48 results about "Entity relationship modelling" patented technology

An entity-relationship modelling system for modelling a multi-dimensional data source in an entity-relationship model is provided. The entity-relationship system comprises an import module for performing translations on multi-dimensional data, a translation module for translating multi-dimensional data into an entity-relationship schema, and a repository for storing the entity-relationship schema.

An invention for generating standard description records from multimedia information. The invention utilizes fundamental entity-relation models for the Generic AV DS that classify the entities, the entity attributes, and the relationships in relevant types to describe visual data. It also involves classification of entity attributes into syntactic and semantic attributes. Syntactic attributes can be categorized into different levels: type / technique, global distribution, local structure, and global composition. Semantic attributes can be likewise discretely categorized: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further classifies entity relationships into syntactic / semantic categories. Syntactic relationship categories include spatial, temporal, and visual categories. Semantic relationship categories include lexical and predicative categories. Spatial and temporal relationships can be topological or directional; visual relationships can be global, local, or composition; lexical relationships can be synonymy, antonymy, hyponymy / hypernymy, or meronymy / holonymy; and predicative relationships can be actions (events) or states.

A method of translating a relational database into an XML document comprises generating an Extended Entity Relationship model from relational schema associated with the relational database and applying a schema translation process to the Extended Entity Relationship model to map the relational schema into a Document Type Definition (DTD) of an XML schema. An XML Tree Model is then generated from the Document Type Definition, the XML Tree Model being representative of one or more data semantics of the relational schema which are preserved as one or more data semantics in the XML document. Relational data from the relational database is then converted into the XML document using the relational schema and the XML schema from the Document Type Definition and / or the XML Tree Model. There is also described a method of translating an XML database into a relational database which comprises the reversal of the steps of the aforementioned method, and a system for implementing both methods.

A method of data analysis is enabled by receiving raw data records extracted from one or more data sources, and then generating from the data records an entity-relationship model. The entity-relationship model comprises more entity instances, and one or more relationships between those entity instances. Data analysis of the model is facilitated using one or more provenance links. A provenance link associates raw data records and one or more entity instances. Using a visual explorer that displays a set of entity instances and relationships from a selected entity-relationship model, a user can display details for an entity instance, and see relationships between and among entity instances. By virtue of the underlying linkage provided by the provenance links, the user can also display source records for an entity instance, and display entity instances for a source record. The technique facilitates Big Data analytics.

A method and apparatus are disclosed for managing a firewall. The disclosed firewall manager facilitates the generation of a security policy for a particular network environment, and automatically generates the firewall-specific configuration files from the security policy simultaneously for multiple gateways. The security policy is separated from the vendor-specific rule syntax and semantics and from the actual network topology. Thus, the security administrator can focus on designing an appropriate policy without worrying about firewall rule complexity, rule ordering, and other low-level configuration issues. In addition, the administrator can maintain a consistent policy in the presence of intranet topology changes. The disclosed firewall manager utilizes a model definition language (MDL) and an associated parser to produce an entity relationship model. A model compiler translates the entity-relationship model into the appropriate firewall configuration files. The entity-relationship model provides a framework for representing both the firewall-independent security policy, and the network topology. The security policy is expressed in terms of “roles,” which are used to define network capabilities of sending and receiving services. A role may be assumed by different hosts or host-groups in the network. A visualization and debugging tool is provided to transform the firewall-specific configuration files into a graphical representation of the current policy on the actual topology, allowing the viability of a chosen policy to be evaluated. A role-group may be closed to prevent the inheritance of roles.

The present invention relates to a method and system for electronic management of data, which can be represented in a directed graph according to an entity relationship model. Any entity relationship model compliant data pool, and particular a (web) catalog is structured by grouping catalog pages (nodes) into groups (node types) with similar properties like attributes and relationships. Catalog nodes are identified by the node type name and a node instance name that is unique for a given node type. The node type definition is advantageously enabled to be business-driven. A prior art entity relationship diagram describes the structure of the catalog by defining the node types, the node attributes and the possible relationships, and optionally access control information. The catalog structure is stored in the database in a separate set of structure tables. This set of tables is used by the inventive, generic catalog maintenance tool to customize itself by validating the user input using the structure definition stored in said structure tables.

