The Experts below are selected from a list of 82314 Experts worldwide ranked by ideXlab platform

Ludo Waltman - One of the best experts on this subject based on the ideXlab platform.

Ee-peng Lim - One of the best experts on this subject based on the ideXlab platform.

  • integrated queries to existing Bibliographic and structured Databases
    Journal of Network and Computer Applications, 1997
    Co-Authors: Ee-peng Lim
    Abstract:

    It is widely accepted that future digital library applications have to be built upon different kinds of Database servers to draw upon different forms of Data, including Bibliographic, text, multimedia, and structured Data. In this paper, the problem of integrating existing public Bibliographic Databases and structured Databases which reside at different locations in the network is addressed. Although Bibliographic Data is semistructured, its attribute set is often determined by an international standard known as MARC. To unify Bibliographic and structured Data, the well-known SQL was extended to model Bibliographic related attributes and queries. In particular, a new Data type was added to model attributes in the Bibliographic Database. Specialized functions have also been designed that can be used to formulate queries on Bibliographic Data, as well as queries on both Bibliographic and structured Data. By combining the SQL extensions with other query language extensions that access general text Data, it is believed that a versatile query language layer can be made available for future digital library application development.

  • on integrating existing Bibliographic Databases and structured Databases
    Computer Software and Applications Conference, 1996
    Co-Authors: Ee-peng Lim
    Abstract:

    It is widely accepted that future digital library applications have to be built upon different kinds of Database servers to draw different forms of Data from them. These Data include Bibliographic Data, text Data, multimedia Data, and structured Data. We address the problem of integrating existing Bibliographic and structured Databases which reside at different locations in the network. To integrate Bibliographic Data and structured Data, we extended the well-known SQL model to represent Bibliographic related attributes and queries. In particular, we have added a new Data type to model attributes in the Bibliographic Database. We have also designed specialized predicates and functions that can be used to formulate queries on Bibliographic Data alone as well as queries on both Bibliographic and structured Data. By combining our SQL extensions with the other SQL extensions that model general text Data, we believe that a versatile query language layer can be made available to our future digital library application development.

Martijn S Visser - One of the best experts on this subject based on the ideXlab platform.

Silvia Salini - One of the best experts on this subject based on the ideXlab platform.

  • Ten challenges in modeling Bibliographic Data for bibliometric analysis
    Scientometrics, 2012
    Co-Authors: Alfio Ferrara, Silvia Salini
    Abstract:

    Abstract The complexity and variety of Bibliographic Data is growing, and efforts to define new methodologies and techniques for bibliometric analysis are intensifying. In this complex scenario, one of the most crucial issues is the quality of Data and the capability of bibliometric analysis to cope with multiple Data dimensions. Although the problem of enforcing a multidimensional approach to the analysis and management of Bibliographic Data is not new, a reference design pattern and a specific conceptual model for multidimensional analysis of Bibliographic Data are still missing. In this paper, we discuss ten of the most relevant challenges for bibliometric analysis when dealing with multidimensional Data, and we propose a reference Data model that, according to different goals, can help analysis designers and Bibliographic experts in working with large collections of Bibliographic Data.

Marco Schaerf - One of the best experts on this subject based on the ideXlab platform.

  • Accuracy of author names in Bibliographic Data sources: an Italian case study
    Scientometrics, 2018
    Co-Authors: Camil Demetrescu, Andrea Ribichini, Marco Schaerf
    Abstract:

    We investigate the accuracy of how author names are reported in Bibliographic records excerpted from four prominent sources: WoS , Scopus , PubMed , and CrossRef . We take as a case study 44,549 publications stored in the internal Database of Sapienza University of Rome, one of the largest universities in Europe. While our results indicate generally good accuracy for all Bibliographic Data sources considered, we highlight a number of issues that undermine the accuracy for certain classes of author names, including compound names and names with diacritics, which are common features to Italian and other Western languages.