High Quality Search Result
High Quality Search Result
Furthermore, SF-1-R term proximity and relation factor to improve over traditional keyword matching algorithms to bring the high quality search result.
SF-1 supports the world's most advanced system ranking algorithm. In addition, it also allows users to customize their own advanced search options for different sorting and filtering strategies. SF-1 innovates on the integration of approximate matching technique and correlation factor technique, so that the accuracy of keyword-matching algorithm and the quality of search results are greatly improved.
Multitude Data Resource Support
The SF-1 target data collection system is a high performance enterprise-class data collection system. It can be configured to collect data on a variety of data sources, including structured and unstructured documents. For example, it could gather structured data based on relational database products such as EDMS, Oracle, MSSQL, MySQL, DB2, Informix, Sybase and Altibase etc. It could gather unstructured documents in document systems such as web documents, Word, Excel and PPT as well.
The SF-1 target data collection system is a high performance enterprise-class data collection system. It can be configured to collect data on a variety of data sources, including structured and unstructured documents. For example, it could gather structured data based on relational database products such as EDMS, Oracle, MSSQL, MySQL, DB2, Informix, Sybase and Altibase etc. It could gather unstructured documents in document systems such as web documents, Word, Excel and PPT as well.
Massive Data Mining Support
SF-1 supports massive data mining and semantic analysis based on texts, discovers the underlying concepts, semantic entities and relationship between keywords in the texts. According to the semantic knowledge of data mining, SF-1 provides a series of smart tools to get smart search results, for example, category navigation. This is one of the main characteristics of data mining of SF-1’s. Category navigation can provide various perspectives of knowledge with the keyword as the core and observe the search result documents from these perspectives of knowledge. The search results are divided into different subsets according to different perspectives of knowledge. Different subsets and perspectives of knowledge with the keyword as the core have a relationship from different perspective between near and far. These knowledge-based views of search results in different subsets can provide users with search results navigation from different perspectives. Based on such classification navigation, users could quickly locate subsets of search result contents that they’re interested in. And at the same time, this’ll help users narrow their search range so that they could quickly find the documents they need.
Real-time Update and Search
New information is being produced all the time in those companies that update their data frequently. There’s no need for SF-1 to restart the search for information updating. SF-1 could support changes in real-time data results. In addition, users’ accesses to SF-1 is also real-time, they could get the latest updated data through their search.
New information is being produced all the time in those companies that update their data frequently. There’s no need for SF-1 to restart the search for information updating. SF-1 could support changes in real-time data results. In addition, users’ accesses to SF-1 is also real-time, they could get the latest updated data through their search.
Fine-Grained Access Control
SF-1 provides strict access control to guarantee the data safety inside an enterprise. It provides the access control based on fine-grained documents. If the end user isn’t authorized corresponding document rights, the search results wouldn’t show the unauthorized documents. Various user groups and the authorization policy could be configured according to the specific needs of the customers. Different document filtering methods could also be set to avoid certain users from access to specific contents.
SF-1 provides strict access control to guarantee the data safety inside an enterprise. It provides the access control based on fine-grained documents. If the end user isn’t authorized corresponding document rights, the search results wouldn’t show the unauthorized documents. Various user groups and the authorization policy could be configured according to the specific needs of the customers. Different document filtering methods could also be set to avoid certain users from access to specific contents.
Scalable Distributed Architecture
SF-1 is composed of three independent components: document indexing, data mining and query processing. Each component can be independently expanded, installed and deployed with no influence on other related components. The components could be separated or combined as well. And each component can also support the distributed expansion. In this way, the system can easily customize or design the system size and hardware requirements according to user's needs to meet the specific different demands of enterprises. It also support distributed on-line expansion.
SF-1 is composed of three independent components: document indexing, data mining and query processing. Each component can be independently expanded, installed and deployed with no influence on other related components. The components could be separated or combined as well. And each component can also support the distributed expansion. In this way, the system can easily customize or design the system size and hardware requirements according to user's needs to meet the specific different demands of enterprises. It also support distributed on-line expansion.