The invention provides an information browsing and retrieval method based on a semantic entity-relationship model and visualized recommendation, comprising the following steps: first collecting data from the internet at regular time, then extracting the semantic entity and relationship, converting the obtained data into the original semantic entity-relationship model Dr and adding the original semantic entity-relationship model Dr into a historical database after time delay, generating a user knowledge model KU presenting the known knowledge of the user after the data in the historical database and a learning / forgetting curve of the user are subjected to convolution and using the user knowledge model KU to predict the data in the original semantic entity-relationship model Dr. The method has the following advantages: 1. the users can check the information which the users are interested in; 2. relatively reasonable recommendation can be obtained without any input; 3. both the written information and the multimedia information such as videos, images and the like can be inquired, and cross-media inquiry is also available; and 4. the unstructured information can be checked intuitively.

Systems and methods consistent with the invention may include generating, via a processor, an entity relationship model to indicate a plurality of types of relationships between the entities, determining relationships between the database tables corresponding to the entities by using the entity relationship model, wherein the database tables are stored in a computer memory device, generating a graph based on the entity relationship model, generating sets of database elements representing the entities and corresponding data objects stored in the database tables, wherein the element sets are generated based on the generated graph, assigning ordering numbers to the database element sets and database elements included in the database element sets and executing the query transaction by using the data objects in an order based on the ordering numbers.

A method and apparatus are disclosed for managing a firewall. The disclosed firewall manager facilitates the generation of a security policy for a particular network environment, and automatically generates the firewall-specific configuration files from the security policy simultaneously for multiple gateways. The security policy is separated from the vendor-specific rule syntax and semantics and from the actual network topology. Thus, the security administrator can focus on designing an appropriate policy without worrying about firewall rule complexity, rule ordering, and other low-level configuration issues. In addition, the administrator can maintain a consistent policy in the presence of intranet topology changes. The disclosed firewall manager utilizes a model definition language (MDL) and an associated parser to produce an entity relationship model. A model compiler translates the entity-relationship model into the appropriate firewall configuration files. The entity-relationship model provides a framework for representing both the firewall-independent security policy, and the network topology. The security policy is expressed in terms of “roles,” which are used to define network capabilities of sending and receiving services. A role may be assumed by different hosts or host-groups in the network. A visualization and debugging tool is provided to transform the firewall-specific configuration files into a graphical representation of the current policy on the actual topology, allowing the viability of a chosen policy to be evaluated. A role-group may be closed to prevent the inheritance of roles.

A graphical user interface and method of use thereof that allows users to interact with an entity relationship model. The user interface includes zones that allow users to navigate among the entities, roles and fields to create queries that are run against the model. Clicking on an entity in the shows the available fields for the entity. Users can drag and drop entities and fields onto a design surface to quickly and easily build queries. Rules are applied when either an entity or a field is dropped onto the design surface based upon the item being dropped (either an entity or a field), the position of the drop and also the properties that are associated with the item. Entities may be grouped and filtered to sort and limit the results of the query. After query is run, the results may be displayed in a separate area to the user.

A system for management of recruitment data may include (a) an interface for receiving and providing over a wide area computer network data regarding job openings and data regarding candidates to be matched to such job openings; (b) a database for storing the data regarding job openings and the data regarding the candidates, the database being organized according to one or more entity-relationship models; and (c) a computing hardware platform for executing a processing engine that is machine-learned from the data regarding job openings and the data regarding candidates, wherein the processing engine (a) creates the entity-relationship models over time; (b) manages the interface to receive the data regarding job openings and the data regarding candidates and causing the received data to be stored in the database; (c) matches candidates whose data are currently in the data base to job openings currently in the database; (d) receives historical data regarding actual filling of job openings in the database by candidates in the data base; and (e) refines the entity-relationship models and the matching of current candidates to current job openings based on the historical data.

