134 results about "Knowledge services" patented technology

A de-centralized, or distributed, monitoring system provides for data collection across a broad range of remote sources, collecting explicit data (which may be input directly by a user in the form of recommendation, comment, or vote) and / or implicit data (which may be collected by the system according to the user's browsing activity). Data may be monitored locally at the client side, and subsequently transmitted to a central database. Data may be aggregated at the server, having been collected on the client side from multiple remote sources. During the aggregation process, data collected by the distributed monitoring system are categorized and organized in a central database for convenient retrieval. Implementation of the collected data includes both transmitting explicit data on demand as well as utilizing explicit data, implicit data, or a combination of both explicit and implicit data, in an open recommendation system which facilitates customization and personalization of the information retrieval process. A user may be provided with the option of turning off, or “deselecting,” the implicit data collection functionality of the system.

The present invention relates to a knowledge advertising method and a knowledge advertising system, and more particularly, relates to a knowledge advertising method and a knowledge advertising system using a knowledge service which enables users to be provided with knowledge through questions and answers between users.

The invention relates to a historic building conservation technical information management system and a method based on domain knowledge, which aim to solve the problems that electronic data are numerous but knowledge is little in the historic building conservation process. The system comprises six parts: a data management unit, a historic building conservation knowledge base, a historic building conservation database, a historic building conservation knowledge management platform, an outside knowledge service unit, a data index unit and the like. The method comprises the following steps that: a knowledge engineer constructs a historic building conservation domain knowledge base; a historic building conservation worker uploads structured data and unstructured data to the historic building conservation database in different ways according to the domain knowledge classification and manages the data; and historic building conservation knowledge retrieval services based on WebService are provided for the public by adopting a mode of the free combination of elementary knowledge services. The invention can effectively utilize the knowledge of the historic building conservation field to increase the use efficiency of large amount of existing historic building conservation technical relevant data and information, thereby creating generous economic benefits for the industry.

The invention discloses a global dynamic heterogeneous spatial information collaborative plotting and spatial knowledge service system. On the basis of plotting data obtained by a collaborative plotting platform, mass related heterogeneous spatial information of Africa is collected, and a plotting knowledge base is generated through data integration and knowledge reasoning; on the basis of the plotting knowledge base, a knowledge model is built by means of data mining, hot spot image-text association and the like, knowledge services with the text that 'a Chinese is attacked in Africa', and the texts of 'China-Africa international cooperation', 'Africa travel' and the like being themes are carried out, visual representation is performed on hot spot area information by means of hot spot image-text generation, network map diaries and the like, a knowledge base (stored data) is built, finally, the African spatial knowledge service system based on the collaborative plotting technology is achieved, and spatial information active services are provided for the public, the government and associated users.

The invention relates to a knowledge-service-oriented recommendation method. A system prototype comprises four parts: (1) processing and conversion of a domain ontology OWL (Ontology Web Language) file; (2) description and processing of document resources; (3) user-system interaction; and (4) system recommendation preprocessing. Parts (1), (2) and (4) mainly belong to background processing, and the part (3) is foreground use real-time dynamic interaction; and after the domain ontologies OntoAvion is stored in a computer in the mode of the OWL file after being edited by Protege. The recommendation method has the beneficial effect of finishing multiple functions from resource processing and user interaction to visual navigation, and individual recommendation and processing, and has certain originality and advancement.

The invention discloses an intelligent parenting knowledge service method and system. The method comprises the steps of collection of information, wherein latest child disease data information is downloaded and parsed by a crawler program at regular intervals and stored in an mysqul database; construction of an expert robot knowledge library, wherein the construction of the expert robot knowledge library comprises the three steps of disease counseling, disease prediction and doctor recommendation; construction of a personal robot knowledge library, wherein a user constantly inputs individual knowledge to a personal robot, and the personal robot stores the knowledge in the mysql database in a mode that one question corresponds to one answer, and provides process type parenting knowledge services for different users in a knowledge community mode; implementation of system interaction, wherein user interaction is achieved through a PC side and a mobile side. According to the intelligent parenting knowledge service method and system, the problems are solved that existing parenting knowledge service methods cannot completely present the whole process of a pediatric disease from onset, treatment to healing, user-friendly intelligent presentation methods are lacking, and presentation modes are single.

