Every day, employees are faced with difficulties of finding information and resources they need to get the job done. By introducing a search engine with powerful functions that meet their needs, not only does this significantly save enterprises time and manpower cost, but also allows knowledge workers to focus on the main tasks at hand, enhancing their contributions and value to the company.

 

The Sol-Pilot Knowledge Search Portal is an optimized internal integration solution. By utilizing a thesaurus-free tokenization technology, end-users are able to index diverse information sources and multiple file formats, thereby generating an optimized search mode as the foundation of search operations. In addition, this solution makes effective use of intelligent aids and visual presentation, thus providing users with an intuitive, speedy and accurate search experience.

 

•Multivariate query modes: In addition to the usual full-text search function, we also provide end-users with a thematic query function that makes use of accurate, fuzzy and natural semantics. This technology provides the most appropriate method of query by allowing end-users to search according to their level of knowledge on the subject in question.

 

• Diverse summary modes: End-users can selectively use information according to its characteristics by providing summaries, such as the first line, dynamics and main points. In this way, end-users can use different summary modes to quickly determine whether the content is applicable or not.

 

• Fault-tolerant query mechanism: A Chinese optimization mechanism that makes use of Chinese homophones, Chinese-English synonyms, traditional-simplified translations, etc. This technology can raise end-users’ fault-tolerance when making queries, thereby reducing the rate of obtaining “no results found” due to erroneous input.

Post-completion classification: End-users can make use of query results to conduct reverse-archive statistical classifications under fields such as the source, file format, time point, author(s), etc. By quickly narrowing the search scope, it makes searching much easier for end-users.

 

• Dynamic classification suggestion: The technology renders end-users the suggestive query terms that are more precise and specific than the original queries. Not only does this offer end-users query suggestions, it can also effectively reduce the search scope and make the results more precise.

 

• Smart correlation suggestion: Analyzes the query keywords and identifies any other highly-related vocabulary in the search results to ensure that end-users can fully grasp the complete vocabulary associated with the specific topic.

 

• Extends reading functions by deducting from content analysis methods. When end-users browse through some particular information content, this technology will prompt them about other information on similar topics.

 

• Time series statistical classification categorizes according to different temporal units, and presents in a graphical way. End-users can then clearly understand the information on the topic through identifying the changing trends over a specific time frame, thereby untangling the intricacies.