30 results about "Knowledge organisation" patented technology

The invention discloses a medicine knowledge base system based on data excavation in the technical field of data excavation; the system comprises a domain knowledge base indexing layer; the domain knowledge base indexing layer is connected with a user interface display layer through serial port communication; a result output unit is electrically output and connected to the user interface to display; the knowledge base system supporting the data excavation is clear in organization level, and can manage many types of domain knowledge; through effective knowledge acquiring method and technology, the knowledge and experience of experts in medicine domain can be acquired; the medicine domain knowledge base is structured in the knowledge engineering and easy to operate and use; the expert system is applied to make it possess of a framework with separated knowledge and control procedure, and is featured by elasticity and easy expansion and maintenance; the good man-machine interactive interface can be applied to every intensive knowledge link in the whole automatic system, so as to assist people's brain to make decisions.

A method of facilitating calculations of the changes in three mutually dependent variables, in which an initial condition of all the variables is represented by a triangle, calculated changes are then displayed by modifying the triangle, and the modified form of the triangle then provides a new basis for further calculations.

The invention provides a method and device for constructing a knowledge graph for crop variety management. The method includes: constructing a field ontology for crop variety management according to a subject word dictionary for crop variety management; acquiring corresponding crop variety management data according to the field ontology, and Knowledge extraction is performed on the variety management data; the extracted knowledge is represented by triples, and a composite index is established; the triples are expanded through knowledge reasoning; according to user interest characteristics, user input behavior characteristics and browsing behavior characteristics, The compound index searches the triplet data set, and generates a different knowledge graph data display interface for each user. The method reduces the degree of manual participation in the process of knowledge graph construction, improves the level of automated construction, helps to solve the problems of low efficiency, low degree of automation, and poor scalability in the construction of knowledge graphs for crop variety management, and provides intuitive and convenient knowledge organization, management and presentation.

The present invention solves the problem that an integrated retrieval platform cannot take account of both configuration flexibility and integrating depth, so that the openness of the integrated platform and the integrating degree of resources are difficult to meet user requirements, and provides a heterogeneous database integrating method based on configurable templates. The method comprises the steps of: 1, inputting basic information of data sources to be integrated, newly creating knowledge templates, configuring incidence relation of each field in the data sources, and forming new knowledge organization structures; 2, matching attribute types for each field in the newly created knowledge templates so as to form a showing interfaces of the knowledge templates; and 3, carrying out cross-database retrieval on an index table of each knowledge template, returning a retrieval list, carrying out depth retrieval, on the basis of click of a user and according to the organization structure of the knowledge template to which entries belong, and expressing details by using the appertaining knowledge template as a carrier.

The invention provides a knowledge network oriented to autonomous service, and a construction method thereof. The network is a knowledge network based on a flat structure. The network processes data collected by sensor nodes of an underlying network by constructing unified middle layer elements, and provides API interfaces for upper layer service to access; the middle layer elements are used for inquiring and accessing the sensor nodes based on a regional mode, and collecting data; the middle layer elements form reticular or annular structures which are on the same plane through logical connection; the upper layer application service only needs to access a certain element in the middle layer to obtain required information. The middle layer elements belong to a knowledge organization management layer which is composed of a plurality of KMC elements intercommunicated for knowledge exchange; the KMC elements are entities containing knowledge; the upper layer application service accesses the KMC elements exclusively connected with the KMC elements by calling the API interfaces; meanwhile, the KMC elements are connected with the corresponding KMC elements according to different knowledge requirements.

The invention discloses a sci-tech expert information aggregation method based on a semantic relation of knowledge organization, and relates to the technical fields of information science and knowledge engineering. The method provided by the invention has the advantages that the semantic aggregation, automatic discovery and dynamic updating of expert information are realized in a semantic relation framework of knowledge organization tools by semantically associating expert information with the knowledge organization tools, and the selection requirements for expert academic authority, professional correlation, research activity, dynamic update and peer avoidance are met, so that the experts can be selected more objectively and accurately.

The invention provides a method and device for constructing a professional database. The method includes: creating a target professional database; adding a neighborhood ontology corresponding to the target professional database to the target professional database as a knowledge organization system of the target database; acquiring multiple knowledge entries; establishing the relationship between each knowledge entry and the neighborhood ontology The relationship between knowledge elements; the establishment of data indexes of knowledge items and target professional databases. Since the neighborhood ontology can provide more accurate and complete data associations, using the neighborhood ontology as the knowledge organization system of the professional database and establishing the relationship between knowledge entries and the knowledge elements in the neighborhood ontology can make the entire professional database The association relationship of each resource is more complete, the resource content is more comprehensive, and the recommendation and retrieval results are more perfect. And realize the automatic construction of professional database, reduce the construction time.