Object-relational data modelling for informetric databases Export

@article{yu08objectrelational, abstract = {Informetric researchers have long chafed at the limitations of bibliographic databases for their analyses, without being able to visualize or develop real solutions to the problem. This paper describes a solution developed to provide for the specialist needs of informetric researchers. In a collaborative exercise between the fields of computer science and informetrics, data modelling was used in order to address the requirements of complex and dynamic informetric data. This paper reports on this modelling experience with its aim of building an object-relational database (ORDB) for informetric research purposes. The paper argues that ORM (object-relational model) is particularly suitable because it allows for the modelling of complex data and accommodates the various data source formats and standards used by a variety of bibliographic databases. Further, ORM captures the dynamic nature of informetric data by allowing user-defined data types and by embedding basic statistical calculating tools as object functions in these user-defined data types. The main ideas of the paper are implemented in an Oracle database management system.}, author = {Yu, Hairong and Davis, Mari and Wilson, Concepci\'{o}n S. and Cole, Fletcher T.}, citeulike-article-id = {3210286}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.joi.2008.06.001}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B83WV-4T137SS-2/2/457da79f445c95c1a182b6fcfe50643c}, doi = {10.1016/j.joi.2008.06.001}, journal = {Journal of Informetrics}, keywords = {data-modelling, database, informetrics, relational-database}, month = {July}, number = {3}, pages = {240--251}, posted-at = {2008-09-09 14:40:55}, priority = {0}, title = {Object-relational data modelling for informetric databases}, url = {http://dx.doi.org/10.1016/j.joi.2008.06.001}, volume = {2}, year = {2008} }

TY - JOUR ID - yu08objectrelational L3 - citeulike-article-id:3210286 N2 - Informetric researchers have long chafed at the limitations of bibliographic databases for their analyses, without being able to visualize or develop real solutions to the problem. This paper describes a solution developed to provide for the specialist needs of informetric researchers. In a collaborative exercise between the fields of computer science and informetrics, data modelling was used in order to address the requirements of complex and dynamic informetric data. This paper reports on this modelling experience with its aim of building an object-relational database (ORDB) for informetric research purposes. The paper argues that ORM (object-relational model) is particularly suitable because it allows for the modelling of complex data and accommodates the various data source formats and standards used by a variety of bibliographic databases. Further, ORM captures the dynamic nature of informetric data by allowing user-defined data types and by embedding basic statistical calculating tools as object functions in these user-defined data types. The main ideas of the paper are implemented in an Oracle database management system. IS - 3 JF - Journal of Informetrics EP - 251 TI - Object-relational data modelling for informetric databases VL - 2 SP - 240 KW - data-modelling KW - database KW - informetrics KW - relational-database AU - Yu, Hairong AU - Davis, Mari AU - Wilson, Concepción AU - Cole, Fletcher PY - 2008/07// UR - http://dx.doi.org/10.1016/j.joi.2008.06.001 ER -