The basic functions of Patent Integration Business, Academic, and Corporate License are as follows.
|Searchable count / day||Unlimited|
|Supported databases||Japan-US-Europe WO stand||You can search for patents of major countries in Japan, the United States, Europe, international publication, and Taiwan at the basic rate.|
|Boolean search items||More than 60 types||You can search for patents by combining general search items such as filing date, publication date, registration date, inventor, applicant, abstract, claims, full text, various patent classifications, and legal status. ..|
|Neighborhood search / fuzzy search||○|
|Semantic search / similar search||○|
|Number of populations to be analyzed||Unlimited|
|Number of types of items to be analyzed||About 50 types||Supports general items such as filing date, publication date, registration date, inventor, applicant, abstract, claims, full text, various patent classifications, legal status, etc.|
|Patent score||PI score (+ |-)||This is a unique score of patent integration according to the breadth of the scope of rights (claims)|
|Save search conditions to server||Unlimited|
|User evaluation||Patents found in the process of patent search and analysis, and each search set can be managed by assigning user evaluations such as ranks, bookmarks, bookmarks, and memos.|
|・ Rank||Unlimited||Search result patents can be evaluated on a 5-point scale and filtered from the search results|
|・ Bookmark||Unlimited||Search results Patents can be tagged with any bookmark and filtered from the search results|
|・ Bookmark||Unlimited||Search result patents can be tagged in three stages: candidate, next candidate, and exclusion, and filtered from the search results.|
|・ Memo||Unlimited||Search results You can record a memo for a patent and search / filter by the contents of the memo.|
|Analysis result export||Unlimited||Patent landscapes, patent maps, text mining results, etc. can be exported in image format (jpg, png) and list format (CSV format).|
|CSV download||10,000||You can download various items such as the filing date, applicant, inventor, and applicant of the patent search results in list format (CSV).|
|PDF download||10,000||You can download the patent search results in PDF format.|
|Download items||About 60 types||Supports general items such as filing date, publication date, registration date, inventor, applicant, abstract, claims, full text, various patent classifications, and legal status.|
|Patent Landscape||○ (unlimited)||This function allows you to visually visualize the position of each technology and company for a search set of up to 50,000 items.|
|Patent map function||○ (unlimited)||For any search group, you can aggregate based on the number of cases, the number of citations, etc. There is no limit to the number of analyzes.|
|Text mining function||○ (unlimited)||This function visually visualizes up to 1,000 patent sets based on similarity.|
Users can combine patent classification, patent filing date of the patent document summary, claims and detailed description, to perform a patent search.
Visualizes patents population on the basis of similarity of each patent. This enables users to understand the patents population easily and easy to exclude noise documents.
Create rich patents chart of several hundreds to million patents by assignee or patent classification etc...
Read full text patents next to original pdf document. Useful tab browsing environment. Powerful keyword highlighting and claim charting.
This video introduces various patent search functions such as simple search, semantic search, advanced search, and similar patent search.
In this video, we will introduce the procedure for visualizing the patent search set by patent landscape, especially the technical position.
In this video, we will introduce the procedure for counting the transition of the number of patent applications using the patent map function and the procedure for confirming the transition of the number of patent applications.
In this video, we will introduce the procedure for visualizing patent search sets and technology clusters using the text mining function.