PatentPia Field contents utilization map
PatentPia Field Organization
Kinds of fields
The fields covered by PatentPia include i) technology field, ii) product-part field, iii) products-materials field, iv) patent classification (CPC/IPC, etc.), v) concept field (coming soon), and vi) keywords.
Hierarchy existing fields
The kinds of fields covered by PatentPia are i) fields with hierarchy, such as patent classification, and ii) fields without hierarchy, such as keywords.
The fields with hierarchy include i) technology fields, ii) products-parts fields, iii) products-materials fields, iv) patent classifications (CPC/IPC, etc.), and v) concept fields (coming soon).
As an example, let's explore the hierarchy of technology fields through the classification scheme (top-mid-lower-detailed-detailed...).
One example of a top-level technology classification is "Artificial Intelligence".
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(Note) Select the name of the technology (the letter part). After selecting the first name of the technology, the following lower technologies will appear (drill down). Selecting the icon next to the letter will take you to the analysis contents for the technology.
You will see a variety of technologies that can fall under the "Artificial Intelligence" field.
A detailed lower level of technologies that fall under "Machine learning" appears.
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(Note: Technology classifications are available up to 9 depths.
Scope of the field
The scope of a field can be: i) the field itself, ii) the company's field, iii) the researchers' field, iv) the IP law firm's field, etc.
Field vs. patentset mapping
GoldenCompass maps patentsets across nations by field.
Patent classification (CPC/IPC, etc.)
Patent classification schemes used by GoldenCompass include CPC and IPC. Every individual patent is assigned one or more CPCs/IPCs. Utilizing the CPC/IPC data assigned to individual patents, we generate patent sets that are assigned/respond/mapped by CPC/IPC.
CPC is a massive hierarchy of about 270,000 individual patent classification nodes and up to 19 depth. The IPC has about 70,000 patent classification nodes. The CPC consists of i) classifications that the IPC is fine-grained (more than 140,000), ii) about 100,000 orthogonal classifications by view, and iii) about 20,000 Y-section patent classifications that are not present in the IPC at all.
The patentsets that are assigned/respond/mapped to a patent classification (CPC/IPC, etc.) are processed using the main patent classification contained in the patent, i.e., only patents with a particular patent classification as the main patent classification are used as the patentsets that are assigned/respond/mapped to that patent classification. On the other hand, for patent classifications that cannot be the main patent classification (e.g., CPC 2000 series or Y section), we use the patentset that is assigned/responds/mapped to the patents with that patent classification used as the sub patent classification. For more information about patent classifications, please refer to the "Patent Classification" page.
Technology classification
The technology classification scheme used by GoldenCompass is a hierarchy of approximately 100,000+ individual technology classification nodes and a maximum depth of 9.
The patentsets that are assigned/respond to/mapped to a technology classification use a combination of i) patent classification (CPC/IPC, etc.), ii) keywords, and iii) a list of patent search results via a search formula.
Out of the total 100,000+ technology classifications, at least 75% are generated using patent classifications; in particular, technology classifications in the lower depths often have only one CPC.
Technology classifications in the upper depths often have CPCs gathered from multiple places (hierarchy tree path). For example, the "Content technology" technology classification node is composed of 3 sub-technology classifications (CPC H04N21/00, CPC G11B20/00086, CPC H04L2209/60). Here, the three lower technology classifications have the same hierarchy tree path (parent classification is the same, one is in section G (code starts with G), two start with H. The two that start with H are also different, H04N and H04L, respectively).
Meanwhile, the “Hybrid cells" technology classification nodes all have the same hierarchy tree path.
A particular technology classification may consist of a combination of 1 or n keywords. A patentset is generated for each keyword, and the generated patentsets are unioned to form the patentset corresponding to that technology classification.
Some technology classifications may be difficult, unreasonable, or not feasible to limit/define/generate using patent classifications or keywords. In this case, we map the patent classification directly to the patent set by following the process of "searching for patents via search formula → denoising the search results → finalizing the patent set".
Product-Part classification
The product-part classification system used by GoldenCompass is a hierarchy of about 50,000+ individual product-part classification nodes and a maximum depth of 6.
The individual products and parts that make up the product-part classification scheme are i) commodities (product, part or component) from logistics standards such as UNSPSC/GS1, ii) specialized product-part-component schemes such as sensors, and iii) other product-part classification schemes.
