Title :
Dealing with Some Conceptual Data Model Requirements for Biological Domains
Author :
De Macedo, Jose Antonio Femandes ; Porto, Fabio ; Lifschitz, Sérgio ; Picouet, Philippe
Author_Institution :
Sch. of Comput. & Commun. Sci, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne
Abstract :
Knowledge representation in the biological domain suffers from two main difficulties that make it hard to apply traditional conceptual modeling tools: the inherent domain complexity and its constant evolution. The former requires complex types and associations, whereas the latter calls for an expressive language. We list in this paper a set of requirements for conceptual data modeling that should fulfil biologists´ needs. We discuss these requirements by analyzing representation problems using traditional conceptual modeling languages. We claim that the biological domain deserves an ad-hoc modeling approach that would help with activities such as data integration and database design.
Keywords :
biology computing; knowledge representation; sensor fusion; simulation languages; ad-hoc modeling approach; biological domains; conceptual data model requirements; conceptual data modeling; conceptual modeling languages; conceptual modeling tools; data integration; database design; domain complexity; knowledge representation; Bioinformatics; Biological system modeling; Biology computing; Data models; Genomics; Knowledge representation; Laboratories; Object oriented databases; Object oriented modeling; Relational databases;
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location :
Niagara Falls, Ont.
Print_ISBN :
978-0-7695-2847-2
DOI :
10.1109/AINAW.2007.142