enumerated in this paper, and an operational example (which illustrates the overall system performance) is presented. Furthermore, the outcomes of a simple system evaluation are shown

Encoded archival description (EAD) conversion: a methodological proposal

The eventual adaptation of archives to new technological possibilities could begin with the creation of digital versions of archival finding aids, which would allow the international diffusion of descriptive information. The Standard Generalized Markup Language (SGML), document type definition (DTD) for archival description known as encoded archival description (EAD) is an appropriate tool for this purpose. Presents a methodological strategy that begins with an analysis of EAD and the informational object to be marked up, allowing the semiautomatic creation of a digital version.