Abstract:
A method for providing a technology trend displayed on a technology lifecycle graph, which is performed by a technology trend providing system, is provided. The method includes (a) obtaining year-specific stages or year-specific representative principal agents with respect to a specific technology displayed on the technology lifecycle graph; and (b) displaying the year-specific stages or the representative principal agent in each year with respect to the specific technology on the technology lifecycle graph. Thus, according to the present invention, it is possible to provide the year-specific stages and the year-specific representative principal agents with respect to each technology displayed on the technology lifecycle graph.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
An apparatus and method of searching and visualizing an instance path. The method includes receiving two or more keywords and path search condition; generating a pair of instances with respect to the keywords, extracting a pair of classes corresponding to each of the pairs of instances from ontology instance database; obtaining an ontology schema path with respect to each of the pairs of classes from ontology schema path database; replacing start and end classes with corresponding first and second instances in each of the ontology schema paths and searching for instance path corresponding to the path search condition from the instance paths connected between the first instance and the second instance; outputting instance path display screen on which the searched instance paths are displayed; and if the path search condition changes through the instance path display screen, obtaining and visualizing instance paths corresponding to the changed path search condition.
Abstract:
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.
Abstract:
A stage determination apparatus including storage and processor includes: a bibliographic database integrating heterogeneous resources; a feature-set creation module calculating feature values of predefined features by searching the bibliographic database, and creating a feature-set of each technology using the feature values, for technologies on technology lifecycle; an answer feature-set creation module calculating a common feature value of feature sets of technologies belonging to the same stage in the technology lifecycle and creating an answer feature-set of each stage; a stage determination module that, if a technology is inputted, acquires feature values and creates a feature-set for predefined features by searching the bibliographic database for the technology, compares a corresponding feature value in the feature-set of the technology with a feature value according to a feature selection flow in a previous decision tree according to the feature selection flow, and determines a stage having a feature value finally selected according to the feature selection flow as a stage where the technology belongs to in the technology lifecycle.
Abstract:
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.
Abstract:
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.
Abstract:
A DBMS-based knowledge extension and inference service system comprises a knowledge creating unit that creates knowledge represented as a triple by using ontology schemas and instances; a knowledge extension processing unit that receives the knowledge created by the knowledge creating unit and extends the knowledge by using a knowledge extension rule; and an inference service providing unit that uses the knowledge extended by the knowledge extension processing unit and converts and processes a user query so as to provide an inference service. In the DBMS-based knowledge extension and inference service system, ontology is used to create knowledge, the knowledge is extended by using an extension rule, and an inference service is provided through query processing, thereby proposing a framework which is stable and effective in all fields where the Semantic Web is utilized and an inference service needs to be provided. Therefore, it is possible to achieve the common use of the Semantic Web service.