The patentsets that are assigned/respond/mapped to product-part classifications use a combination of i) keywords, ii) patent classifications (CPC/IPC, etc.), and iii) a list of patent search results via search formulas.
Of the total 50,000+ technology classifications, at least 75% are generated using keywords; in particular, product-part classifications at the lower depths are often one keyword.
Material-Ingredient classification
The material-ingredient classification scheme used by GoldenCompass is a hierarchy of approximately 100,000+ individual material-ingredient classification nodes and up to 6 depths.
The individual materials-ingredients that make up the composition of the material-ingredient classification scheme are i) various ontology schemes such as MeSH, etc., ii) chemical and biochemical ingredient schemes, iii) various materials and additives such as polymeric materials, and iv) other material-ingredient schemes.
The patentsets that are assigned/respond/mapped to the material-ingredient classifications use a combination of i) keywords, ii) patent classifications (CPC/IPC, etc.), and iii) lists of patent search results via search formulas.
Of the total 100,000+ technology classifications, at least 75% are generated using keywords; in particular, the product-part classification at the lower depths is often a single keyword.
Concept classification
The concept scheme used by GoldenCompass is a hierarchy of approximately 1,000+ individual concept classification nodes and up to 4 depths.
Series/context of field analysis contents
The field analysis contents provided by PatentPia GoldenCompass are organized into the following series. The field analysis contents are the richest and most diverse in the GoldenCompass scheme, so we recommend using them appropriately according to the context (application location/use environment/utilization environment).
The series/contexts of field analysis contents include: i) analysis of the field itself, ii) analysis of companies' fields or researchers' fields, iii) analysis of technology subfields of the field, iv) technology convergence, and v) comparison with researchers' fields.
Analysis of the field itself
The analysis of the field itself is an analysis of one input/selected field. A field has a set of patents per nation assigned/responding/mapped to it. The analysis of the field itself is the analysis of that patentset, which contains i) time information, ii) patent holder/right holder information, iii) keyword information contained in the patent, iv) lower field information of the field (patent classification (CPC/IPC), etc.), v) researchers information, etc., and vi) events in which the patents in that patentset were used. These i) to vi) can be analyzed, and the analysis contents of these are the field's own analysis contents.
Below is an example of company analysis contents for a technical field item called "Augmented reailty". The companies in the analysis are right holders of patents for "Augmented reailty." You can analyze comparisons between right holders of patents. The types of comparative analysis are: i) index comparison, ii) trend comparison, iii) forward citations comparison, iv) patent families comparison, v) quality comparison, vi) comparison by kind of events, vii) share comparison, and viii) concentration comparison.
Company/Researchers' field analysis
Company/Researcher's Field Analysis is an analysis of one field of an input/selected company or one field of a researcher. A company/researcher's field has a set of patents per nation (patents in possession by the company in the field, patents invented by the researcher in the field) assigned/responding/mapped to that company/researcher's field. The analysis of a company/researcher's field is the analysis of its patentset, which contains i) time information, ii) patent holder/right holder information, iii) keyword information contained in the patent, iv) subfield information of the field (patent classification (CPC/IPC), etc.), v) researcher information, etc., and vi) events in which the patents in the patentset were used. These i) to vi) can be analyzed, and the analysis contents are the field contents of the company/researchers.
Below is an example of the analysis contents of the company "Apple" for the technical field item "Augmented reailty". Rising keywords in the analysis below are those included in the patents related to field "Augmented reailty" of company "Apple".
Analysis of the subfields
In a hierarchy of fields, a field item may have multiple subfield items that are directly under it. GoldenCompass provides various comparison analysis contents for these multiple subfield items. The comparative analysis contents include i) index comparison analysis, ii) various trends (time series) comparison analysis.
The own (input/selected) items that are subject to this analysis include i) the field itself, ii) the company's field or the researchers' field. The fields include i) technology, ii) products-parts, iii) products-materials, iv) patent classification (CPC/IPC, etc.), and v) concepts (coming soon). Since keyword fields do not have a hierarchy, there are no subfields, and therefore no subfield analysis.
An item has a patentset of nations assigned/responding/mapped to it. The patentsets from which the fields are extracted provide i) temporal information, ii) frequency information, and iii) event information in which the patents in the patentset were used. Special events include i) patent purchases/trades/M&A, ii) patent transfers through M&A, iii) patent litigation, iv) patents in standards, v) patents used in FDA approvals, and vi) patents related to national R&D. Utilizing time and frequency information, contents can be generated for fields such as i) rising fields, ii) new appearing fields, etc. Utilizing event information, field contents related to special patents can be generated.
Technology convergence
PatentPIa GoldenCompass provides three kinds of technology convergence contents for field items, company's field items, and researchers' field items.
The fields include i) keyword, ii) patent classification, iii) technology field, iv) product-part field, v) products-materials field, and vi) concept field.
Co-occurring keywords (keyword convergence)
Co-occurring keywords are keywords that have appeared together in a specified same scope of the same patent. The specified same scope includes: i) title + abstract + claims of the same patent, ii) claims of the same patent, iii) same paragraph, iv) same sentence, iv) title + abstract of the same patent, v) entire scope of the same patent, etc. GoldenCompass uses the "title+abstract+claims of the same patent" co-occurring co-keywords of scope as a priority, and we are expanding the kinds of scope(coming soon).
Co-occurring keyword contents are provided by i) keywords, ii) companies' keywords, and iii) researchers' keywords.
The No. of co-occurring co-keywords in patents that correspond/map to i) keywords, ii) companies' keywords, and iii) researchers' keywords can be i) aggregated time series, ii) calculated growth rates, and iii) calculated when they first co-appear. These correspond to i) co-occurrence time series analysis contents, ii) rising co-occurring co-keywords contents, and iii) new appearing co-occurring co-keywords contents, respectively, between "keywords vs. co-keywords".
Co-classficiations
Co-classification refers to patent classifications (CPC/IPC, etc.) that appear together in the same patent.
Non-exclusively, a patent is assigned one main classification and several sub classifications. At this time, the main classification and sub classification that appear together in the same patent have a co-classification relationship. On the other hand, sub-patent classifications that appear together in the same patent also have a co-classification relationship.
Co-classification contents are provided by i) classification, ii) company's classification, and iii) researchers' classification.
The No. of co-occurring classifications that appeared together in patents that correspond/map to i) classification, ii) company's classification, and iii) researchers' classification can be i) aggregated time series, ii) calculated growth rate, and iii) calculated when they first co-occurred. These correspond to the i) co-occurring time series analysis contents, ii) rising co-occurring classification contents, and iii) new appearing co-occurring classification contents between "classification vs. co-occurring classification" respectively.
Inflows
A given patent and the thin set of preceding patents it cites are all assigned a patent classification. From a flow/directional view, there is an inflow relationship between the "patent classification of a particular patent" and the "patent classifications of the preceding cited patents". The relationship between the "patent classification of a given patent" and the "patent classifications of preceding patents" for one specific patent can be extended to multiple specific patent sets. Patent sets that correspond/map to i) classifications, ii) companies' classifications, and iii) researchers' classifications are examples of the aforementioned specific patent sets.
Thus, focusing on patent sets that correspond/map to field, company's field, or researchers' field, the analysis can be performed by aggregating the "patent classifications of preceding patents" that are cited by patents in these patent sets. Aggregation analyses include: i) time series aggregation, ii) growth rate calculation, and iii) first co-appearance. These correspond to the "classification vs. inflow classification": i) inflow time series analysis contents, ii) rising inflow classification contents, and iii) new appearing inflow classification contents, respectively.
Diffusion
A given patent and the many subsequent citations that cite it are all assigned a patent classification. From a flow/directional view, there is a diffusion relationship between the "patent classification of a specific patent" and the "patent classifications of subsequent citing patents". The relationship between "patent classification of a given patent" and "patent classifications of subsequent cited patents" for one specific patent can be extended to multiple specific patent sets. Patent sets that correspond/map to i) classifications, ii) companies' classifications, and iii) researchers' classifications are examples of the aforementioned specific patent sets.
Therefore, focusing on patent sets that correspond/map to field, company's field, or researchers' field, the analysis can be performed by aggregating the "patent classifications of subsequent citations" that cite patents from these patent sets. Aggregation analyses include: i) time series aggregation, ii) growth rate calculation, and iii) first co-appearance. These correspond to the "classification vs. diffusion classification": i) diffusion time series analysis contents, ii) rising diffusion classification contents, and iii) new appearing diffusion classification contents, respectively.
Utilization cases of technology convergence
The most important things in the utilization system of technology convergence are i) "Global patent data = collective intelligence of technology" and ii) "Standing on the shoulders of giants, you can see further than giants". In particular, R&D efforts and investments in technology convergence by global market leaders or domestic and foreign industry giants are important. You should understand and absorb their technology convergence from the view of i) trend (time series, landscape), ii) rising (market/R&D signal, iii) new appearing (ideation/sensing/monitoring), and utilize/adapt/apply it to your own items. In addition, technology convergence of known geniuses/eminent researchers in the industry is also an important source to grasp, absorb, and utilize/adapt/apply to your own items.
Comparison analysis between multiple entered fields
Given multiple fields, GoldenCompass provides comparison analysis contents for these fields.
Example of multiple field families
Typical examples of multiple fields include: i) fields by interest/theme/classification ii) any user generated/entered fields.
How to upload & utilize multiple company groups : through My portfolio
To upload multiple fields from My portfolio and utilize them for comparison analysis, please refer to the “Creating folders & adding items of interest” page of the My portfolio related manual.
Analysis contents for comparison of multiple field groups
The analysis contents for index comparison between fields belonging to multiple field groups include i) index, ii) patent portfolio, iii) impact, iv) fidelity, v) quality of patents, and vi) events.
For reference, the comparison analysis contents between fields of a particular company/researcher have vii) share and viii) concentration of company on field.
Item's field analysis
GoldenCompass analyzes patent sets related to entities such as i) companies, ii) researchers, etc., to provide field analysis contents related to companies or researchers. Then, it analyzes patentsets related to field, such as i) field, ii) company's field, and iii) researchers' field, and provides each lower field analysis contents.
Within fields or subfields, there are contents for i) rising fields/subfields, ii) new appearing fields/subfields, and iii) specialized fields/subfields. Of these, i) rising fields/subfields, and ii) new appearing fields/subfields are discovered through "time-based analysis" of patent sets.
In addition, GoldenCompass provides special fields/subfields that are discovered by utilizing transactions, litigations/judgments, standards/FDA approvals, and other surge signals in the patent set. Special fields/subfields include i) fields/subfields related to transacted patents transferred through M&A, ii) fields/subfields where disputes such as lawsuits/judgments have occurred, iii) fields/subfields where standard patents/patents related to FDA approvals/ patents related to government-funded R&Ds belong, and iv) fields/subfields where various surge signals have occurred. The spike signals are i) forward citations spikes ii) spikes by overseas patent families, etc.
The analysis contents for a field or subfield include i) trends and indicators, ii) companies in possession of patents in field, iii) keywords included in patents in field and subfields of field , iv) researchers who invented patents in field, v) events related to patents in field, and vi) patents in field.
Field list content by item
GoldenCompass provides field list contents for its own (entered/selected) items. Field listings are provided grouped by special attributes such as i) rising fields , ii) new appearing fields , iii) highly specialized fields , iv) included fields related to special patents, etc. For detailed criteria for rising, new appearing, specialized, etc., please refer to the "Rising, New Appearing, and Specialization Criteria" page.
Rising fields
Rising fields are extracted from the fields included/related/mapped in the patent set that are assigned/responding/mapped to its own (input/selected) item, which are appearing at a rising frequency in recent years.
Below is an example of the contents of rising fields based on US patents for the company item "Apple" provided by GoldenCompass. For the list of rapidly growing companies, you can also apply descending sorting on the "First Appearance Day" field to get a confined or refined list of rising fields.
New appearing fields
Global companies like Apple or companies with large numbers of patents in possession rarely have new appearing fields, but the new appearing fields that do occur in these giants are important information.
Included fields related to special patents
GoldenCompass provides a list contents of included fields related in special patents, among the patentsets that are shipped/respond/mapped to its own (input/selected) items.
Special patents include i) patents related to special events, and ii) patents with special attribute spikes. Special events include i) patent transfers through M&A, ii) patent litigation, iii) patent judgments, iv) standard patents, v) patents used for FDA approvals, and vi) patents related to government-funded R&Ds. Special attribute spikes include i) patents with rapidly growing citations, ii) patents with rapidly growing foreign citations, iii) patents with rapidly growing self-forward citations, iv) patent family spikes, and v) patents with high technology convergence.
Field utilization map
Analysis situation vs. Analysis methods
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Step 1Put the title into GoldenCompass's search bar,
If you know the name of the item
Use the "Search to GoldenCompass" track if you know the name of an organization such as a company, the name of a field (technology, product-part, material-ingredient, patent classification (CPC/IPC), concept (coming soon), keywords), or the name of researchers.
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Click on a specific item in the search results,
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On the item's analysis page, select the "Technologies: fields" or "Products-materials" fields menu,
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Browse, utilize (generate reports, download excel, etc.), and share keyword analysis contents according to your purpose.
If you have a list of patents
For a list of patents in possession, there are three tracks to achieve the purpose of field analysis.
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Utilize PatentPia Analytics
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Access analytics.patentpia.com
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Upload an excel file containing your patent numbers from the "Upload Excel" menu or enter the patent numbers in the "Enter numbers" window
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Click "Upload Excel"
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Download the Excel upload form
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Enter the patent number (copy), aligning it with the fields in the downloaded form
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Upload the form excel file with patent number entered
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When entering the number in the "Enter Number" window, it must be 1 kind of number. Each patent has an application number, so you can enter the application number or Patent ID from PatentPia. You also need to select a nation.
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Note: If your patent list has a classification system (e.g., technology classification), you must select "Upload Excel".
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Click on the 5-deep menu under each 1-deep menu that includes "By technology field (CPC)"
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Utilize My portfolio
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(Note) For more information on patent set analysis using My portfolio, please refer to the "Real-time analysis of patent sets" page.](https://www.notion.so/Analytics-6e9cf9653fa94f55b36cd1004181e732?pvs=21)
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Patent list is already uploaded
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Access My portfolio → Access the individual My portfolio where the patent list is uploaded → Select the "Patent Folder" where the patent list is uploaded → Select the "Patent Analysis" main menu → Select the "Portfolio" main menu → Select the submenu and submenu (with nation) → Open the PatentPia Analytics page with the default analysis results → Click the menu containing "By technology field (CPC)" among the 5 depth menus
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How to access My portfolio: After logging in, click "My portfolio" in the upper right corner or other methods (click URL) to access My portfolio
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Patent list is not already uploaded
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What to do: You need to upload your patent list to My portfolio first. For details, please refer to the "Real-time analysis of patent set" page](https://www.notion.so/Analytics-6e9cf9653fa94f55b36cd1004181e732?pvs=21)
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Once the patent risk is uploaded, select the "Patent Folder" where the patent list is uploaded → Select the "Patent Analysis" main menu → Select the "Portfolio" main menu → Select the submenu and submenu (with nation) → Open the PatentPia Analytics page with the default analysis result → Click the menu with "By technology field (CPC)" among the 5 depth menu.
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utilize My GoldenCompass (coming soon)
Field utilization tracks
There are numerous utilizations of patents related to fields covered in patents. The most representative of these are, i) technology sensing, ii) technology/R&D planning, iii) new product/new service feature/concept planning, iv) utilization/convergence/application field exploration, etc.
Technology Sensing.
Technology sensing is the competitive intelligence practice of periodically exploring, analyzing, and utilizing technology elements contained in the patents of a targeted entity, such as i) a specific company, ii) a specific field, or iv) a specific field of a specific company, that are worth monitoring. For more information, please refer to the "Tech Sensing/Company Sensing/Market Sensing" page or the "Technology Sensing" page.
Planning new product/new service features/concepts, etc.
Planning/ideation of new and innovative features or concepts for new products/new services is a key concern for many organizations, including technology/product planning organizations, R&D organizations, marketing organizations, etc. For this purpose, buzz, complaint/evaluation data is collected from social sources, and the demand of clients or market is constantly investigated and analyzed.
Global patent data is the culmination of collective technology intelligence; and, global patent documents are also an encyclopedia of methods of solutions to technical problems (SOLUTION); hence, patent data is the crown jewel of the technology field in comparison with anything else, as it contains the technical achievements of researchers/technologists/engineers from all over the world for more than 100 years.
As Isaac Newton once said, "If you stand on the shoulders of giants, you can see farther than they can," and we need to utilize the giant that is global patent data wisely.
On the other hand, patent data has not only the advantages of papers such as citation information/government-funded R&D history, etc. but also abundant capitalistic elements that are not present in papers such as transactions/litigations/M&A/investments/standards/FDA approvals, etc. Therefore, if these elements are effectively utilized, differential performance can be achieved in i) technology sensing, ii) technology/R&D planning, iii) new product/new service feature/concept planning, iv) utilization/convergence/application exploration, etc.
Related contents
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