The present invention discloses a construction method of a commodity knowledge graph, which comprises objective commodity classification knowledge construction and subjective user viewpoint knowledge construction of the commodity knowledge graph. The subjective knowledge construction comprises a process of mining viewpoint objects and viewpoint words from user comments by using a method based on multi-classifier integration, and a process of directly obtaining URL information of viewpoint holders, viewpoint express time and / or viewpoints from websites. The objective knowledge construction comprises a process of obtaining commodity classification hierarchies combined with depth and breadth by using a method based on multi-source heterogeneous classification hierarchy fusion, and a process of directly obtaining commodity instances from the websites. The structured knowledge graph constructed for commodities covers the objective commodity classification knowledge and the subjective user viewpoint knowledge, accurate interpretation of the commodity instances can be provided for upper layer service, viewpoint description about the commodities and attributes thereof by multiple users can also be understood, and therefore more rapid, accurate and comprehensive commodity knowledge service is provided for the users.

The invention discloses a device and a method for inquiring knowledge. The device comprises a domain knowledge database, a data extracting preprocessing module, a parallel data mining module, an inquiring engine module and a storage and computing module, the storage and computing module comprises a plurality of parallel storage and computing nodes, the data extracting preprocessing module, the parallel data mining module and the inquiring engine module are respectively connected with the domain knowledge database and the storage and computing module. The concept of KaaS (knowledge as a service) is proposed in the classificatory level of cloud computing services, and concepts analyzed from data sources and mined overall rules are updated into the domain knowledge database so as to provide semantic inquiry and knowledge services to the client side conveniently.

The invention provides a knowledge recommending method and system based on micro blogs. The knowledge recommending method comprises the following steps of establishing a model by a user, collecting micro blogs posted by friends followed by the user at regular time in batches, discovering knowledge items, expanding the knowledge items, and recommending knowledge. The knowledge recommending method and system based on the micro blogs have the advantages that various knowledge items are automatically discovered from the micro blog data posted by the friends followed by the user, expanding explanations of the knowledge items are formed, when the user reads the micro blogs, the knowledge items which are valuable for the user or interest the user and relative expanding explanations are recommended to the user from the discovered knowledge items, the active and customized knowledge service is provided, knowledge search process by the user is avoided, and valuable knowledge is prevented from being neglected.

A de-centralized, or distributed, monitoring system provides for data collection across a broad range of remote sources, collecting explicit data (which may be input directly by a user in the form of recommendation, comment, or vote) and / or implicit data (which may be collected by the system according to the user's browsing activity). Data may be monitored locally at the client side, and subsequently transmitted to a central database. Data may be aggregated at the server, having been collected on the client side from multiple remote sources. During the aggregation process, data collected by the distributed monitoring system are categorized and organized in a central database for convenient retrieval. Implementation of the collected data includes both transmitting explicit data on demand as well as utilizing explicit data, implicit data, or a combination of both explicit and implicit data, in an open recommendation system which facilitates customization and personalization of the information retrieval process. A user may be provided with the option of turning off, or “deselecting,” the implicit data collection functionality of the system.

The invention discloses an information processing method and system for knowledge servers. The method comprises the following steps: obtaining all or part of the knowledge points as a knowledge point set; determining the semantic information of each knowledge point in the knowledge point set; determining a sentence cluster set corresponding to the knowledge points according to semantic information; determining corresponding chapter information according to the sentence cluster set; and determining corresponding digital resources according to the chapter information. According to the method, the semantic information of the knowledge points is comprehensively considered, and the manner of correlating the corresponding knowledges through the keywords input by the users is not used, so that the method more fits the real demands of the users and is capable of correlating the corresponding knowledges mostly fitting the user demands according to the semantic information of the knowledge points, so that the organization of the knowledges in the field in a knowledge point manner is really realized and the user experience is improved.