The invention discloses a social media graph representation model-based social risk event extraction method. The method comprises the following steps of 1) modeling an event by adopting an HCCG model, defining an entity relationship generation rule, describing event attributes, and performing multi-granularity extraction on the event by utilizing word-level and stream-level contexts; 2) performing similarity calculation by utilizing an information quantity ratio of a maximum common subgraph and a minimum common hypergraph according to an HCCG graph of the extracted event; 3) performing incremental clustering on HCCG through context information of social media, and gradually highlighting event elements of news in a clustering process; and 4) performing event judgment through an HCCG model-based clustering result, and judging whether the clustering result is a true event or not. According to the method, dispersed social media information can be effectively collected; intermediate and final event detection results are expressed in a multi-granularity manner visually by using an entity relationship model; and compared with a conventional social media event extraction method, the social media graph representation model-based social risk event extraction method has better generalization application capability and higher accuracy.

The system and method for teaching entity-relationship modeling employ graphical organizer templates to systematically analyze the data storage requirements of an organization. The student is taught to apply the templates in logical order, from recognizing the organization's business rules and constraints on those rules, through classification of entities, the relationships between entities, distributive aspects of the relationships, attributes of the entities, identifying required and optional entities, and the cardinality of the relationships. The templates place the information in a graphical or chart form, which may then be easily translated into the formal symbolism of an entity-relationship diagram.

A method of creating and defining complex functions and / or expressions that may be run against an entity relationship model. An anchor entity serves as a beginning point of the expression and determines what data that will be returned by the user-created expression within the context of a query. When a relationship from any entity is traversed, including the anchor entity, the role name for the target entity is displayed hierarchically beneath the entity it was navigated from. When an entity is selected, the relationships from this entity are shown as possible navigation paths. The user may select one of these paths to navigate and add to the query tree or chose a field from the field list. Entities can be dragged and dropped into a formula area to create the expression. Functions, and mathematical and logical operations can be performed on the entities and fields in creating the expression. The fields and entities can be filtered to refine the results retrieved by the expression.

Data may be modeled as an undirected graph. A set of entities and a set of attributes may be defined. A set of relationships may be defined to represent semantic associations with each association connecting at least two entities. Attributes may be associated with entities rather than with relationships. A hierarchical query language with a set of atomic operations on modeled data may be employed. The modeled data may be displayed on a display unit.

The invention relates to a GPON (Gigabit Passive Optical Network) service management system based on an OMCI (Operation Management Communication Interface) entity relationship model, comprising an entity relationship model analyzing functional module, an entity configuration abstract functional module and a bottom layer application program interface functional module. The entity configuration abstract functional module is connected with the entity relationship model analyzing functional module, the bottom layer application program interface functional module is connected with the entity configuration abstract functional module. By using the GPON service management system with the structure based on the OMCI entity relationship model, because the requirement of the detail of hardware is shielded by the entity configuration abstract functional module, the configuration of the entity relationship model analyzing functional module is not affected by the condition of the hardware of the bottom layer application program interface functional module, the general GPON service management system without binding with a chip based on the OMCI entity relationship model is formed, the maintenance and the modification of the system codes as well as the subsequent transplanting and development are facilitated.

Methods and systems that allow of mapping data stored in a first format to a second format is provided. According to the method a data object to be mapped is identified. The object may have a particular type associated with it and one or more associated properties. A unique identifier can be generated for the based on the type of the first object. According to some embodiments, the unique identifier may contain information that can be used to retrieve the object when it is stored in the first format. One or more of the properties associated with the first can be mapped to a resource associated with the unique identifier and also with a second format. The first object can then be queried using a query language associated with the second format.

A method, system and program product for modeling data as an undirected graph is disclosed. A set of entities and a set of attributes are defined. A set of relationships is defined to represent semantic associations with each association connecting at least two entities. Attributes are associated with entities rather than with relationships. A hierarchical query language with a set of atomic operations on modeled data is employed. The modeled data is displayed on a display unit.

