[IN2] Platform provides user environment optimized semantic based information search, text mining and knowledge processing solution customized type of on demand method.

Concept of [IN2]Platform
• [IN2], short form of INside INformation, is an integrated information operation system that helps effective access and manage knowledge asset deep inside the information of an organization.
• [IN2] is rooted on ontology that is a high accuracy NLP technology, information mining technology and knowledge/semantic express system, and semantic web technology.
• [IN2], a Content Access Platform will improve customer’s ROI through providing hi quality information search of unstructured knowledge assets, knowledge information analysis and mining, taxonomy building, knowledge information expression and visualization function.
• DOR engine of [IN2] provides method to rapidly and effectively assess and manage various types of knowledge information contents such as structured information stored in DB, text based unstructured information, and atypical knowledge assets such as graphs, tables and figures.
• TMS engine of [IN2] provides information mining services such as extraction, summarization, automatic classification and clustering of knowledge and information crossing over the contents search of knowledge and information.
• Ontology processing, reasoning engine and the next generation search and context awareness solutions of [IN2] Platform are essence of Saltlux technology.

Necessity and Introduction Effects of Content Access Platform

Effective management of knowledge information and excellent accessibility
• According to the development of information society to knowledge society, integration of various types of data, information and knowledge, and secure to access these factors becomes more important.
• Content Access Platform [IN2] provides effective integration management and excellent accessibility of data, knowledge and information. Enterprises enable to effectively integrate, analyse and access to data and unstructured contents through [IN2], and will prepare the countermeasure through rapid discovery of problems in an organization.

Semantic based hi quality knowledge information search and mining
• Explosively increasing knowledge make it difficult to effectively prepare the countermeasure to the information quantity by the currently available information search technology. Through application and integration of mining technology to the hi quality information search technology [IN2] provides method of rapid and easy access to the hi quality essence information and contents.
• To express and manage the semantic/ knowledge based information incorporation and search, [IN2] has applied text mining technology based on hi quality language analysis and ontology based semantic web technology.

Practical improvement of ROI thru content share
• In the business field like call-center and e-commerce ROI is usually depended on the accuracy and speed of correspondents. [IN2] will help enterprises to reduce cost and to accordingly increase sales by rapid and accurately access by customer to the necessary knowledge and information.
• Content Access Platform enables enterprises and government organization to cost-effectively build information system through effective integration without damages and changes of current information systems.

[IN2] Platform Architecture



BRIDGE BLOCK
• Connection of [IN2] platform to outer systems is provided. Bridge Block includes knowledge acquisition module for construction of knowledge base of [IN2], action set-up, log management, security process and contents visualization.
• Knowledge Visualization is used to visualize the results of information search and knowledge mining and provides visualization tools such as Contourmap, concept map in interactive types.
• Knowledge Acquisition is constituted by Focused Crawler that collects intellectual information in web, content capturer that supports images, voices and pan interface, and the Multimodal interaction Module.

ALES & MISC BLOCK
• ALES, a short form of Advanced Language Engineering Solution, includes all the functions for processing Asian language process in addition to Korean and English such as morpheme analyzer, Sentence analyzer, language bundle, dictionaries.
• As a MISC Block This has lower structure for indexing individual storage.

SEMFRA Block
• SEMFRA is Semantic Infrastructure. [IN2] provides series of semantic related functions such as ontology process, N-Triple storage management, reasoning and logic programming.
• Ontology Studio: Software toll providing various functions for ontology engineering, not for simply creating OWL or RDF document.
• Semantic Annotator: [IN2]Semano enables to semantic information search from quantity of text documents base don the NLP and information search technology, and to semi-automatically create the ontology instances.
• Reasoning & Query Engine: Reasoning and query engine based on the world best Description Logic (DL), SWRL, SparQL and F-Logic in [IN2]Platform.
• Semantic Repository: Stores and manage the huge units of knowledge stored in triples of RDF.

DOR Block
• Document Object Retrieval (DOR) is a system that effectively search and share the structured and unstructured information in huge quantity.
• Query Manager: Enables to ideally search the user input query language after analysis. Queries in unit of word, logic combination of it, natural language sentence, example based query are all possible.
• Searcher & Ranker: Accomplishes function of search of information stored in index files. It includes optimization function for effective search of user’s query.
• Index Agent: Accomplishes intellectual information collection and indexing from the dispersed and heterogeneous information sources.
• DO Parser/N&H Ctrl: This the function of navigation and highlighting of various types of documents to search individuals through analysis of documents.

TMS Block
• IE system: Accomplishes information extraction function from huge amount of unstructured documents. High performance was achieved through hybrid application of statistics, dictionaries and rules.
• Summarization system: Helps automatic summarization of huge number of documents speedy discover of needed information and summarized share and management.
• Clustering system: Helps to access and share the similar concerned information through automatic clustering of documents with similar information.
• Classification system: Provides automatic classification of numerous documents in accordance with the classification system defined by user