30 results about "Controlled vocabulary" patented technology

Embodiments of the present invention provide indexing, organizing, storing and/or retrieving of environmental information regarding a proposed environment-modifying project, including information about an environment-modifying natural event or construction project (“project”); a natural, constructed or socioeconomic feature in the area of the project (“setting”); a change to the setting brought about by the project (“impact”); or a feature designed to ameliorate a potential environmental impact of the project (“mitigation”). The environmental information is indexed with metadata that may be hierarchically organized and made available to a reviewer in a controlled vocabulary or a user-defined vocabulary.

There is provided a system and method for an ontological and rules based segmentation engine for networked content delivery. There is provided a segmentation engine for use by a network accessible computing device providing customized content for a user on the network, comprising a user context regarding the user, a content management system for storing content, a controlled vocabulary categorizing content, an ontology using the controlled vocabulary for referencing the content of the content management system, segment definitions grouping users into segments matching content types to controlled vocabulary elements, segment rules using user context to associate with segment definitions, and a segmentation processor. The segmentation processor can receive a content request from the user, and by using the elements of the segmentation engine, determine the segment definitions applicable to the user and provide customized content from the content management system. The segment definitions are readily modifiable without detailed low-level knowledge.

Computer-program products and methods for automatically annotating terms, such as ambiguous terms, in an electronic text document are disclosed. In one embodiment, a method of annotating a text document includes determining, by a computing device, a term of interest within the text document. The method further includes searching a data structure including incongruous term pairs (t_x, tt) determined from a controlled vocabulary for the term of interest appearing as a term tt, wherein the term tt is a linguistic head of a term t_x of the incongruous term pairs (t_x, tt). The method further includes annotating the term of interest with a meaning provided by the controlled vocabulary only if a term t_x of the incongruous term pairs (t_x, tt) associated with the term of interest in the data structure is not present within a predetermined textual distance of the term of interest in the text document.

A method, system and software arrangement in accordance with an exemplary embodiment of the present invention are provided to extract descriptive narrative from numerical experimental data augmented with ontological controlled vocabulary. One exemplary application of such system, method and software arrangement is in organizing gene-expression time course data in terms of biological processes that may be activated and deactivated as the biological system responds to its normal or perturbed environment. The present invention may also have biological applications to drug-or-vaccine discovery, understanding behavior of a cell in an altered diseased state (e.g., cancer, neuro-degeneration or auto-immune disease, etc.), genetically modifying a natural wild-type organism, genetic-engineering, etc. Other exemplary applications may include understanding neural behavior, market behavior of a population of users interacting on the Internet, etc.

The invention discloses a method, a device and a system for protein knowledge mining and discovery in a Chinese bibliographic database and can achieve mining and discovery of protein knowledge in the Chinese life-science bibliographic database. The technical scheme includes that the method comprises constructing the Chinese bibliographic database and a scientific data type database, performing translation and compiling of a protein-relevant text mining tool dictionary on the basis of a standard control vocabulary of the scientific data type database and with protein nouns in the Chinese bibliographic database as mining and discovery objects; converting identification number into hyperlink information according to protocols provided by the scientific data type database, and generating the Chinese bibliographic database facing to themes and application; and removing false-positive protein mining results in data mining and information integration results and modifying Chinese bibliographic text mining results.

A system for an online community based on Structured Dialogs offering organizations the opportunity to create online communities and have a dialog with users on their status, condition, and progress without the risk of adverse event reports by users. The system may include an interface that limits user communication to Structured Dialogs comprising controlled vocabulary elements of specific choices, including pop-ups, drop downs, and sliders. The system includes a personal health and wellness management tool coupled with the community to enable the user to manage his or her medication and condition using Structured Dialogs and thus making the interaction more interesting and effective for users. The system may also include an information repository “Info” Layer that can offer articles that are relevant to users. The “We”, “Me” and “Info” Layers can share statistics and Structured Dialogs data.

