Korea Institute of Science and Technology

Lg Energy Solution, Ltd.

Dong Min Seo

Seung Woo Lee

Pyung Soon Kim

Han Min Jung

Won Kyung Sung

Mi Kyung Lee

Mi Kyoung Lee

Min Su Kim

Jong Seok Park

Eun Ji Jo

Seol Hee Kim

Wi Dae Park

A battery manufacturing method according to the present disclosure includes generating a virtual identifier (ID) corresponding to a battery cell, shifting the virtual ID according to a progression of processes included in a process line for the battery cell, storing the shifted virtual ID and associating the shifted virtual ID with process data generated for the battery cell, extracting a cell ID for the battery cell, and matching the process data associated with the shifted virtual ID with the cell ID, and transmitting the process data to an upper control system.

Battery manufacturing method and battery manufacturing system

An apparatus and method of searching for an instance path based on an ontology schema are provided. The method of searching for an instance path based on an ontology schema, which is performed by an instance path search apparatus, includes (a) receiving two or more keywords from a user and generating a pair of instances with respect to the keywords, respectively, (b) extracting a pair of classes corresponding to each of the pairs of instances from an ontology instance database, respectively, (c) obtaining an ontology schema path with respect to each of the pairs of classes from an ontology schema path database, respectively, and (d) replacing start and end classes with corresponding first and second instances in each of the ontology schema paths and searching for an instance path connected between the first instance and the second instance, respectively.

Apparatus and method of searching for instance path based on ontology schema

A personalized service system and method based on an ontology is provided, in which if a user selects a personalized service while a subject or an object in a user profile ontology of user's personal information is associated with a subject or an object of a personalized service ontology through a relationship name, the system and method searches for a personalized service ontology corresponding to the selected personalized service, acquires personal information of an instance form in the user profile ontology associated with the personalized service ontology, executes the personalized service by applying the acquired personal information, and provides the user with a result of the execution.

Personalizing service system and method based on ontology

A method and apparatus for storing a triple and an inference dependency indexing apparatus appropriate to the method and system are provided. The method of storing a triple related to an inference method for creating other triples by applying an inference rule to the triple includes: (a) adding a serial number to each of triples and inference rules related to inference and storing the triples and the inference rules into a plurality of triple tables and inference rule tables; (b) indexing a triple inferred by applying the triple and the inference rule, using a serial number of the triple and a serial number of the inference rule related to inference; and (c) creating a triple view which allows accessing the triples physically distributed and stored in a plurality of triple storage units (tables) as if the triples are stored in a virtual storage unit (table).

Method and device for saving triple for verifying reason and incremental reasoning, and method and device for reason-dependent indexing appropriate for same

An apparatus and method of searching and visualizing an instance path, which can search for a path between class-based instances and effectively display a path between two or more instances in order to rapidly search for diverse and complex relationships and search for a relationship between instances based on a relationship between classes in order to avoid comparison between the relationship being searched and the relationship of unnecessary objects when comparing the relationship between instances, are provided.

Apparatus and method of searching and visualizing instance path

A mining rule database update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a mining pattern generation module recognizing terminology from text and converting the terminology into the mining pattern; a named entity and mining rule search module searching for a corresponding named entity and a mining rule from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a mining rule database update module estimating a relationship name using a named entity of the recognized terminology and the ontology schema, generating a corresponding mining rule, and storing the generated mining rule in the mining rule database depending on a user's selection.

Named entity database or mining rule database update apparatus and method using named entity database and mining rule merged ontology schema

A technology transition visualization apparatus includes: bibliographic database integrating heterogeneous resources; technology information database storing information in technology lifecycle; interface module receiving technology from user; feature set creation module calculating feature values by searching bibliographic database and creating feature set for each technology; answer feature set creation module calculating common feature value of feature sets of technologies belonging to the same stage in technology lifecycle and creating answer feature set of each stage; stage determination module acquiring feature-related information, creating representative feature set and year-specific feature set of technology, determining representative stage or year-specific stage by comparing the representative feature set or year-specific feature set with the answer feature set, and estimating development speed of the technology; visualization module visualizing the technology lifecycle; and year-specific stage acquisition module acquiring current stage, year-specific stage and estimated next stage of the technology and visualizing the stages.

