1. Problem Statement
Conventional search engines use keyword- or Algorithm-based search techniques, and often yield a large volume of indiscriminant search results with no regard to content. Consumers are then left with the burden of manually sifting through the search results to find the most relevant information.
KC Search is a knowledge- and linguistics-based search engine that yields specific and relevant results. KC Search technology delivers precise search results by matching knowledge extracted from search requests and search contents. With its linguistics-based search technology, KC Search offers corporate customers a way to obtain specific information in a time-efficient manner.
2. Technological Solution
KC Search extracts application-aware knowledge from search requests by using Knowledge Cells and business rules written in proprietary Intrinsic Knowledge Language and Behavior Specification Language, respectively. KC Search supports a wide array of search request formats—documents, paragraphs, sentences, phrases, and keywords—in conversational English. Using KC sequencing and extraction rules, KC Search then sequences search requests and extracts precise search results that best match the search requests.
3. KC Search Core Components
The success of KC Search relies on three major components: precision, expressiveness, and adaptability.
Precision
KC Search uses inherent knowledge embedded in a sentence—it is not limited by the use of keywords like conventional search engines. KC Search is a precision search technology that returns precise search results from expressive descriptions in natural English. A precision search begins by sequencing search requests and search contents into Parametric Knowledge. Using intrinsic knowledge relationships, industry-aware rules, customer-specific business rules, and customized match factors, KC Search extracts search contents that are most relevant to search requests. The extraction of Parametric Knowledge from search requests lays the foundation for selecting the most relevant search results.
The Knowledge Sequence Engine sequences search requests, and the Knowledge Extraction
Conventional search engines use keyword- or Algorithm-based search techniques, and often yield a large volume of indiscriminant search results with no regard to content. Consumers are then left with the burden of manually sifting through the search results to find the most relevant information.
KC Search is a knowledge- and linguistics-based search engine that yields specific and relevant results. KC Search technology delivers precise search results by matching knowledge extracted from search requests and search contents. With its linguistics-based search technology, KC Search offers corporate customers a way to obtain specific information in a time-efficient manner.
2. Technological Solution
KC Search extracts application-aware knowledge from search requests by using Knowledge Cells and business rules written in proprietary Intrinsic Knowledge Language and Behavior Specification Language, respectively. KC Search supports a wide array of search request formats—documents, paragraphs, sentences, phrases, and keywords—in conversational English. Using KC sequencing and extraction rules, KC Search then sequences search requests and extracts precise search results that best match the search requests.
3. KC Search Core Components
The success of KC Search relies on three major components: precision, expressiveness, and adaptability.
Precision
KC Search uses inherent knowledge embedded in a sentence—it is not limited by the use of keywords like conventional search engines. KC Search is a precision search technology that returns precise search results from expressive descriptions in natural English. A precision search begins by sequencing search requests and search contents into Parametric Knowledge. Using intrinsic knowledge relationships, industry-aware rules, customer-specific business rules, and customized match factors, KC Search extracts search contents that are most relevant to search requests. The extraction of Parametric Knowledge from search requests lays the foundation for selecting the most relevant search results.
The Knowledge Sequence Engine sequences search requests, and the Knowledge Extraction
Engine extracts knowledge from the sequenced search request. This creates Parametric Knowledge which contains parametric data extracted from the sequenced search request. KC Search then calculates and delivers the most relevant search contents to its corporate customers.
Expressiveness
KC Search implements a variety of different formats—documents, paragraphs, sentences, phrases, and keywords in natural English—in its search requests to capture the unique linguistic characteristics that exist in natural language.
The Knowledge Sequence Engine sequences search requests into orthogonal linguistic tokens and Knowledge Cells. The Knowledge Extraction Engine applies Knowledge Extraction Rules, and extracts application-aware knowledge from search requests using conversational English.
Adaptability
KC Search is a precision search technology that was built for corporate search engines, and was designed to adapt to existing corporate infrastructure. Using industry standard protocols, KC Search can receive search requests from existing devices, and can deliver precise search results to those original devices.
KC Search adapts to existing infrastructure by using standard, industry protocols. Using APIs, search requests are routed to KC Search for Knowledge Extraction. Extracted knowledge from the search requests is then calculated against the Knowledge Base which contains the extracted knowledge from the search contents.
Precise results are then returned to the requesting device. Consequently, KC Search adapts to existing infrastructure and delivers precise search results without disrupting on-going business transactions.
Expressiveness
KC Search implements a variety of different formats—documents, paragraphs, sentences, phrases, and keywords in natural English—in its search requests to capture the unique linguistic characteristics that exist in natural language.
The Knowledge Sequence Engine sequences search requests into orthogonal linguistic tokens and Knowledge Cells. The Knowledge Extraction Engine applies Knowledge Extraction Rules, and extracts application-aware knowledge from search requests using conversational English.
Adaptability
KC Search is a precision search technology that was built for corporate search engines, and was designed to adapt to existing corporate infrastructure. Using industry standard protocols, KC Search can receive search requests from existing devices, and can deliver precise search results to those original devices.
KC Search adapts to existing infrastructure by using standard, industry protocols. Using APIs, search requests are routed to KC Search for Knowledge Extraction. Extracted knowledge from the search requests is then calculated against the Knowledge Base which contains the extracted knowledge from the search contents.
Precise results are then returned to the requesting device. Consequently, KC Search adapts to existing infrastructure and delivers precise search results without disrupting on-going business transactions.
KC Search Technology