The invention discloses a computer-implemented technical support providing device and method. The device comprises an input processing unit, an entity relationship recognition unit, an iteration matching unit and an output processing unit, wherein the input processing unit is configured to receive input information of a user to obtain relevant texts; the entity relationship recognition unit is configured to recognize a plurality of entities and the relationship among the plurality of entities according to the relevant texts obtained by the input processing unit to structure a plurality of entity relationship models; the iteration matching unit is configured to compare the plurality of entity relationship models with a plurality of technical documents to set probability values for every entity relationship model and every technical document, the entity relationship model matched with more technical documents is provided with a higher probability value, and the technical documents matched with more entity relationship models is provided with a higher probability value; the output processing unit is configured to output the technical documents with the probability values higher than a threshold.

The invention discloses a tree atom model structure and a method for constructing a service model by using the tree atom model structure and relates to the field of computers, in particular to the technical field of data modeling of a computer management information system. The tree atom model structure is a model structure which is different from the conventional entity relationship model; and by using the model structure, data model structures which are established for the same service have consistency, and different data model structures cannot be generated. In the tree atom model structure, attributes are separated from relationships, a minimum attribute set is managed by using atoms, and the relationships are managed by using a tree structure. The tree atom model structure has high modeling consistency and solves the problem of inconsistency caused by description of the data models of the same service by using the entity relationship model.

The invention relates to the technical field of databases, in particular to a method and a system for importing E-R (entity-relationship) model data by utilizing dependency relationships in an E-R model data pattern. The method for importing the E-R model data includes: receiving an exported E-R model data file and the E-R model data pattern; determining a dependency relationship type of each entity in the data file according to the data pattern, wherein the dependency relationship types include at least one of irrelevant type, weakly relevant type or strongly relevant type; according to the determined dependency relationship type, correspondingly importing each entity in the E-R model data file.

The embodiment of the invention discloses a multi-modal electric power knowledge graph construction method and device, equipment and a storage medium, and the method comprises the steps: determining the entity feature vector of each entity involved in the electric power field in the same dimension space based on the multi-modal data of the electric power field; determining neighbor entities of each entity through a preset entity triple, and layering each neighbor entity according to a set rule; on the basis of an entity relationship model formed after layering, combined with each entity feature vector, determining a comprehensive feature vector representing an association relationship between the entities; and based on the comprehensive feature vector, obtaining an electric power knowledge graph representing an association relationship between the entities. According to the technical scheme provided by the embodiment of the invention, the multi-modal data in the electric power field is represented by the unified comprehensive feature vector, and data support is provided for related intelligent application and big data analysis in the electric power field.

Exposes entities that access the data access layer. The present invention provides a method and system for entities of a data access layer. The data access layer follows an entity-relationship model, wherein data is described according to entities and their relationships; wherein, a CRUD interface is provided for entities; The invention includes the following: a) defining a meta-entity, hereinafter referred to as a virtual entity, obtained as a composition of parts of one or more entities; b) describing a virtual entity via a virtual entity descriptor as wherein via a link Connect the hierarchical structure of entities with a parent-child structure; in the virtual entity descriptor, specify which properties to obtain from each entity to form part of the virtual entity; c) provide a CRUD interface on the virtual entity; d) at runtime , the virtual entity is accessed via its CRUD interface, implemented as a set of calls to CRUD methods that access the entities that make up the virtual entity.

The invention discloses an automatic code generation method based on entity annotation, which comprises the following steps of: 1, defining an entity relationship model, and compiling entity class codes and annotations thereof; 2, reading all classes, fields and annotation information of a specified entity class, and generating a data table and fields in a target database; 3, generating server entity mapping, data access, business logic and interface control layer codes according to the basic information of classes and fields; 4, generating a front-end code; and 5, detecting the operation effect. The method has the beneficial effects that a corresponding input control and check codes are automatically generated according to the field type, and common field types such as dates, numbers, enumeration and file types are supported; foreign key field list display is supported, and form foreign key field single-selection and multi-selection input and display are supported; according to entity class metadata information, field grouping and personalized sorting are supported, and automatic generation of simple and complex class form codes is supported.