The invention relates to a method for automatically authenticating the value of documentary archives. The method includes the steps that the keywords of the tile and the full text of a documentary archive are extracted respectively; keyword distribution is conducted according to a controlled word list to obtain a keyword set; the keyword distribution result is calculated and discriminated, the archiving class is determined through keyword weight word frequency calculation, the retention period is determined through automatic annotation classification calculation, and then a first conclusion and a second conclusion which include the archiving class and the retention period respectively are obtained; the archiving class and the retention period are comprehensively recommended. A keyword base with the documentary archive retention value as the theme is built, the keywords in the tile and the document are extracted according to a related file, the archiving class of the documentary archive is determined, a means is provided for automatically authenticating the value of a large batch of documentary archives, the concurrent operation of authenticating the retention value of multiple documentary archives can be achieved, and the efficiency of authenticating the value of the documentary archives is improved.

The invention provides a new keyword extraction technology. According to the technology, vocabulary position weights and word class weights are determined according to a Chinese word segmentation preprocessing process, the relevancy between two vocabularies is calculated with reference to a core vocabulary with the highest text vocabulary contribution, a multi-subject network model is constructed, an objective function is constructed to extract connection words, a cross function is utilized to fuse the connection words into the multi-subject network model, a new model graph is obtained, and then an anteposition vocabulary, namely a text keyword is extracted. The technology is high in accuracy and has higher application value, the contributions of different vocabularies to text ideology can be precisely calculated, multi-subject performance is considered, different characteristics are distinguished, and a good theoretical basis is provided for subsequent text similarity analysis and text clustering.

The invention discloses a detection model compression method based on semantic segmentation, and relates to the fields of artificial intelligence and computer vision. The method comprises the following steps: (1) pruning: 1) inputting a convolution kernel weight; 2) pruning is carried out on the trained network model to obtain a parameter space of sparse weights; (2) semantic segmentation: 1) performing semantic segmentation on the parameter space to obtain a hyper-parameter block and a central vocabulary, and calculating the central position of the hyper-parameter block; and 2) updating the original parameter space by using the central vocabulary. 3) judging whether the change of the current central vocabulary and the previous central vocabulary is smaller than a specified threshold value, if so, continuing to search parameters similar to the central vocabulary, and updating the central vocabulary and returning to the step 2); and ending the updating of the central vocabulary if the current vocabulary is smaller than the threshold. And (3) model storage: storing the hyper-parameter block boundary position, the parameter block center position and the center vocabulary value obtained by training. According to the method, hyper-parameters are used for describing the whole parameter space, overall compression of the parameter space is achieved, and the overall compression ratio ofthe model is increased to the maximum extent.

The invention provides a dictionary-based sememe knowledge base construction method and device, and the method comprises the steps: constructing a sememe set according to a controlled word list of a target language dictionary; obtaining a paraphrase word set corresponding to the paraphrase of each semantic item according to the semantic item of each word in the target language dictionary; and according to the sememe set, performing sememe extraction on the paraphrase word set, and according to a sememe extraction result, constructing a sememe knowledge base corresponding to the target language dictionary. Through the dictionary of the target language and the controlled word list corresponding to the dictionary, the primitive knowledge base can be efficiently, economically and automatically constructed for the target language, the problem that time and labor are wasted when the primitive knowledge base is manually constructed is solved, and good practicability is achieved.

The invention discloses a hash processing based vocabulary management method and device. The method comprises the steps of maintaining a first hash vocabulary list and a second hash vocabulary list through a server, wherein the first hash vocabulary list is used for recording the correspondence relationship between the hash value and the non-conflict vocabulary, and the second hash vocabulary list is used for recording the correspondence relationship between the hash value and a plurality of conflicted vocabularies; performing hash processing for the vocabulary to be processed through the server to obtain the corresponding hash value; searching the first hash vocabulary list and the second vocabulary list according to the hash value; if the hash value is recorded in the first hash vocabulary list or the second hash vocabulary list and all vocabularies to be processed are corded in the hash value, determining that the vocabulary to be processed is the first type of vocabulary through the server. With the adoption of the method, the wrong conclusion caused by that a plurality of vocabularies cannot be recorded in the hash list can be avoided, and thus the vocabulary inspection accuracy can be improved.