103 results about "Knowledge engineering" patented technology

A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of process modeling computers.

The invention provides an automatic legal knowledge graph construction method, and aims at automatically constructing legal knowledge graphs according to trial documents. The method comprises the following steps of carrying out stop word removal and word segmentation on obtained trial documents; respectively extracting subject words of three types of trial documents, carrying out part-of-speech tagging and filtration on the extracted subject words, and extracting noun or noun phrase subject word to serve as entity concepts of a legal knowledge graph according to the filtration result; obtaining words similar with each extracted noun or noun phrase subject word, carrying out part-of-speech tagging and filtration on the obtained similar words, and extracting noun or noun phrase subject word similar words as entity concepts of the legal knowledge graph according to the filtration result; and constructing the legal knowledge graph according to the extracted subject word entity concepts, the similar word entity concepts and triple structures such as subject word-subject relationship-subject word and subject word-similar relationship-similar word formed by a relationship between the subject word entity concepts and the similar word entity concepts. The invention relates to the technical field of knowledge engineering.

The invention discloses a multi-modal knowledge graph construction method, and relates to the knowledge engineering technology in the field of big data. The method is realized through the following technical scheme: firstly, extracting multi-modal data semantic features based on a multi-modal data feature representation model, constructing a pre-training model-based data feature extraction model for texts, images, audios, videos and the like, and respectively finishing single-modal data semantic feature extraction; secondly, projecting different types of data into the same vector space for representation on the basis of unsupervised graph, attribute graph, heterogeneous graph embedding and other modes, so as to realize cross-modal multi-modal knowledge representation; on the basis of the above work, two maps needing to be fused and aligned are converted into vector representation forms respectively, then based on the obtained multi-modal knowledge representation, the mapping relation of entity pairs between knowledge maps is learned according to priori alignment data, multi-modal knowledge fusion disambiguation is completed, decoding and mapping to corresponding nodes in the knowledge maps are completed, and a fused new atlas, entities and attributes thereof are generated.

The invention relates to an automatic standardized filing method based on text semantic mining. The automatic standardized filing method is characterized by comprising the steps: crawling files from a website, and carrying out information extraction, key word extraction and automatic abstract generation on the crawled file and a local file by utilizing text semantics, and finally storing into an informatization system. For the information extraction, a rule set is established by adopting a knowledge engineering method, information points are automatically extracted from the file to form structural data; for the key word extraction, a key word is extracted according to a position and semantics of a word in a text to generate a key word index; for the automatic abstract generation, a content contained by the abstract is firstly set, corresponding information is extracted from the text, the similarity of sentences is calculated, and the texts including the key information in the original file are extracted. By adopting the automatic standardized filing method, business personnel do not need to read a great amount of files, time and labor are saved, and convenience in inquiry and application can be realized.

The invention discloses a domain audit knowledge graph construction method based on machine learning. The method comprises the steps of firstly obtaining data through multiple sources; preprocessing the acquired data; adopting an entity identification and relationship processing module and an expert knowledge engineering module to realize entity identification; then entering a natural language understanding module according to entities obtained in the two steps of the entity recognition and relationship processing module and the expert knowledge engineering module, and extracting feature wordsby utilizing a topic model; entering a feature machine learning module according to the feature words extracted by the natural language understanding module, adjusting the weight according to a specific scene, and classifying the feature words; finally, generating a knowledge graph. The knowledge graph constructed by the invention can reveal multi-dimensional association between audit related subjects; therefore, the retrieval and association comparison efficiency of auditing laws and regulations and cases is improved.

A strategic method for process control wherein the method includes, for a predetermined process juncture, the steps of: (A) defining an interconnection cell having associated therewith (i) at least one set of input data or at least one set of process control parameters, and (ii) at least one set of output data; (B) assigning at least one boundary value to at least one set of the sets associated with the defined interconnection cell; (C) using the assigned at least one boundary value, forming a plurality of discrete respective set combinations, and (D) for the interconnection cell, processing data from the plurality of respective formed set combinations into respective corresponding data record clusters.

The strategic method for process control is a continuation-in-part of a Knowledge-Engineering Protocol-Suite, (U.S. patent application Ser. No. 09/588,681 filed on 7 Jun. 2000) incorporated herein by reference, that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. The protocol-suite includes facile algorithmic tools for use with the method.

The invention discloses a knowledge-engineering-based automatic scheme generation and evaluation system. The automatic scheme generation and evaluation system comprises a project management subsystem, a demand management subsystem, a product database subsystem, a collaborative design subsystem and an electronic product design technology platform, wherein the project management subsystem is in charge of providing solving ideas and tools; the demand management subsystem is used for decomposing the product design demand, converting into task indicators and multi-level task sequences, realizing dependence mapping and providing real-time monitoring of the indicators; the product database subsystem is used for managing design data and setting data standards and regulations; the collaborative design subsystem plays the role of a bridge; the electronic product design technology platform is in charge of generalizing and managing typical data, design methods and digital prototype models of all products and pushing information to the collaborative design subsystem. A method comprises the steps of knowledge extraction and classification, professional knowledge base setting, knowledge-engineering-based platform construction and automatic design scheme generation and evaluation. According to the invention, knowledge engineering is introduced into the electronic product design, so that the reuse rate of knowledge and other resources is effectively improved, automatic generation and evaluation of product schemes are realized, the product research and development time is shortened and the intelligence degree is high.