The invention discloses a knowledge service system and method suitable for the full life cycle of high-end equipment. The method is suitable for a knowledge service platform which is in communicationwith a high-end equipment manufacturing enterprise information system through a knowledge service system interface. Historical data is extracted from the high-end equipment manufacturing enterprise information system or expert experience is obtained from the brains of technical personnel through a semi-automatic acquisition mode based on a complex knowledge resource acquisition template. Full-lifecycle knowledge of the high-end equipment is obtained through a preset knowledge acquisition process. The knowledge obtained in the above steps is stored into a distributed database according to theexpression form of the knowledge, to form a high-end equipment manufacturing enterprise knowledge base. The knowledge service requirements of technicians of a high-end equipment manufacturing enterprise are obtained in an active and passive combined mode. A corresponding knowledge service engine in the multi-mode knowledge service method library is called according to the knowledge service requirements. The knowledge service engine calls full life cycle knowledge of the high-end equipment in the knowledge base and generates needed knowledge service by utilizing an inference algorithm.

The invention relates to an incremental iterative field ontology collaborative constructing method which supports the ontology collaborative development within large scope by a stage incremental iterative process and realizes the unified and ordered incremental evolution of the whole field ontology by the unified collaborative ontology development process control and version management. The method only requires a core expert group comprising a few field experts for controlling the stage evaluation and incremental publishing work of the whole ontology. And the knowledge content construction inan ontology model is completed mainly by field experts who are widely distributed in various regions in collaborating way. The method is applied to the field ontology which is oriented to certain range for supplying public knowledge services. With the method adopted, the wide collaborative field ontology incremental construction can be realized and the ordered evolution and the high quality of the ontology model can be ensured.

The invention discloses a knowledge trading system and method with a knowledge service as a center. The knowledge trading system comprises a service publisher terminal, a service customer terminal and a knowledge trading platform which serves as an intermediate platform of service customers and a service publisher; the knowledge trading platform comprises a server and a database; the service publisher logins the server through the service publisher terminal and sends an information data package with the knowledge service information to the server to submit the knowledge service information; the service customers access the information data package with the knowledge service information and in the server through the service customer terminal to review the knowledge service information; the database is used for storing user data, knowledge service data and trading order data. According to the knowledge trading system and method with the knowledge service as the center, the reasonable knowledge trading method is given according to characteristics of knowledge trading and accordingly rights and interests of both sides are ensured, meanwhile the efficiency of the knowledge trading is promoted, and the normal, fair and efficient knowledge trading is implemented.

The invention introduces ontology into a Camellia sinensis insect pest knowledge expression and sharing model, and provides the Camellia sinensis insect pest knowledge expression and sharing method based on ontology; the method comprises the following steps: firstly obtaining domain knowledge through demand analysis; then using ontology technology and OWL language to solve the domain knowledge effective expressing problem; finally realizing domain knowledge reuse and sharing through a ProtegeAPI interface. The method can realize standard formal expression of the camellia sinensis insect pest domain knowledge, thus improving camellia sinensis insect pest domain knowledge shearing reuse efficiency, providing a more effectively knowledge service platform for camellia sinensis insect pest control and tea grower production decision, and promoting tea production quality and tea industry informatization development for certain level.

The present invention discloses an integrated knowledge cloud service method and system for multi-axial milling of rotor blades, and belongs to the technical field of knowledge services of cloud manufacturing and processing of components of rotor blades. The method comprises the following steps: obtaining knowledge service requirement information of a multi-axial milling process of rotor blades and establishing a knowledge service requirement model; inputting the knowledge service task requirement information; parsing and matching the service task requirement information; establishing a knowledge cloud service process model, and setting the service task related information; and managing the service process, and providing knowledge cloud services for users. The system comprises a human-computer interaction interface, a knowledge cloud library, a task parsing and matching device, and a service flow collaborative activity engine. The method and mode provide knowledge cloud services for the milling process of the rotor blades in the cloud mode, and systematically represent the knowledge resources of the milling process of the rotor blades, so that the utilization rate of knowledge resources and the milling efficiency of the rotor blades are improved.

