Various embodiments illustrated herein disclose a method that includes receiving a plurality of images from an image capturing unit. Thereafter, an image evaluation process is executed on each of plurality of sections in each of the plurality of images. The image evaluation process includes performing optical character recognition (OCR) on each of the plurality of sections in each of the plurality of images to generate text corresponding to the plurality of respective sections. Further, the image evaluation process includes querying a linguistic database to identify one or more errors in the generated text. Further, the method includes modifying one or more image characteristics of each of the plurality of images and repeating the execution of the image evaluation process on the modified plurality of images until at least the calculated statistical score is less than a pre-defined statistical score threshold.

Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.

The present disclosure relates to an information system, a method of providing information, and a respective electronic device. The electronic device is operable to provide an information to a user being indicative of a user device. The electronic device comprises: a processor to process a user request, a user interface to communicate with the user, and an electronic storage connected to the processor. The processor is operable: to extract at least one keyword from the user request, to select at least one information content from a content database on the basis of the at least one extracted keyword, and to provide the at least one selected information content to the user via the user interface.

An electronic device may include a wireless communication circuit, a memory, and a processor. The memory may store instructions that allow, when executed, the processor to: obtain context information associated with the state of the electronic device, and contents information being provided by the electronic device; extracting first keywords on the basis of the context information and the contents information; analyze the keyword level for the first keywords; changing the first keywords into a superordinate concept according to preset keyword levels to obtain second keywords; and transmit the second keywords to at least one server by using the wireless communication circuit. Other various embodiments identified through the specification are possible.

The present disclosure is generally directed to the generation of domain-specific, voice-activated systems in interconnected networks. The system can receive input signals that are detected at a client device. The input signals can be voice-based input signals, text-based input signals, image-based input signals, or other type of input signals. Based on the input signals, the system can select domain-specific knowledge graphs and generate responses based on the selected knowledge graph.

A server system and methodology include the following operations. A request for tags associated with a resource is received from a tag widget associated with the resource. Responsive to the request, a tag weighting engine is executed that identifies the tags and determines, respectively, individual overall weighting factors for each of the tags. The tags and associated overall weighting factors are forwarded to the tag widget within the client. The individual overall weighting factors for a particular tag is based upon a combination of weighting factors including a context weight factor for the particular tag. The context weighting factor for the particular tag is based upon a past context for the particular tag specified by a past user and an active context in which a user of the tag widget is operating.

To improve precision while maintaining a balance between accuracy and comprehensiveness of a document search. According to one embodiment of the present invention, a document search device includes an input reception unit configured to receive an input of a keyword of a document search, a document search unit configured to acquire, from a document, a hit character string matching a character string in which a portion of characters of the keyword is replaced with a wildcard, and character strings before and after the hit character string, and compute a likelihood of the hit character string, based on the hit character string, and the character strings before and after the hit character string, and a search result display unit configured to output a result of the document search based on the likelihood.

A method for outputting a search result includes: executing a reception process that includes receiving a search query for target data; executing a candidate item identification process that includes referring to index information associating each of a plurality of items included in the target data with a position of a corresponding one of the items, and identifying a first storage area configured to store an item corresponding to a keyword included in the search query; and executing an addition process that includes when a description included in the corresponding one of the items includes a reference to a different item, referring to the index information, and adding information on a second storage area configured to store the different item to the reference to the different item.

Computer-implemented systems and methods for efficiently searching large data volumes for one or more items with a definable degree of similarity. The systems and methods may include functionality directed to selecting at least one token from the one or more tokens in a target item, the token including an identifiable character string defining, fully or partially, at least one of a name, an address, an entity or other identifier associated with the target item; extracting a character from the identifiable character string after the character string is standardized to a known common version of the character string; responsive to a character distribution lookup, determining that the extracted character corresponds to a first shard from among a plurality of discrete shards; and grouping the item into the first shard, the character distribution lookup being adjustable overtime to provide for a balanced distribution of items across the plurality of discrete shards.

Provided is an information search system that enables a searcher to efficiently find information they want to know, the system including: a database (12) that stores a plurality of pieces of information that are text-searchable; a query sentence acceptance unit (26) that accepts a query sentence in a natural language format; an inputted search keyword extractor (44) that extracts an inputted search keyword from the query sentence; a retrieval executor (40) that executes retrieval processing from the database using the inputted search keyword, along with a keyword relevant to the inputted search keyword; and a keyword dictionary (30) in which words associated with categories are registered, wherein the retrieval executor acquires, from the keyword dictionary, words associated with one of the categories selected by a searcher, re-sorts information retrieved as a result of the retrieval processing, based on the acquired words, and displays the information to the searcher.