The invention discloses a commodity recommendation method and system, equipment and a storage medium. The method comprises the steps of: obtaining latest behavior log data generated when a user browses or purchases a commodity; processing the latest behavior log data by adopting a preset preference model group to generate a commodity preference vector of the user; processing the latest behavior log data by adopting a preset entity relationship model to generate a commodity vector; and calculating a recommendation probability of the commodity according to the commodity preference vector and thecommodity vector, and recommending the commodity according to the recommendation probability. With the commodity recommendation method and system, equipment and storage medium of the invention adopted, the problem that a recommendation algorithm adopted by an existing shopping network to recommend commodities to users is inaccurate in recommendation precision and hard to meet actual requirementsof the users is solved, timeliness of recommending the commodities to the users by a recommendation system of the shopping network is higher, commodity recommendation precision is improved, behavior data of browsing and purchasing the commodities by the users can be integrated, and user experience is improved, and therefore, the relationship between commodities is evaluated.

Methods and systems that allow of mapping data stored in a first format to a second format is provided. According to the method a data object to be mapped is identified. The object may have a particular type associated with it and one or more associated properties. A unique identifier can be generated for the based on the type of the first object. According to some embodiments, the unique identifier may contain information that can be used to retrieve the object when it is stored in the first format. One or more of the properties associated with the first can be mapped to a resource associated with the unique identifier and also with a second format. The first object can then be queried using a query language associated with the second format.

A graphical user interface and method of use thereof that allows users to interact with an entity relationship model. The user interface includes zones that allow users to navigate among the entities, roles and fields to create queries that are run against the model. Clicking on an entity in the shows the available fields for the entity. Users can drag and drop entities and fields onto a design surface to quickly and easily build queries. Rules are applied when either an entity or a field is dropped onto the design surface based upon the item being dropped (either an entity or a field), the position of the drop and also the properties that are associated with the item. Entities may be grouped and filtered to sort and limit the results of the query. After query is run, the results may be displayed in a separate area to the user.

The invention relates to the technical field of medical data mining, and provides a medical entity relationship extraction model training method and device, a medical entity relationship extraction method and device, a computer storage medium and electronic equipment. The model training method comprises the steps that a training sample set is acquired, and the training sample set comprises a label training sample set and a global label-free training sample set; performing supervised learning training on a preset self-attention model according to the labeled training sample set to obtain an initial self-attention model; and based on the global unlabeled training sample set, updating a reliable training sample set, and when the number of unlabeled sample data in the unlabeled training sample set meets a preset condition, determining a target self-attention model for medical entity relationship model extraction based on the currently updated reliable sample training set. According to the scheme, based on the idea of semi-supervised learning, the training efficiency of the medical entity relationship model and the extraction efficiency of the medical entity relationship can be improved.

An entity relationship model transformation method for managing an ONU comprises the steps that a circuit template module is utilized for judging the data mapping mode; when data are mapped into a minimum service bearing unit of the access node connector end only through priority, a second entity relationship model or a fourth entity relationship model is built; when the data are mapped into the minimum service bearing unit of the access node connector end only through the virtual local area network, a first entity relationship model or a third entity relationship model or a sixth entity relationship model is built; when data are mapped into the minimum service bearing unit of the access node connector end through two layers of filtering of the virtual local area network and the priority, a fifth entity relationship model or a seventh entity relationship model is built. A new data mapping relationship can be issued when scene demands change, and reconfiguration of an ONU service model is achieved.

The invention discloses an online course recommendation method, which comprises the following steps: establishing entity relation models of courses respectively about students, schools and teachers by taking the courses, the students, the schools and the teachers as nodes in advance; according to the established entity relationship model, obtaining course association node information associated with a target student of the course to be recommended; calculating a multi-hop information propagation vector of the target student and each course association node, and taking the multi-hop information propagation vector as a representation vector of the target student and the course association node; according to the representation vector of the target student and the representation vector of each course association node, completing course recommendation for the target student. The invention can comprehensively consider the curriculums recommended to the students by utilizing the entity relationships between the curriculums and the students, between the curriculums and the schools and between the curriculums and the teachers, can comprehensively utilize the relationships among multiple entities, improves the accuracy of curriculum recommendation, and meanwhile, after each round of recommendation, the system updates the recommendation model by utilizing the feedback of the students, so that the real-time performance of recommendation is ensured.