caa a22 4500 475799216 CHVBK 20180406123732.0 cr unu---uuuuu 170329e20000301xx s 000 0 eng 10.1023/A:1008731702009 doi (NATIONALLICENCE)springer-10.1023/A:1008731702009 Hacid Mohand-Saïd LuFG TCS, RWTH Aachen, Ahornstraße 55, 52074, Aachen, Germany aut Representing and Reasoning on Conceptual Queries Over Image Databases [Elektronische Daten] [Mohand-Saïd Hacid] The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature & Content Layer, intended to contain image visual features such as contours, shapes, etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature & Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation. As the amount of information contained in the previous layers may be huge and operations performed at the Feature & Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. Kluwer Academic Publishers, 2000 content-based access of images nationallicence image representation nationallicence intelligent information retrieval nationallicence knowledge representation nationallicence image databases nationallicence query containment nationallicence description logics nationallicence intentional reasoning nationallicence Journal of Intelligent Information Systems Kluwer Academic Publishers 14/2-3(2000-03-01), 131-154 0925-9902 14:2-3<131 2000 14 10844 https://doi.org/10.1023/A:1008731702009 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008731702009 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Hacid Mohand-Saïd LuFG TCS, RWTH Aachen, Ahornstraße 55, 52074, Aachen, Germany aut NATIONALLICENCE 773 0- Journal of Intelligent Information Systems Kluwer Academic Publishers 14/2-3(2000-03-01), 131-154 0925-9902 14:2-3<131 2000 14 10844 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer