Technology sensing content service scheme
We provide technology trend contents using PatentPia GoldenCompass as an example of augmented reality technology keywords, Apple as an example of a company, and Augmented Reality (AR; AR glass) as an example of a field with a hierarchy. If you click on the chain(link) marks that are attached to each item in the utilization map above, the example page will open in a new window.
Technology Sensing scheme
Technology Sensing is a service that represents patent intelligence. By utilizing GoldenCompass, you can receive Tech Sensing contents with just one original click.
The technology sensing system includes i) sensing source system, ii) sensing target system, iii) sensing kind system, iv) sensing method system, and v) sensing information delivery system.
For example, GoldenCompass analyzes new appearing keywords in US patents related to field "augmented reality" of "Apple",
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Sensing source scheme = US patent
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Sense Target System = "Apple" in the field of "augmented reality"
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Sensing kind scheme = keyword
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Sensing method scheme = new appearing
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Sensing information delivery scheme = GoldenCompass analysis contents page
becomes.
Senses keywords included in US patents related to field "augmented reality" of "Apple" that are appearing for the first time within the recent 8 quarters. You can see that functional expression keywords such as "self healing" are being sensed.
Sensing source
Patent data by nation
A typical sensing source provided by PatentPia GoldenCompass is patent data by nation. The nations are initially i) United States of America, ii) Korea, iii) China, iv) Japan, and v) Europe (EPO). The range of nations will be continuously expanded.
Non-patented sensing sources
Data from national open call RFPs for government-funded R&D projects, such as Korea's open call RFP, is a good sensing source.(coming soon) On the other hand, news data for each country, as a representative example of social sources, is also a good sensing source.(coming soon) Papers are an important technology source along with patent data, but there are copyright issues. However, papers from specific sources that do not have copyright issues can be used for technology sensing. (coming soon)
Sensing targets
companies and their fields
The most important companies as sensing targets are i) competing companies and ii) market/technology leaders.
Fields
Using Apple as an example, we provide technology trend contents using PatentPia GoldenCompass. If you click on the chain(link) marks that are attached to each item in the utilization map above, the example page will open in a new window.
The fields to be sensed need to be systematically discovered and organized. Each field identified and discovered through GoldenCompass can be systematically organized through My portfolio. For details, please refer to the "Creating folders & adding items of interest" page.
For reference, there are two kinds of fields covered by PatentPia: i) fields with hierarchy, such as patent classification, and ii) fields without hierarchy, such as keyword classification. The fields with hierarchy include i) technology fields, ii) products-parts fields, iii) products-materials fields, iv) patent classifications (CPC/IPC etc.), v) concept fields (coming soon), etc.
Researchers and their fields
Important researchers as sensing targets are i) known names in the industry and ii) market/technology leading researchers.
Kinds of Sensing
The kinds of sensing are i) keywords, ii) fields and subfields, and iii) convergence sensing. Fields include i) technology field, ii) product-part field, iii) material-substance field, iv) patent classification (CPC/IPC, etc.), v) concept field (coming soon), etc.; and, convergence includes i) self-convergence, ii) inflow, and iii) diffusion. For reference, for more information on convergence, please refer to the "Technology Convergence" topic on the "Technology/Product/Substance/Patent Classification: Field analysis contents" page.
The kinds of sensing according to the characteristics of the sensing target (a given sensing item) are as follows.
We provide technology trend contents using PatentPia GoldenCompass as an example of augmented reality technology keyword, Apple as an example of a company, and Augmented Reality (AR; AR glass) as an example of a field with a hierarchy. If you click on the chain(link) indication that is attached to each item in the utilization map above, the example page will open in a new window.
Sensing Methods
Sensing methods include i) time-based volatility, ii) events relatedness, and iii) rapidly growing index values. Time-based volatility includes i) rising, ii) new appearing, etc. Event relevance includes i) transactions, ii) disputed events such as litigation/trials, iii) standards/FDA approvals, and iv) financial events such as M&A/investments. Rapidly growing index values include: i) Rapidly growing No. of forward citations by domestic/international patents, ii) Rapidly growing domestic/international patent families, etc.
On the other hand, if you sort by first appearance date in descending order on the keyword analysis result page, the days on which the keywords first appeared will be arranged in an order close to today. In other words, by sorting by first appearance date in descending order, you can know which keywords appear only in the most recent days. For more information, see the topic ""GC Analytics page feature map" page
How to recognize & communicate sensory information
Problems with the nature of sensing
Sensing is essentially about accessing valuable but scarce/sparse/unpredictable information. In particular, events such as transactions/litigations/trials/standard-essential patents/FDA approvals/M&A/investments, etc. have extremely low predictability. And, the more valuable the information, the more likely it is to be scarce. Therefore, periodically searching for these low-prediction targets (encountering "search result 0") is not efficient for the time spent. In other words, periodically sensing with Search is not recommended unless there are special circumstances (I feel lucky, professional/professional/service sensing, etc.).
How to solve sensing problems
Register your interest & resolve via alert mailing through My portfolio
Sensing for sparse targets with low predictability is recommended to be solved by registering interest & alert mailing through My portfolio. My portfolio's Alert Service works as follows;
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STEP 1 : Recognize issued interested items by users
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step 2 : Performs search (=sensing) with the registered interested items
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step 3 : If there are search results, generate alert mailing contents
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step 4 : Send alert mailing contents to users
On the other hand, users who received the ALERT MAILING contents in the mail can
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STEP 1 : Select valuable alerts among the alert results in the mail
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STEP 2 : Acquire search (=sensing) result contents for issued interested items
for registered interests.
In other words, users will only spend their time on valuable search (=sensing) results.
For more information related to alert mailing, please refer to the "Important events alert mailing" page.
Exploratory sensing at GoldenCompass
Exploratory sensing refers to the practice of not approaching GoldenCompass for the purpose of sensing, but rather discovering valuable sensing contents while browsing/exploring GoldenCompass. For example, if you sort a list of rapidly growing companies or subfields in a particular company or field in descending order of "first application date," you will often find meaningful sensing content that has only recently appeared out of nowhere.
Periodically, you can browse through GoldenCompass to explore companies or fields that you are interested in, and if there is an issue in the news, you can search for items related to the issue in GoldenCompass and browse through the analysis contents. In this case, you may also discover valuable sensing contents.
Sensing at Search
Through the PatentPia Search service, you can search for events and special patents related to events, etc. If you enter special search conditions in Search, you can get search results with high sensing value. For example, in Search → Litigation Search, if you enter "face recognition" in the patent claims search field, Search will return a list of recent patent litigations related to "face recognition" as search results.
We recommend using Search for sensing in high-volume, professional/occupational, service, or special circumstances.
Delivering Sensing Information
Sensing information can be shared through sharing via URL/reproduction.
You can also share sensing contents through reports in MS Word files.
Expansion of sensing sources and sensing kinds - Market/issue sensing (coming soon)
You can expand sensing sources from global patent documents to other targets such as news/articles, etc. The kind of sensing can also be extended beyond technology/products/parts/materials/substances, etc. to sense concepts or brands/models, etc. Furthermore, special behavior in the marketplace is also an important sensing target.