60 results about "Annotation database" patented technology

A system, method and program product for providing for the review of documents by a community of interest having a computer accessible database of documents, a computer accessible database of annotations for recording annotations of selected documents in the database of documents, and a publication / subscription (Pub / Sub) infrastructure for publishing selected documents in the database of documents and annotations thereof to subscribers of the selected documents. A registration process registers members of the community of interest who have authority to view selected documents of the database of documents, to view and modify annotations of the documents through the Pub / Sub infrastructure.

A method and apparatus automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works.

An authoring tool (or process) to facilitate the performance of an annotation function and an indexing function. The annotation function may generate informational annotations and word annotations to a database design schema (e.g., an entity-relationship diagram or “ERD”). The indexing function may analyze the words of the annotations by classifying the words in accordance with a concordance and dictionary, and assign a normalized weight to each word of each of the annotations based on the classification(s) of the word(s) of the annotation. A query translator (or query translation process) to (i) accept a natural language query from a user interface process, (ii) convert the natural language query to a formal command query (e.g., an SQL query) using the indexed annotations generated by the authoring tool and the database design schema, and (iii) present the formal command query to a database management process for interrogating the relational database.

In response to a user request, an annotation form is presented to a user for annotating a target document or image in a database. The annotation form is associated with the target document. A runtime program is associated with the annotation form. The annotation form selected by the user provides prompts for annotation input. The annotation input is saved in an annotation database and the runtime program performs an action on behalf of the user. Preferably the runtime program action comprises analysis of elements of the target document.

A system for automated annotation of images and videos points a mobile device towards an object of interest, such as a building or landscape scenery, for the device to display an image of the scene with an annotation for the object. An annotation can include names, historical information, and links to databases of images, videos, and audio files. Different techniques can be used for determining positional placement of annotations, and, by using multiple techniques, positioning can be made more precise and reliable. The level of detail of annotation information can be adjusted according to the precision of the techniques used. A trade-off can be taken into account between precision of annotation and communication cost, delay and / or power consumption. An annotation database can be updated in a self-organizing way. Public information as available on the web can be converted to annotation data.

In response to a user request, an annotation form is presented to a user for annotating a target document or image in a database. The annotation form is associated with the target document. A runtime program is associated with the annotation form. The annotation form selected by the user provides prompts for annotation input. The annotation input is saved in an annotation database and the runtime program performs an action on behalf of the user. Preferably the runtime program action comprises analysis of elements of the target document.

An annotation database section 232 of a hard disk drive 208 stores annotation data corresponding to each file separately from the file. The annotation data include attribute information, history information, and location information regarding each file. In response to input of desired conditions of an object file to be extracted, a data management module 226 reads out annotation data that meet the input conditions. An annotation information analyzer module 224 analyzes the syntax of the annotation data to gain location information. A data management module 226 obtains the object file from a location identified by the location information. Even when the object file is located at a remote place, for example, in a server on a network, this arrangement enables the object file to be readily extracted. The object file may be an image file or any other file.

A digital annotation-based visual recognition book pronunciation system and its method of operation are disclosed. In one embodiment, a mobile application program in the system extracts graphical feature points from a page image of a book captured by an integrated camera lens, transmits the graphical feature points to a digital annotation database executed in a cloud computing server, retrieves a book pronunciation content associated with the page image of the book, and superimposes an icon or a representation of the book pronunciation content on the page image of the book displayed as a real-time augmented application on the display panel of the mobile device. The system further includes the digital annotation database that stores relational data between the page image of the book and the book pronunciation content recited by a human narrator, and a related image analysis and matching program.

A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

A system and method for transcoding digital content (e.g. web content) by correctly employing one annotation for multiple digital contents. This can efficiently reduce the workloads required for the addition of annotation data during the transcoding process. A transcoding system comprises an annotation database system for storing annotation data to be used for the transcoding of contents, and a transcoder for transcoding the contents based on annotation data stored in the annotation database system. Upon receiving an inquiry from the transcoder, a correlation between elements in the contents and descriptions of the annotation data is checked to select one annotation that can be employed for transcoding the content. The correlation is specifically determined based on XPath information.

A system for annotating genomic variant files includes an application server, an annotation database, a genomic database, and an annotation processing computer system. The genomic database may be graph-oriented. The annotation processing computer system processes can process variant files in batch modes and includes annotation modules designed to improve the speed of the annotation process. The batch modes may include batch transmission, and / or batch annotation.

The invention provides a digital pathological image annotation method and system. The method comprises the steps that a standard graphic annotation tool based on a pathological term base is adopted to annotate a to-be-annotated digital pathological image; format management is performed on pathological annotation information on the annotated digital pathological image based on an XML format; and the annotated digital pathological image is allocated to at least three persons for review, the annotated digital pathological image passing review is stored in an annotation database, and data in the annotation database is transmitted to a machine learning sample base for machine learning. A professional, normalized and systematic digital pathological image annotation solution is provided, a user can utilize various terminal devices to perform annotation, retrieval, uploading and downloading, annotation efficiency can be improved, and formation of a uniform and collaborative pathological image annotation mechanism is promoted.

Abstract of the Disclosure An annotation server stores annotation data sent from a web client into a first annotation database. The annotation server retrieves annotation data whose description information requires an execution result of a predetermined program from the first database, and incorporates the execution result of the predetermined program into the description information for the retrieved annotation data. Then, the computer transfers the data to the second database. Receiving a sending request for annotation data from a web client, the annotation server retrieves the annotation data from the second database and sends it to the web client that sent the request. Therefore, the web client displays the latest information as an annotation over a web page according to the annotation data received from the computer.

An authoring tool (or process) to facilitate the performance of an annotation function and an indexing function. The annotation function may generate informational annotations and word annotations to a database design schema (e.g., an entity-relationship diagram or “ERD”). The indexing function may analyze the words of the annotations by classifying the words in accordance with a concordance and dictionary, and assign a normalized weight to each word of each of the annotations based on the classification(s) of the word(s) of the annotation. A query translator (or query translation process) to (i) accept a natural language query from a user interface process, (ii) convert the natural language query to a formal command query (e.g., an SQL query) using the indexed annotations generated by the authoring tool and the database design schema, and (iii) present the formal command query to a database management process for interrogating the relational database.

In one exemplary embodiment, a computer-implemented method includes searching a database of annotations associated with an annotating proxy server. An annotated web page is obtained. The annotated web page can include an annotated web-page element. An annotation of the annotated web-page element can be included in the annotated web page by an annotating proxy server. The annotation can be stored in a database of web page annotations. The annotated web page can be annotated with a query field. A user-generated search query can be received in the query field. The database of web page annotations can be searched according to the user-generated search query.

A system for annotating genomic variant files includes an application server, an annotation database, a genomic database, and an annotation processing computer system. The genomic database may be graph-oriented. The annotation processing computer system processes can process variant files in batch modes and includes annotation modules designed to improve the speed of the annotation process. The batch modes may include batch transmission, and / or batch annotation.

An annotation database section 232 of a hard disk drive 208 stores annotation data corresponding to each file separately from the file. The annotation data include attribute information, history information, and location information regarding each file. In response to input of desired conditions of an object file to be extracted, a data management module 226 reads out annotation data that meet the input conditions. An annotation information analyzer module 224 analyzes the syntax of the annotation data to gain location information. A data management module 226 obtains the object file from a location identified by the location information. Even when the object file is located at a remote place, for example, in a server on a network, this arrangement enables the object file to be readily extracted. The object file may be an image file or any other file.

A system and method for transcoding digital content (e.g. web content) by correctly employing one annotation for multiple digital contents. This can efficiently reduce the workloads required for the addition of annotation data during the transcoding process. A transcoding system comprises an annotation database system for storing annotation data to be used for the transcoding of contents, and a transcoder for transcoding the contents based on annotation data stored in the annotation database system. Upon receiving an inquiry from the transcoder, a correlation between elements in the contents and descriptions of the annotation data is checked to select one annotation that can be employed for transcoding the content. The correlation is specifically determined based on XPath information.

A management module of an annotation server receives annotation data, which contains location information of web page data, content information of an annotation, and position information of an object to which the annotation is linked, from a web client machine together with a registration request. Then, the management module issues an annotation ID. The module retrieves a text, which consists of an object to which the annotation is linked and an adjacent part that has a relationship satisfying a predetermined condition with the object, as context information from a source text of the web page. Then, the module registers the context information together with the annotation data that is received in advance into an annotation database.

System and methods for generating provider quality ratings are described. One exemplary method includes establishing, with a collection processor, a listing of locations containing user comments relating to a plurality of providers. The collection processor collects user comments relating to a provider from the listing of locations. The user comments are normalized and stored in a normalized user comment database. Next, a natural language processor analyzes the normalized user comments using sentiment analysis. A provider rating is determined from the sentiment analysis provider rating and transmitted to a display device.

The invention provides a database-based annotating method and device. The method includes: scanning a paper document to acquire a first image; according to the first image, acquiring text contents of multiple topics and multiple second images of multiple answers; according to the second images, acquiring multiple search words; according to the search words, searching for an annotation database; for the search words unsearched, adding annotation contents, and storing the annotation contents in the annotation database; for the search words searched, correcting the annotation contents, and storing the corrected annotation contents in the annotation database; for all search words, establishing an annotation list which contains the search words and corresponding annotation contents; according to the annotation list, generating a text content containing multiple topics and corresponding annotation contents, and automatically transmitting the text content via an E-mail. The database-based annotating method and device have the advantages that the annotation database is established by recording and gathering annotation information and by searching for the annotations through the search words, annotation efficiency is improved.

The present application provides for techniques for implementing data auditing embodiments that determine whether a query into a database is or has referenced forbidden data within the database. Various techniques are given for efficiently finding all tuples in a database referenced by a given query. A set of sensitive data is determined within a database and the set of sensitive data is employed to define a forbidden view within the database. Data within the database may be annotated to provide efficient identification of data access by query. Incoming queries may be analyzed and modified to propagate annotations for analyzing what data is or was accessed.

The invention discloses an automatic selection method and system for labeling data, a device and a storage medium. The automatic selection method comprises the following steps: obtaining the data to be labeled; judging whether the data to be annotated is structured data or unstructured data; if the data is structured, obtaining a plurality of labeled data after the data to be labeled is labeled for many times; selecting the marked data with the largest number of repetitions among the marked data as the target marked data; if the data is unstructured, obtaining the annotated data after the datato be annotated; judging whether the annotated data has passed the audit according to the reference annotation database, and storing a plurality of reference annotation data in the reference annotation database; if approved, selecting the annotated data as the target annotation data. The invention adopts different ways to automatically select the labeled data conforming to the preset rules as thetarget labeling data according to the structured and unstructured data to be labeled, thus saving the cost and improving the efficiency and the quality.

The invention discloses a pathogenic microorganism metagenome detection method based on third-generation sequencing, the method comprises the following steps: acquiring original gene detection data of third-generation sequencing of a sample, removing interference sequences, and retaining non-human data; establishing a mapping relationship between the whole species nucleic acid database and the whole species classification database; removing invalid mapping relationships in the mapping relationship set to obtain an effective mapping relationship set of the non-human source data and the whole species classification database, and performing calculation according to the effective mapping relationship set to obtain a species identification result; constructing a microorganism annotation database to obtain microorganism annotation information; constructing a microbial drug resistance database to obtain microbial drug resistance information; and obtaining a microorganism detection report according to the species identification result, the microorganism annotation information and the microorganism drug resistance information. According to the method, the non-human source data is established, the mapping result is optimized, the detection precision is improved, the accuracy of species classification in similar regions is improved, and then species are obtained through prediction and comparison of sequence results.

The invention relates to an enhanced CT image rectal cancer staging auxiliary diagnosis system based on deep learning. The system comprises an enhanced CT image input module, an enhanced CT image and annotation database, an image preprocessing module, a rectal lesion area discrimination module, a lesion lymph recognition module, a focus feature extraction module, a comprehensive diagnosis module and a visualization module. Aiming at the problems that a rectum enhanced CT image is complex in data structure and difficult to distinguish cancerous areas and stages thereof, the rectum enhanced CT image rectal cancer data labeling and data set construction, rectal cancer lesion area discrimination based on a self-attention deep learning model and metastatic lymph node identification based on sequence adaptive feature fusion are researched. A rectal cancer staging intelligent auxiliary diagnosis system is designed and realized, and clinical application experiment verification is carried out, so that comprehensive data acquisition accuracy and efficiency before a rectal cancer operation are improved.

The invention provides an index structure of a genome function annotation database, a method for quickly annotating a genetic variation and a system. The index structure comprises a first-grade indexfile based on an annotation database, and a second-grade index file based on the first-grade index file. The first-grade index file comprises a plurality of file blocks. Each file block is composed ofa head and a body. The body is composed of a plurality of lines of compressed data. Each file block corresponds with one compressed block of the annotation database. The second-grade index file is composed of a plurality of lines of data. Each line of data store the position interval of the body data of one file block in the first-grade index file, and a 64-bit virtual file address which can directly address the file block. According to the annotation method, the file address of the data line with the result is found through scanning the two-grade index file, and the annotation database is positioned according to the file address for extracting annotation information and performing annotation on the genetic variation. Compared with direct scanning to the annotation database, the index structure has advantages of greatly reducing magnetic disk reading operations and improving searching speed.

The invention discloses an optimization method for accurate species identification of human flora through high-throughput 16S rDNA sequencing. The optimization method comprises the following steps: 1)establishing a human metagenome bacterium genome database based on human microorganism samples; 2) extracting full-length 16S rDNA sequences of the human metagenomic bacterium genome database, and establishing 16S rDNA species annotation databases of different human body parts; and 3) establishing a sample-strain 16S sequence abundance correlation network, and training a machine learning model byusing the data. The invention also provides a method for performing species identification and abundance calculation on the high-throughput sequencing 16S rDNA sequences by using the constructed database and model. According to the invention, the species classification resolution and accuracy of 16S rDNA can be greatly improved, so an analyst can find more accurate and clear strains according toresults.

The invention relates to a medical health data uploading management platform, which comprises a control processor, and a data source module, a project module, a code matching module and a data quality module which are connected with the control processor, and is characterized in that a historical database and an annotation database are arranged in the data source module; wherein a regional project list, a hospital data set, a data query module and a data analysis module are arranged in the project module, the code matching module enables the hospital data set in the project module to complete code matching work on a unified standardized platform, automatic matching is performed according to similarity, and a data report is convenient to upload; the data quality module is internally provided with a verification module, and the verification module is internally provided with a common verification logic function. The invention is for full-life-cycle management of data uploading, multiple core functions of data extraction, cleaning, dictionary transcoding, data quality verification, data uploading and the like are achieved, and full-life-cycle monitoring of the data is achieved through an elasticsearch log service in the full life cycle.

The invention provides a method and device for generating OCR image recognition model training data. The method comprises the steps: obtaining an OCR image, wherein the OCR image comprises names and parameter values of one or more parameters; cutting the OCR image into a plurality of parameter pictures based on the parameters; identifying each character in each parameter picture; based on a presetcharacter database and a preset annotation database, sequentially splicing the character pictures corresponding to the characters, and combining the annotation sequences of the character pictures toobtain a spliced picture of the parameter picture and annotations of the spliced picture; traversing each parameter picture, sequentially splicing the obtained spliced pictures to determine the spliced picture corresponding to the OCR image, and sequentially combining the obtained annotation sequences of the spliced pictures to determine the annotation of the spliced picture corresponding to the OCR image; and determining the spliced picture corresponding to the OCR image and the label of the spliced picture as the training data of the OCR image recognition model. Through the method, high-quality training data can be obtained.

The invention discloses a fast assistant positioning method for a disease. The method comprises the steps that all phenotypes, described by a patient, of an affected disease are received, and all the received phenotypes are adopted to construct a patient description phenotype set; all diseases with the phenotypes described by the patient in a phenotype annotation database are acquired; phenotypes corresponding to each disease are searched for, and the phenotypes corresponding to each disease are adopted to construct a relevant disease phenotype set; the similarity between the patient description phenotype set and each relevant disease phenotype set is calculated; and the similarities between the patient description phenotype set and all the relevant disease phenotype sets are compared, wherein the higher a similarity value is, the higher the probability of suffering from the disease corresponding to the current similarity by the patient.