Construction And Application Of Fuzzy Emotion Ontology Frame

Image retrieval has been a hot topic for a great mount of researchers. Up to the present, there are about four kinds of image retrieve, which are content-based, image semantic-based, feedback-based and knowledge-based. However, no one use the fuzzy theory in the image searching. This paper basically implements it which is applying the concept lattice theory to the image retrieval process of emotional semantics, and the analysis shows that it is feasible.As the image contains a wealth of emotions and is uncertain, it is reasonable that the fuzzy Formal Concept Analysis theory is applied to build the emotion ontology. So that we can get a better search results for the user's emotional retrieve.On the basis of our research group's work and a large number of Chinese and foreign literature, the paper proposes a fuzzy ontology frame of emotion which is based on the standard of MPEG-7.Then, the paper applies the fuzzy concept lattice theory to the construction procedure of emotional ontology library, which is on the basis of the fuzzy affection, and designs a fuzzy emotion concept lattice. And the paper uses the layered emotion contents of VAD/PAD and OCC in the selecting of semantic affection space which can make the user be more satisfied with the final image search results.Finally, the paper presents a semantic image retrieval model on the basis of the previous studies and an experiment is completed to verify the feasibility and effectiveness of the model. And it is also a good attempt to the research of the emotional ontology library.The work we do list as follows:(1) The fuzzy emotion concept lattice by using the Fuzzy Formal Concept Analysis (FFCA) is constructed.The emotion concept lattice is based on the FFCA method. The FFCA method can be very good for the extraction of emotional ontology, and the extracted emotional ontology can also be used for subsequent studies(2) An algorithm of fuzzy emotional mapping rules is designed.This is a matching algorithm that can be used for the fuzzy emotional reasoning. The rules that be extracted by the algorithm are fuzzy and can be used for emotional fuzzy reasoning. Then the emotional mapping rules got by the reasoning process can be used for the subsequent retrieval process of emotion.(3) A fuzzy emotional ontology frame is built based on the relevant standard of MPEG-7 and fuzzy concept lattice.(4) A semantic retrieval model of image is designed on the basis of frame of fuzzy emotional ontology.The model provides the retrieval process in the actual operation and it can be a basis for the design of subsequent program.