The invention discloses a warehouse replenishing method, which belongs to a supermarket chain support technology. By introducing a knowledge library which is established on the basis of knowledge engineering and fusing the replenishing decision support system of an information system, warehouse replenishing management can be controlled more intelligently for different sale modes, and a replenished commodity number and replenishing time can be further modified according to cost, client satisfaction, a stockout rate, a safe stock quantity and the delivery time of suppliers. Compared with the prior art, the method has the advantages that: the stock cost can be reduced, and the stock management efficiency can be improved.

The invention integrates software and knowledge engineering with robotics technology to improve robot-to-robot and robot-to-human conversational interface and provide on-the-fly translations of situational requirements into adaptive behavior models and further down to service scenarios for a collaborative robot teams.

The invention provides an automatic construction method for a legal instrument and action cause classifier and relates to the field of knowledge engineering technology. The classifier is high in classification efficiency and high in accuracy. The method comprises the steps that legal instruments of multiple types of action causes are acquired, and a test corpus of each type of action causes is determined; stop words and segmented words are removed from each type of test corpus; a basic keyword of each type of action causes is determined according to a word segmentation result; word vector training is performed on each type of test corpus according to the word segmentation result, the keywords are expanded, and an expanded keyword list of each type of action causes is determined according to the expanded keywords and the determined basic keywords; a to-be-classified legal instrument is input, stop words and segmented words are removed from the input to-be-classified legal instrument, and word vector training is performed on the input to-be-classified legal instrument; and a semantic similarity sum of the to-be-classified legal instrument and each type of expanded keyword list is calculated according to a word vector training result of the to-be-classified legal instrument, and the action cause corresponding to the maximum semantic similarity sum is taken to serve as the action cause corresponding to the to-be-classified legal instrument.

The template-based fast engineering design method comprises: secondary packing integration of different engineering application or self-developed software to build software database for control and calling; acquiring engineering data (such as rule, history data, method and case) to build engineering database; building design and analysis template included code to call database and dialog box for interactivity, and implementing the design analysis automation. This invention improves design efficiency and quality with less cost.

The invention provides an automatic construction method for a legal ontology knowledge base, by which the legal ontology knowledge base can be constructed according to legal judgment writs. The method comprises the steps: utilizing cyber legal text data to count specialized high-frequency words in the legal judgment documents, and constructing a word list of the legal field according to the specialized high-frequency words which are obtained via counting; removing stop words in the legal judgment documents according to the constructed word list of the legal field, and then segmenting words; carrying out iteration classification on the legal judgment document data according to the legal judgment document data in which the words are segmented, extracting subject words of each category in the classification of each time, and dividing the subject words of each category according to the classification hierarchy sequence to obtain the hierarchical relationship between the subject words; and constructing the legal ontology knowledge base according to the extracted subject words and the obtained hierarchical relationship between the subject words. The automatic construction method provided by the invention is suitable for the technical field of knowledge engineering.

The invention relates to a system for intelligent decision-making of concrete dam pouring construction based on knowledge engineering. The system comprises an engineering information base, a construction rule base, an intelligent reasoning system and a function module system. The system for intelligent decision-making of concrete dam pouring construction based on knowledge engineering, and the method for intelligent decision-making of concrete dam pouring construction based on knowledge engineering, both created by the invention, can realize management and decision-making of concrete dam pouring construction through the application of the methods such as knowledge representation, knowledge acquisition and knowledge reasoning of the knowledge engineering and the intelligent reasoning system, with the premise that the technology specification and requirement of concrete dam pouring construction are complied.

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.

An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.

Methods and systems for automated, local product classification through knowledge engineering aided by visual representation of the product may be combined with some targeted queries. A library of product descriptions, particularly, print product descriptions, are visualized and custom document visualizations can be created and added. Products in the library can be searched and managed via a query mechanism that filters on values of the product characteristics. Knowledge encoded in the visual representation is automatically mapped into the classification system's internal representation of the print products which is thus made common throughout the shop and may be made common across shops. The characteristics as described by the product visualization, in combination with ranges and other parameter constraints, can be subsequently mapped into the internal abstraction of product type representation of a conversation system for transforming product descriptions into process networks.

