Korea Institute of Science and Technology

Korea Advanced Institute of Science and Technology

Seoul National University

Korea Research Institute of Bioscience and Biotechnology

Mi Kyung Lee

Seung Woo Lee

Pyung Soon Kim

Han Min Jung

Won Kyung Sung

Dong Min Seo

Dong In Park

Sun Hwa Hahn

Jung Sun Yoon

Du Seok Jin

Ki Bum Kim

Jae Han Kim

Byong-Seok Choi

Janghyun Lee

Suk-Jo Kang

Beom Jong You

Eun Byeol Park

Dong Kyu Kwak

Hong Sik Chae

Seung Wook Chi

Ji Hyang Ha

The present invention relates to a method for screening protein-protein interaction inhibitors using a nanopore, a method for analyzing protein structures, a method for analyzing protein-protein interactions, and a kit therefor.

Analysis method of protein-protein interaction and a screening method of protein-protein interaction inhibitors using a nanopore

The present disclosure provides an RNA oligonucleotide having a helical bend structure and a use thereof. Specifically, double strands formed by a complementary binding of two sequences have a helical bend structure in the RNA oligonucleotide. The RNA oligonucleotide can increase the expression of interferon-&#x3b2; or ISG56 and thus can be used as an immune system enhancer.

RNA oligonucleotide and immune system enhancer comprising same

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

Disclosed herein is a multi-entity-centric integrated search system and method. The multi-entity-centric integrated search system includes an entity information acquisition server for receiving and analyzing a query term and determining entities and types of entities, and an integrated search result provision server for configuring an integrated search results page using results acquired from unit service calling units, such as an external API calling unit, a search engine calling unit, and an inference engine calling unit, and presenting integrated search results. The present invention is advantageous in that precise search results can be shown more rapidly, satisfaction with search results for a query term in which multiple entities coexist can be improved, the ambiguity of query terms is overcome, and an open platform capable of operating in conjunction with various types of web services is provided.

Multi-entity-centric integrated search system and method

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

The present invention relates to a semantic service applying system and a method, comprising: a semantic service pipeline manager which demands and receives a particular semantic service pipeline to and from a semantic service server, and stores the corresponding pipeline in a database to manage the stored pipeline; a semantic service pipeline provider which extracts corresponding semantic service pipelines and sends the extracted pipelines to the corresponding service server if the user requests at least one of a plurality of semantic service pipelines to be provided; and a database which stores information associated with a semantic service pipeline providing server as well as the semantic service pipelines, and thus various ontology-based semantic services can be applied to the web.

Semantic service applying system and method

An efficient reasoning system and method using a view in a DBMS-based RDF triple store are provided. The DBMS-based reasoning system includes a triple input unit for receiving a Resource Description Framework (RDF) triple. A triple examination unit examines whether the received triple conforms to RDFS subsumption relation entailment rules or Web Ontology Language (OWL) inverse relation rules. A view creation unit creates a table view when the received triple conforms to the RDFS subsumption relation entailment rules or the OWL inverse relation rules as a result of the examination. A triple storage unit stores the received triple. The DBMS-based triple store can efficiently perform reasoning based on rule rdfs7 or rdfs9, which is included in the RDFS subsumption relation entailment rules, and the OWL inverse relation rules.

System and method for efficient reasoning using view in DBMS-based RDF triple store

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.

Growing community of inventors

Daejeon, South Korea

Mi Kyung Lee