Apparatus and method for visualizing technology change

A mining rule database update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a named entity and mining rule search module searching for a corresponding mining rule and a named entity from the mining rule database and the named entity dictionary using a terminology included in an inputted mining pattern and the mining pattern; and a mining rule database update module estimating a relationship name using a named entity of the terminology and the ontology schema, generating a corresponding mining rule, and storing the generated mining rule in the mining rule database depending on user's selection.

RDF network construction device and method using an ontology schema having class dictionaries and mining rules. The RDF network construction device includes an ontology schema storing module, a class managing module, a mining rule managing module, a mining pattern creating module, and an RDF triple creating module.

Resource description framework network construction device and method using an ontology schema having class dictionary and mining rule

Stage determination apparatus including storage and processor includes: bibliographic database integrating heterogeneous resources; feature-set creation module calculating feature values of predefined features by searching the bibliographic database, and creating feature-set of each technology using the feature values, for technologies on technology lifecycle; answer-feature-set creation module calculating common feature value of feature sets of technologies belonging to the same stage in the technology lifecycle and creating answer-feature-set of each stage; stage determination module that, if technology is inputted, acquires feature values and creates feature-set for predefined features by searching the bibliographic database for the technology, compares corresponding feature value in the feature-set of the technology with feature value according to feature selection flow in previous decision tree according to the feature selection flow, and determines a stage having feature value finally selected according to the feature selection flow as a stage where the technology belongs to in the technology lifecycle.

Apparatus and method for stage judgment using of technology life cycle

A named entity dictionary update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a named entity and mining rule search module searching for a corresponding mining rule and a named entity from the mining rule database and the named entity dictionary using a terminology included in an inputted mining pattern and the mining pattern; and a named entity dictionary update module estimating a named entity of the terminology using the mining rule and storing the estimated named entity of the terminology in the named entity dictionary depending on user's selection, if a named entity corresponding to the terminology is not searched from the named entity dictionary and the mining rule corresponding to the mining pattern is searched from the mining rule database.

A module determining a named entity of terminology includes a named entity dictionary and mining rule database storing the named entity dictionary where named entity of terminology combined with the ontology schema and connected to concept is defined, and a mining rule database where a mining rule configured with mining pattern and RDF triple combined with the ontology schema and connected to relationship name is defined; a named entity and mining rule search unit searching for corresponding mining rule and named entity from the mining rule database and the named entity dictionary using inputted mining pattern and terminology included in the mining pattern; and a names entity selection unit selecting, if two or more named entities corresponding to the terminology are searched, named entity matching to the concept configuring the RDF triple of the searched mining rule as named entity of the terminology among the searched named entities.

Module and method for searching named entity of terms from the named entity database using named entity database and mining rule merged ontology schema

An apparatus and method for updating a named entity dictionary or a mining rule database using the named entity dictionary and a mining rule combined with an ontology schema is provided. The apparatus includes a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a mining pattern generation module recognizing a terminology from a text and converting the terminology into the mining pattern; a named entity and mining rule search module searching for a corresponding named entity and a mining rule from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a named entity dictionary update module estimating a named entity of the terminology using the mining rule and storing the estimated named entity of the terminology in the named entity dictionary depending on a user's selection.

A module and method for determining a named entity of a terminology using a named entity dictionary and a mining rule combined with an ontology schema is provided. The module includes a named entity dictionary and mining rule database storing the named entity dictionary and a mining rule database; a mining pattern generation unit recognizing a terminology from a text and converting the terminology into a mining pattern; a named entity and mining rule search unit searching for a corresponding named entity and a mining rule respectively from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a names entity selection unit selecting, if two or more named entities corresponding to the recognized terminology are searched, a named entity matching to the concept configuring the RDF triple of the searched mining rule as a named entity of the terminology among the searched named entities.

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Daejeon, South Korea

Dong Min Seo