The invention discloses a multi-modal event knowledge graph construction method, and belongs to the technical field of knowledge engineering. The method comprises the following steps: acquiring data; constructing a domain event ontology library; extracting a multi-modal event trigger word; extracting event elements; extracting a multi-modal event relationship; based on event co-reference disambiguation of the event ontology library, merging the same sub-events to form multi-modal event sub-graphs; and merging the sub-graph to obtain the domain multi-modal event knowledge map. acquisition quality and acquisition efficiency of the data can be improved, the labor cost is reduced, the complexity of constructing the knowledge graph is reduced, and the quality of constructing the knowledge graph is improved.

The present invention is a method and apparatus for increasing the usefulness of visual knowledge in a number of applications. It distills the relationships between characteristics and hypotheses into database form, thereby organizing visual information in a manner suitable to aid the user in the investigation of the various hypotheses (medical diagnosis, pill identification, plant/animal identification, cause of death, cause of accident, etc.). The invention sidesteps unresolved issues around knowledge engineering by not automating a decision making process. Rather, the present invention utilizes a relational database to dynamically respond to textual and visual findings as an aid to assist a user reaching a reasoned conclusion based upon information available by direct observation and comparison with stored image and textual data.

The invention relates to a use method of a combat knowledge system based on knowledge engineering and a combat decision auxiliary method. The use method comprises the following steps: mining a new rule from battlefield experiment data by using a data mining engine; carrying out object and attribute extraction on the new rule and the existing rule through a rule engine so as to construct a combat rule base; performing rule reasoning calling on the combat rule base by utilizing a Rete algorithm through the rule engine to generate a reasoning result; forming a knowledge ontology library from the acquired battlefield experiment data by three elements of entities, relationships and attributes through a knowledge engine; and performing knowledge retrieval and knowledge recommendation on the multi-party information by using the knowledge engine according to the knowledge ontology library and a reasoning result generated by the rule engine so as to generate combat decision support. According to the invention, deeper analysis, research and judgment work is carried out on the combat factor information, so that weapons are associated with each piece of intelligence information, the data of informatization combat are fused and standardized, and the command efficiency is improved.

A system and method of communication based on the Reverse Multiple-Choice Method of teaching and testing is disclosed where at least one communicant is a machine. The method is applicable for training a machine for knowledge engineering and artificial intelligence oriented applications, as well as for a trained machine to assist a human being engaged in the activity of teaching or testing.

The invention relates to an engineering technical and economic knowledge retrieval platform based on a knowledge graph and method thereof. The platform comprises a technical and economic knowledge library, a semantic processing unit, and an interaction unit, and the technical and economic knowledge library and the interaction unit are connected with the semantic processing unit. The technical andeconomic knowledge library is used for storing project management knowledge, technical and economic knowledge, cost knowledge, engineering technology knowledge, law and regulation knowledge and actualcases; the semantic processing unit generates a corresponding retrieval formula according to a retrieval statement input by a user so as to retrieve from the technical and economic ontology knowledgebase to obtain a related knowledge graph; and the interaction unit is used for a user to carry out input operation of retrieval statements, and visually presenting the related knowledge graph obtained by retrieval to the user. Compared with the prior art, the technical and economic knowledge library is constructed, semantic retrieval is combined, a user can accurately and rapidly retrieve neededknowledge, and engineering professional cooperation efficiency can be improved.

The invention provides a method and a device for extracting a relationship between entities in traditional Chinese medicine documents, which can improve the accuracy of extracting a relationship typebetween entities. The method comprises the following steps: for a to-be-processed traditional Chinese medicine literature, obtaining an entity type and an entity-to-entity relationship type marked forpartial contents of the to-be-processed traditional Chinese medicine literature; training a named entity recognition model according to the marked entity type; utilizing the trained named entity recognition model to carry out named entity recognition on the to-be-processed traditional Chinese medicine literature, and obtaining a candidate entity pair and a feature table with a relation accordingto a named entity recognition result; according to the obtained candidate entity pairs with the relations and a feature table, using a factor graph model to carry out statistical reasoning on graph probabilities, learning entity relation features globally, and obtaining the probability of the relations between entities; and determining the type of the relationship between the entities according tothe obtained probability of the relationship between the entities in combination with a dependency analysis method for extracting the fact triple and the marked relationship type between the entities. The invention relates to the field of knowledge engineering.

The invention relates to a dispatching method for a container gantry crane of a knowledge engineering based container terminal. A knowledge system of container gantry is systematically designed and realized by the following steps: firstly, sorting out the knowledge of container gantry crane dispatching of the container terminal obtained by using the knowledge sorting process (KSP); secondly, designing the reasoning mechanism of the knowledge system of container gantry crane dispatching; then, analyzing the system structure of the knowledge system of container gantry crane dispatching, elaborating the main framework and basic constitution thereof; realizing the knowledge system of container gantry crane dispatching through the software ExsysDevelope 7.0.18 based on the representation of knowledge studied at prior and the reasoning mechanism; and finally, carrying out case study on the knowledge system of container gantry crane dispatching, changing the container area where work is to be done under same condition to obtain different dispatching results, and verifying the validity and the reliability of the knowledge of container gantry crane dispatching of the container terminal.