Semantic Web for Reliable Citation Analysis in Scholarly Publishing, by Ruben Tous, Manel Guerrero, and Jaime Delgado

Analysis of the impact of scholarly artifacts is constrained by current unreliable practices in cross-referencing, citation discovering, and citation indexing and analysis, which have not kept pace with the technological advances that are occurring in several areas like knowledge management and security. Because citation analysis has become the primary component in scholarly impact factor calculation, and considering the relevance of this metric within both the scholarly publishing value chain and (especially important) the professional curriculum evaluation of scholarly professionals, we defend that current practices need to be revised. This paper describes a reference architecture that aims to provide openness and reliability to the citation-tracking lifecycle. The solution relies on the use of digitally signed semantic metadata in the different stages of the scholarly publishing workflow in such a manner that authors, publishers, repositories, and citation-analysis systems will have access to independent reliable evidences that are resistant to forgery, impersonation, and repudiation. As far as we know, this is the first paper to combine Semantic Web technologies and public-key cryptography to achieve reliable citation analysis in scholarly publishing.

Can Bibliographic Data be Put Directly onto the Semantic Web? by Martha Yee

This paper is a think piece about the possible future of bibliographic control; it provides a brief introduction to the Semantic Web and defines related terms, and it discusses granularity and structure issues and the lack of standards for the efficient display and indexing of bibliographic data. It is also a report on a work in progress—an experiment in building a Resource Description Framework (RDF) model of more FRBRized cataloging rules than those about to be introduced to the library community (Resource Description and Access) and in creating an RDF data model for the rules. I am now in the process of trying to model my cataloging rules in the form of an RDF model, which can also be inspected at http://myee.bol.ucla.edu/. In the process of doing this, I have discovered a number of areas in which I am not sure that RDF is sophisticated enough yet to deal with our data. This article is an attempt to identify some of those areas and explore whether or not the problems I have encountered are soluble—in other words, whether or not our data might be able to live on the Semantic Web. In this paper, I am focusing on raising the questions about the suitability of RDF to our data that have come up in the course of my work.

[Note: (8/20/2009) Commentary by Karen Coyle on this article, and additional discussion, may be found at http://futurelib.pbworks.com/YeeRDF.]

A Semantic Model of Selective Dissemination of Information for Digital Libraries, by J. M. Morales-del-Castillo, et al

Abstract:
In this paper we present the theoretical and methodological foundations for the development of a multi-agent Selective Dissemination of Information (SDI) service model that applies Semantic Web technologies for specialized digital libraries. These technologies make possible achieving more efficient information management, improving agent–user communication processes, and facilitating accurate access to relevant resources. Other tools used are fuzzy linguistic modelling techniques (which make possible easing the interaction between users and system) and natural language processing (NLP) techniques for semiautomatic thesaurus generation. Also, RSS feeds are used as “current awareness bulletins” to generate personalized bibliographic alerts.