CoreOnto Project
From Saltlux
Project introduction
Ontology is an expression of human knowledge in type of that computer understands. Schema and instances constitutes ontology. Schema is a tool for keeping information and instance is the actual concept and knowledge in the tool. For example, “Television will be digitally broadcasted” is schema, and “Jumong is digitally broadcasted by Bordeaux TV” is actual instance. 
Ontology constructed through schema and instances may be utilized for various software. Especially, ambiguity of words and concepts may be resolved intellectual software development is possible through reasoning. Ontology is used in various projects such as intellectual robot, home network and RFID/USN in addition to ubiquitous projects. However, when all of those projects construct and use their own ontology, there are similar concept in those ontology which is not the original objectives of ontology construction. And when there is a need to incorporate two of the project in one, ontology may have to build again. Accordingly, a nationally standardized and a mutually operational ontology construction is needed through integration.
“CoreOnto (Core Ontology) Project” is to build “national IT ontology” to meet this national IT need and for utilization for international guideline. National IT ontology is built those ontologies such as device, service and life in addition to IT core ontology on top of the basic ontology.
And the constructed national IT ontology may be utilized for various services such as u-life, ubiquitous IT service and IT knowledge portals, etc. 
Concept of CoreOnto infrastructure
Objectives of Project
Final objectives of the project is to build national IT ontology as a softinfraware and to develop ontology infrastructure technology and service system based on ontology. Ontology construction is the key and this must be inspected through development and utilization of inspection tool. Saltlux participates in development of the ontology instance creation and intellectual service system parts.
CoreOnto is a 5 year project and 2008 is the third year.
Accomplishment
- IT Core ontology design and building ontology of 50 thousands words
- Developed information retrieval for semi-automatic and automatic ontology building
- Context and vocabulary pattern based IT terminology retrieval tool (V1.0) developed
- Classification system building system (V1.0)developed
- IS-A relationship setting toolkit (V1.0) between classes developed
- Semantic relationship retrieval tool developed
- Developed ontology instance automatic creation tool(V1.0)
- Developed ontology instance creation software that grants IT ontology characteristic attributes
- Supports IT docs auto collection function by technology application of structured and unstructured information
- Supports structured/unstructured information retrieval function
- Supports instance OWL mapping function by application of ambiguity resolution technology
- Semantic information retrieval automation rate 75% (125% of target), instance creation automation rate 67% (134% of target)
- Developed OWL ontology reasoning engine v1.0
- Tableaux type based ontology reasoning engine development
- ALC level description logic process reasoning engine development
- TBox ontology reasoning technology development
- ABox ontology instance reasoning technology development
- Dependency directed backtracking optimization technology based ontology reasoning technology development
- Developed SWRL reasoning engine
- SWRL reasoning technology development using datalog based ontology reasoning technology
- KAON2 based SWRL reasoning engine development
- KAON2 based engine construction for SWRL process
- SWRL construction for IT ontology process
- Developed description logic (DL) based consistency inspection engine v1.0
- Pellet based consistency inspection tool development
- KAON2 based consistency inspection tool development
- Designed semantic portal for IT839 strategy field
- IT semantic portal service concept defined for utilization of reasoning function of IT ontology and reasoning engine and of automatic instance creation function
- Requirement analysis and system design for semantic portal POC(Proof Of Concept)
- Key scenario production of IT semantic portal service function
Year Two (2007)
- Document classifier
- Enables modular ontology construction through development of Wikipedia docs separation technology using quantitative matrix.
- Terminology related information retrieval and conceptualization of terminology
- Upward conceptualization technology development through relationship level calculation using terminology context information and clustering technology
- Downward conceptualization through selection of mapping results of SUMO/MILO+WordNet as basic ontology
- (Semi)automatic construction of IT ontology development using information retrieval technology
- Suggestion of concept classification system construction method of selection of upper concept of IT through mapping quantitative IT terminology into general thesaurus in upper ontology construction.
- Suggestion of ontology expansion method through thesaurus through terminology concept classification of constructed upper ontology and semantic classification on relationship between broad sensed language and narrow sensed language or broad sensed language and the related languages.
- Enables mark attachment of IS-A and semantic relationship on Wikipedia data by suggestion of quantitative automatic semantic mark attachment.
- Development of large scale data based ontology construction technology using semantic decision method of existing resources, process information and ontology based terminology.
- Enabled relationship classification automation after accumulation of trained data by construction of directive semantic classification tool in semantic classification using vocabulary information.
- Design and experiment of spiral model ontology construction inspection system
- Expectation of improvement for ontology automatic construction system function and for ontology quality
- Linkage construction between IT life and IT expansion ontology
- Easy integration between self constructed ontologies and between existing ontologies through selection of SUMO/MILO+WordNet as ontology.
- ALC based reasoning engine system using Tableaux algorithm(2 patents), hybrid ontology reasoning engine(1patent), semantic based recommendation search system according to user preference
- Ontology instance automatic creation tool V2.0 (OPTIMA 2.0) developed
- Ontology instance integration work bench V2.0 for GUI environment development (OPTIMA2.0)
- Server-client model considering dispersion process and multi users
- Quantitative ontology storage function support (SOR)
- Improvement of automatic crawling technology for structure (web docs and DB data)//unstructured(paper articles and reports) documents
- Hybrid style information retrieval using various mechanical learning
- Supports OWL and N-triple production of instance by application of machine learning based instance mapping technology
- Automation rate of semantic information retrieval 82.7% (103.4% of target), automation rate of instance creation 72.4% (121% of target)
- Developed prototype service broker
- Target is to develop service broker of the integrated platform for various service linkage and accomplishment based on IT ontology, and this prototype accomplishes ubiquitous home network linked with u-city as first step.
- Hybrid style ontology instance creator (V1.0) development개발
- Supports storage server for quantitative instances
- Information retrieval, ontology matching and instance management function multi client
- Construction of prototype of ubiquitous service broker based on national IT ontology
- Construction of broker prototype providing services that connect knowledge service middleware targeting home networks and telematics and intellectual traffic information providing middleware in ubiquitous environmental
R&D Project