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This paper investigates the need for the development of fuzzy-temporal relational database model (FTRDM) and investigates some important and necessary issues and concepts for the development of such model. This paper highlights the importance of building temporal ontology for database application in the relational environment. The main emphasis is on the conceptual framework and paper presents important contributions made by the researchers in developing temporal relational models and temporal query languages. Most of the real world applications involve imprecise and uncertain data and fuzzy set theory has been extensively used by the researchers for the management of fuzzy (non-crisp) data in relational database environment. We propose the guideline for the representing imprecise and vague information concepts in a conceptual data model. The significant contributions in this area are also explored. Fuzzy data has its own dynamics and time has its own complexity, which leads to fuzzy-temporal or temporal-fuzzy models. This paper presents the methodology and concepts pertaining to the development of fuzzy and fuzzy temporal query language and surveyed the important contributions in this direction.