PatentPia GoldenCompass(GC) core features and orientation
The core features of PatentPia GoldenCompass(GC) include i) one click analysis/visualization, ii) big data utilization, iii) AI/machine learning utilization, iv) business oriented, v) utilization oriented, and vi) shared/connected/evidence oriented.
We provide analysis contents that focus on the core features-orientations of PatentPia GoldenCompass, using Augmented reality keyword as a primary example and additionally Augmented Reality (AR; AR glass) technology classification as a secondary example. If you click on the chain(link) marks that are combined to each item in the above utilization map, the example page will open in a new window.
One click analysis/visualization
GoldenCompass provides various analysis and visualization contents with just one click.
One click analysis
100~2,500 kinds of analysis contents for input/selected items are provided with just one click on the menu.
If you click [Link] below the example screen, the example screen will be reproduced. Click through the various menus on the example page.
One click visualization
GoldenCompass provides various visualization charts for analysis results. Just click on the chart kind and it will generate and provide you with the kind of chart you clicked on.
Below is the result of selecting the Windrose chart in the example page above.
One click comparison analysis
GoldenCompass provides comparison analysis contents for multiple items with just one click.
One-click comparison analysis can be found in the Company Home. Comparison with companies provides analysis and visualization of up to 100+ comparisons for any company group.
There are two types of comparisons with companies: i) a given set of companies provided by PatentPia and others, and ii) a customized set of companies uploaded by users.
Utilization of Big Data
GoldenCompass is fully utilizing big data technology. By utilizing big data technology, we are able to provide a wide range of differentiated data and contents that were not previously available.
Keyword Data
Various big data technologies are utilized to extract, purify, translate, quantify, classify, group keywords and generate keyword related contents provided by GoldenCompass.
Below is an example of the rapidly growing products-parts keyword contents based on US patents for the company item "Apple" provided by GoldenCompass. The keywords contained in the US patents in possession of "Apple" are extracted, refined, and quantified to generate a list of rising keywords. The keyword list has a keyword classification of "Products-Parts".
Item-specific attribute data
For item-specific attribute data provided by GoldenCompass, refer to the "Types of analytics results" page.
Subfield data
For subfield data for field items provided by GoldenCompass, please refer to the "Analysis of subfields in fields" item on the "Technology/Product/Substance/Patent Classification: Field analysis contents" page.
Technology Convergence
See the "Technology Convergence" entry in the "Technology/Product/Substance/Patent Classification: Field analysis contents" page for subfield data for the field entries provided by GoldenCompass.
A typical track of technology convergence is keyword convergence, which utilizes co-occurring keywords.
The example below is a technology convergence analysis content for keywords that co-occur in patents related to field "augmented reality" from "Apple". By utilizing co-keywords of a particular keyword, you can also discover areas of convergence, utilization, application, or applicability with that particular keyword.
Utilizing AI/Machine Learning
GoldenCompass' data contains a lot of data that is generated through AI/machine learning models.
Prediction Models
PatentPia GoldenCompass provides forecasting emerging technology evaluation scores, evaluation grades, and evaluation rationale data on promise/emergence/growth by company and field.
The prediction model, based on machine learning methodology, predicts to what extent a particular company and a particular field will grow in a particular nation in the near future of 3-5 years. The fields are: i) technology fields, ii) patent classifications (CPC/IPC), iii) products-parts fields, iv) products-materials fields, v) concept fields (coming soon), and vi) keywords.
Prediction information is located at the top of the web page for its own (input/selected) item. The forecast rationale information is provided by selecting the Trend & Evaluation large menu→Evaluation mid-menu→Forecasting Evaluation sub-menu→Forecasting IP portfolio emergence detailed menu for the own (selected/input) item.
As an example, below is the forecasting emergence evaluation result page for the keyword item "augmented reality".
Evaluation Model
PatentPia GoldenCompass provides patent evaluation score, evaluation grade, and evaluation rationale data for each patent.
The example below is a page showing the evaluation score and evaluation grade for patents related to the keyword item "augmented reality".
For more information about the evaluation models, please see the "Evaluation Models" page(coming soon).
Recommendation model (coming soon)
PatentPia GoldenCompass provides various recommendation contents for each item.
Representative recommended contents include i) recommendations of keywords likely to be linked in the near future by keyword item, ii) recommendations of RFPs for government-funded R&D projects customized for companies/researchers or companies/researchers' fields, etc.
The example below is a page of recommended keywords with high near-future connectedness for the keyword item "augmented reality".
Business-oriented
GoldenCompass's biggest feature is that its contents are designed with a business orientation. For example, GoldenCompass provides a one-click analysis of your share compared to competitors for a specific field and generates a report with just one click.
Comparison with competitors/companies.
GoldenCompass' comparisons with companies are i) company vs. company, and ii) company vs. company for a specific field. The comparison scheme includes i) about 40+ indices, and ii) about 50+ time series trends. The indices and trends also include various shares and concentrations.
Patent Events
Events provided by GoldenCompass include i) patents involved in events, ii) financial events, and iii) social events (coming soon).
Patent-related events are events where patents are used. Patent-related events include i) patent transfers through M&A, ii) transactions such as patent lawsuits/patent trials, iv) standardized patents, v) FDA approvals where patents are used, and vi) government-funded R&Ds where patents are created as outcomes.
Taking Augmented Reality (AR; AR glass) as technology field example, we provide analysis contents of events trends using PatentPia GoldenCompass. If you click on the chain(link) marks that are combined with each item in the above utilization map, the example page will open in a new window.
Below is the analysis contents of the trend of No. of litigations during events for the technical field "Augmented Reality (AR; AR glass)" itself (input/selected item).
Utilization-oriented
MS Word Report
PatentPia GoldenCompass allows you to generate reports in MS Word file format with just one click.
GoldenCompass' reports are i) 1 page report per analysis contents page, ii) multi page report per item.
Technology Sensing
Technology sensing is easy with PatentPia.
The simplest and most practical example of technology sensing is to discover new appearing keywords that have only recently started to be used as terms as of today in a specific field of an interested company, such as competing companies/leading companies, etc.
For more information, including the five tracks and two service series related to technology sensing, see the "Tech Sensing/Market-Issue Sensing" page.
Excel download with rich information
PatentPia provides data download service in MS Excel file format.
The characteristic of PatentPia Excel data is that it provides much more items than what appears on the page, and the items downloaded are constantly expanding.
Shared/connected/evidence-oriented
Sharing via URL and reproduction
GoldenCompass supports sharing via URL, and analysis contents on a page-by-page basis. When the shared recipient clicks the URL or the target (post/picture/video, etc.) to which the URL is hyperlinked, the shared analysis contents page is reproduced.
The biggest feature of sharing analysis contents in GoldenCompass is that not only the original analysis contents page is shared and reproduced, but also the final analysis result page, which is composed of only i) filtering, ii) sorting, and iii) selected items. To reproduce the final analysis contents page, you need to copy the URL in the final screen state. Copying the URL for the final page can be done in one of two ways: i) by clicking the "Copy URL" button to copy the URL, or ii) by clicking the "View in New Window" button and entering the URL in the address bar.
Interconnectivity
One of the characteristics of GoldenCompass is that it is full of links.
Various items in the analysis tables that make up the analysis contents are linked, and when clicked, the analysis contents page for the clicked item is provided. Clicking on an item that appears in visualization content such as a chart also provides the analysis contents page for the clicked item.(coming soon)
Connected with other services of PatentPia
GoldenCompass is organically connected with PatentPia's other services. The connected services include i) My portfolio, an individualization service, ii) MS Word reports, iii) Analytics, a real-time patent set analysis, iv) Patent Dashboard, and v) Launcher, an image-based patent contents delivery scheme.
For a detailed connected scheme, please refer to the "PatentPia GoldenCompass (GC) Full Service Map" page.
Click on the analysis numerical value → Provide supporting data
Provides supporting data for the analysis contents of GoldenCompass. When you click on a numerical value that makes up the composition of the analysis table data, the rationale list data corresponding to the numerical value is provided.
GoldenCompass is working to increase the scope of providing rationale content, such as i) expanding the scope of analysis table data that provides rationale data, and ii) providing rationale list data corresponding to numerical values included in visualization contents such as charts.
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