The invention discloses a knowledge service innovation party driven by a polymorphic knowledge graph. The knowledge service innovation party comprises the following steps: 1) constructing a polymorphic domain knowledge graph; constructing a knowledge model, extracting and storing polymorphic knowledge, and providing a candidate scheme set for knowledge services; and 2) with an enterprise production problem task as a drive, modeling the process of solving the engineering problem of the knowledge service innovation method template from three aspects of a problem solving activity flow, a knowledge flow and a process decision flow by means of a scientific workflow model so as to support and guide the improvement activity of an enterprise in a template application layer. According to the method, a theoretical basis is provided for application of a knowledge service innovation method, and the problems of high subjectivity and high experience dependence in traditional knowledge service application are solved to a certain extent; the multi-knowledge service flexible template can be configured through the method, and a systematic innovative solving thought is provided for enterprises for complex and changeable personalized problems.

The invention discloses a training method of a personalized model of distillation-based semi-supervised federated learning, which adopts a knowledge distillation technology, and a client side can select a self-designed model architecture by uploading model prediction rather than model parameters, so that privacy information of the client side about the model is well protected, and the shared data and the local data of the client are used for training together, so that the generalization ability of the model is greatly improved. In addition, the aggregation scheme can perform dynamic aggregation according to the importance degree of knowledge provided by each client, so that the aggregated model prediction better fuses the model knowledge of the client. And after the server finishes aggregation, the model prediction distribution information of the public data is not the pseudo label information, so that the communication transmission efficiency is further improved by utilizing the mode.

A system for generating crowdsourcing-based image knowledge content, includes an image provision unit configured to provide image data; and an image crowdsourcing unit configured to generate, store, or manage image knowledge in order to provide an image-base knowledge service. Further, the system includes an image acquisition and processing unit configured to connect the image provision unit and the image crowdsourcing unit and actively or automatically provide a crowdsourcing technique.

The invention provides a cloud service-based intelligent greenhouse monitoring system. The system comprises a greenhouse front end, a platform and a user terminal, wherein the greenhouse front end comprises a hard disk camera device connected with a high-definition camera and an Internet of Things information gateway communicating with a Zigbee node and a server; the Zigbee node is in wireless connection with an illumination sensor, a temperature and humidity sensor, a CO2 sensor and the like and an automatic control system; the automatic control system comprises sunshading roll film, draughtfan equipment, irrigation equipment and lighting equipment; the platform comprises a server, a short message server and a cloud service platform, and the cloud service platform comprises a video streaming media platform, an agricultural data management platform, an agricultural knowledge service platform and an expert service platform; and the user terminal comprises a smart phone, a computer, anIPTV and a PAD which can access the cloud service platform. According to the system, by applying the cloud service and Internet of Things technologies, various information of the interior and the exterior of a greenhouse can be remotely acquired in real time, the greenhouse can be remotely controlled by a user, and therefore it is guaranteed that the environment in the greenhouse is suitable forgrowth of crops.

The invention discloses a named data network-oriented knowledge service routing mining method. According to the method, open knowledge in accessible applications and knowledge bases of the Internet range and related objects such as semantic hierarchical naming and attribute information of learners and experts are discovered and mined in edge routers; and routing indexes and routing characteristicsof the knowledge and the related objects thereof are further mined and evaluated in the core router, so that discovery and matching capabilities of knowledge routing are expanded. According to the invention, a user can personalize on the basis of the named data network; the open relevance knowledge and the breadth and depth knowledge in the network range can be efficiently discovered and acquired; experts and groups marked with knowledge in related fields in a social platform are discovered and converged, related knowledge service functions and activities are completed, and finally an open knowledge discovery and personalized knowledge service platform taking the Internet as a boundary is constructed on an emerging Internet architecture.

The invention discloses a product design knowledge service method and device. The method comprises the following steps of: obtaining knowledge demand elements to construct a knowledge demand model; carrying out semantic extension to obtain a primary knowledge demand hierarchical structure with semantics; carrying out modification to generate an ultimate knowledge demand hierarchical structure; matching a semantic space to obtain candidate sematic space units; carrying out analytical reasoning on the basis of an SWRL rule so as to generate a POV network; solving an optimum topological sequence of the POV network so as to form a semantic space of a knowledge service scheme; and configuring associated knowledge resources. The device comprises a construction module, a semantic extension module, a modification module, a matching module, a generation module and sorting and association module. According to the method and device, modeling is carried out on the basis of knowledge demands, SWRL reasoning and a digraph theory are combined to mine logic relation and connotations between knowledges to the greatest extent from semantic level, so that the appreciation of the knowledges is realized and the effectiveness of required knowledge pushing result in the product design process is improved.

The invention relates to a high-speed railway electric service maintenance auxiliary system based on knowledge service, which comprises a server side and a mobile terminal, and is characterized in that the server side comprises a monitoring data access module, a process management module, a track information management module, a knowledge organization module and a resource management module; the mobile terminal comprises a safety protection module, a position information uploading module, a task list management module, a maintenance decision module and an information bidirectional pushing module. According to the invention, different business services such as identity authentication, operation, equipment and knowledge information management are integrated; on the basis of the design idea facing maintenance knowledge, a maintenance knowledge base is established, monitoring data can be analyzed, faults of track circuits, signal machines and other electric service basic devices can be diagnosed, through interaction and pushing with maintenance site information, operation card control of electric service maintenance is achieved, and the informatization level of site maintenance operation is improved.

The invention discloses a person's information knowledge base automatic construction method. The method comprises the steps that a person's information ontology is built and perfected; external dynamic update and reliable data sources are continually captured to be analyzed, and information data related to a person individual in the person's information ontology is recognized by means of person's feature data and categorical data; by means of extracted data, processing is conducted, and person's information is obtained to perfect the person's information ontology; reliable knowledge services are provided by the continually perfected person's information ontology. Existing resources are mainly used, and a person's information knowledge base is built and perfected by the combination of the computer technology and the ontological concept, so that the person's information knowledge services are provided, and accordingly the problems that when information of a public person is retrieved, presented person's information is disorganized, personage news is repeated, and different meanings are generated due to the same personal name are solved.

The invention provides a cloud computation-based knowledge service device and relates to the technical field of computers. The cloud computation-based knowledge service device comprises a WebService module (1), a central database (2), a data synchronization middleware (3), a database (4), a knowledge service module (5), a unified identity authentication module (6) and a cloud management module (7). The cloud computation-based knowledge service device can overcome the defects in the prior art and solves the problems of independence, management difficulty and the like in the conventional knowledge service system. The cloud computation-based knowledge service device can easily perform deep analysis and recombination on data which is established on the basis of cloud computation, can provide the content of knowledge service for users well, and has extremely high operability and practicability.

The invention relates to a standard information and knowledge service system and method for testing institutions. The system comprises a standard resource acquisition module, a standard resource processing module, an index building module, a title management module and a data processing module, wherein the standard resource acquisition module is used for acquiring the image of a standard resource; the standard resource processing module is used for recognizing a text represented by the image to generate a two-layer electronic document of the standard resource, wherein the two-layer electronic document adopts a two-layer structure in which one layer is the image and the other layer is the text; the index building module is used for building an index for the text and storing the index into a preset standard complete text memorizer; the title management module is used for storing the title of the standard resource in a preset standard title memorizer and building an incidence relation between the title and the index; the data processing module is used for acquiring external demands and acquiring data corresponding to the demands from the standard complete text memorizer and the standard title memorizer. The technical scheme provided by the invention ensures that the standard resource can be collected efficiently, information in the standard can be managed, and required content can be extracted accurately for the use of a user according to the demands of the user.

The invention provides a product design knowledge management service mechanism and a matching method. The method includes the following steps that 1, a knowledge service demand side, a knowledge service provider and a knowledge management service platform operator in the product design knowledge management service process are analyzed; 2, the knowledge service features are divided into a knowledge service resource feature attribute and a knowledge service demand feature attribute according to different objects; 3, different interested parties have respective knowledge service contents and service processes; 4, similarity calculation is conducted according to the knowledge service demands of the knowledge service demand side and the service attribute of the knowledge resources provided by the knowledge service provider, then matching is conducted on the service resource, and the matched knowledge resource is supplied to the knowledge service demand side. According to the product design knowledge management service mechanism and the matching method, a multi-objective optimization model is converted to a single-objective optimization model, a bilateral matching result is obtained through solving an optimization model, the satisfaction degree of designers for obtaining knowledge is improved, and the product design efficiency is improved.

The invention provides a queuing transaction system and a queuing transaction method of online knowledge transactions. The queuing transaction system and the queuing transaction method of the online knowledge transactions which are limited in one to one mode and high in transaction efficiency are achieved through a queuing mechanism. The queuing transaction method of the online knowledge transactions includes that users broadcast respective demands and / or knowledge services; each user sends a transaction request to a transaction object according to the demands and / or the knowledge services, broadcasted by the other users; a priority is confirmed and a transaction sorting list is obtained by sorting the transaction requests according to sending time of the transaction requests of the users, and the transaction sorting list of a requested user is correspondingly sent to the requested user and all the users who send the transaction requests; states of each two transaction sides are sequentially detected and judged according to the confirmed priority; the states of each two transaction sides are sequentially detected and judged according to the transaction sorting list of the requested user and the confirmed priority, and then the users are kept in an un-transaction state after all the transactions in the transaction sorting list are completed. The queuing transaction system of the online knowledge transactions comprises a broadcasting module, a transaction request module, a queuing module and a transaction execution module.

The invention discloses a mobile knowledge service system on the basis of an ontology model and specifically relates to the field of knowledge service. The ontology construction platform system framework comprises: a resource layer, an ontology layer, a model technique layer, an application layer, a function layer, and a terminal display layer. The resource layer is used for performing resource arrangement and data abstraction in different fields; the ontology layer is used for performing knowledge integration to the resource on the basis of the ontology to form an ontology knowledge base; the model technique layer is used for designing the ontology model framework, an ontology knowledge base technique, a natural language processing technique, a semantic matching technique, an image mining technique, an internet of things technique, a mobile internet technique, and a personalized information recommendation technique and comprehensive utilization of relative techniques; the application layer is used for extending applications in different fields; the function layer is used for giving different function display to applications in different fields; the terminal display layer is used for displaying on different devices. According to the system, relative resources are organized according to the ontology model and the beneficial effect of the invention is that users can be supplied with different services at any time and at any place through mobile terminals on the internet.

The invention discloses a multitask scheduling optimization method of a knowledge service in the cloud environment and a scheduling system constructed via the method. According to the method, an optimization objective function and constraint conditions of multitask scheduling of the knowledge service in the cloud environment are determined, and an objective is optimized on the basis of a multi-group bidirectional driving cooperative search algorithm in the big data environment. A dynamic random function is introduced into knowledge service time of the optimized objective, the dynamic random characteristic of the service time in the practical operation process of the platform can be simulated effectively, the adaptation to the dynamic and random performances of the knowledge service processof the scheduling optimization algorithm is embodied, and the response efficiency of the knowledge service process is improved; and a mapping relation between a particle position vector and knowledgeresource distribution is established in a binary coding manner, the optimization algorithm is mapped into a discrete data space, a multi-group bidirectional driving mechanism is used to realize cooperative interactive searching between a common group and a model group, the algorithm is more adaptive to the random scheduling task, and the problem in optimization of multitask scheduling of the knowledge service is solved effectively.