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Объектно-атрибутная модель представления пространственно-временных отношений между объектами
The research goal was initially to develop a network (graph) database (DB) of wide applicability for representing the meaning obtained from a text in a natural language (general DB). Since the meaning descriptions of the physical world are often encountered in texts, it was required to separate the DB part (named the physical DB) intended to describe the spatio-temporal and cause-effect relationships between objects. The article draws attention to this part of DB because it can be used not only in NLP but also in many other areas: automatic systems of mobile technical objects for orientation in space, virtual reality, etc. The physical DB describes the physical world from the standpoint of subjective perception by a person or a technical object. The object-attribute approach to the data structure underlies the general and physical DB. An organization principle and a rigid format were developed for the general DB, and the information search technology and a principle for obtaining new information on the basis of the already existing information are additionally developed for the physical DB. The physical DB can describe practically all possible characteristics of objects and relations between objects in the real world: relative position of objects, direction, shapes and dimensions of objects, metrics, relationships between cause and effect. The real world perception subjectivity is ensured by the application of the theory of fuzzy sets and linguistic variables.
The research goal was initially to develop a network (graph) database (DB) of wide applicability for representing the meaning obtained from a text in a natural language (general DB). Since the meaning descriptions of the physical world are often encountered in texts, it was required to separate the DB part (named the physical DB) intended to describe the spatio-temporal and cause-effect relationships between objects. The article draws attention to this part of DB because it can be used not only in NLP but also in many other areas: automatic systems of mobile technical objects for orientation in space, virtual reality, etc. The physical DB describes the physical world from the standpoint of subjective perception by a person or a technical object. The object-attribute approach to the data structure underlies the general and physical DB. An organization principle and a rigid format were developed for the general DB, and the information search technology and a principle for obtaining new information on the basis of the already existing information are additionally developed for the physical DB. The physical DB can describe practically all possible characteristics of objects and relations between objects in the real world: relative position of objects, direction, shapes and dimensions of objects, metrics, relationships between cause and effect. The real world perception subjectivity is ensured by the application of the theory of fuzzy sets and linguistic variables.