Why is it important to search for undeclared patents?
How to access the undeclared patent search
Searching for undeclared patents on the IPlytics Platform involves leveraging advanced machine learning techniques that are cross-checked for matching performance by SEP holders to identify patents that are potentially essential to specific technology generations where patents have not been formally declared.
Why is it important to search for undeclared patents?
This process is crucial for gaining a comprehensive understanding of the patent landscape, particularly in technology sectors where patent declarations are not consistently reported. By identifying potentially essential undeclared patents, users can uncover hidden risks and opportunities, enhance their competitive analysis, and make more informed strategic decisions. This approach helps ensure that organizations are aware of all relevant patents that may impact their operations, licensing strategies, or innovation efforts.
How does the process work?
The IPlytics Platform utilizes the LexisNexis classification technique, a supervised machine learning tool, to identify undeclared patents. The process starts with developing a trained classifier using both true positive examples (such as pooled patents) and true negative examples (patents unrelated to the standard). This training data helps construct a comprehensive technology landscape that includes both SEPs and non-SEPs.
The undeclared patent landscape is based on the following steps:
1. Define the Scope: Begin by defining the scope of the technology area you are interested in. This includes identifying relevant keywords, concepts, and any themes that should be excluded. Providing a technology brief and examples of positive and negative data can help refine the search criteria.
2. Initial Classifier Building: The initial phase involves uploading a pre-populated set of positive training patents and identifying similar patent families to source a negative training set. This helps the algorithm distinguish between closely related technologies.
3. Evaluation and Feedback: The classifier is evaluated by internal experts to ensure it accurately captures relevant patents. Feedback from SEP holders is also incorporated to assess the quality and recall rates of the identified patents.
4. Refinement: Based on the feedback, the classifier is refined to improve its precision and ensure it aligns with the defined scope of the project.
5. Search Execution: Once the classifier is finalized, it is integrated into the IPlytics Platform. Users can then execute searches to identify undeclared patents within the specified technology landscape. The platform allows users to filter results by various criteria, such as the semantic essentiality score (SES), to further refine the search.
IPlytics has developed patent landscapes for undeclared patents in areas such as QI, video coding (AVC, HEVC, VVC) and Wifi (Wifi 4, Wifi 5, Wifi 6).
How to access the undeclared patent search
To access the undeclared patent search, you need to select one of the technology generations for which the undeclared patent landscape is available. If you select one of the technology generations next to the search button, an arrow will appear, allowing you to choose whether to search for declared patents only or to include relevant undeclared patents. If you select “Relevant undeclared patents included,” the search will include all patents identified by our undeclared patent approach:
The result list will provide you the complete landscape, offering a comprehensive view of the patent landscape: