Since web documents are not fully structured sources of information and in Internet almost everything, especially in the realm of search, is approximate in nature, it is not possible to utilize the benefits of a domain ontology straight away to extract information from such a document. One way of overcoming this problem is the postulation of a "fuzzy ontology" by adding a value for degree of membership to each term that is imprecise in nature. In this paper, we propose a fuzzy ontology generation framework in which a concept descriptor is represented as a fuzzy relation which encodes the degree of a property value using a fuzzy membership function. The fuzzy ontology framework provides appropriate support for application integration by identifying the most likely location of a particular term in the ontology. The applicability of the fuzzy ontology structure in retrieving and curating information from text documents to answer imprecise queries has been thoroughly experimented.