Support product/service planning using global patent data(new functions/utilization/discovering convergence fields, etc.)
Standing on the shoulders of giants
Planning/ideation of new and innovative features or concepts for new products/new services is a key concern and worry 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.
Harnessing global patent big data to unlock innovation
Mining for co-occurring keywords that appear together in patent documents, such as the keyword Coronavirus, has yielded some surprising results, including a number of matches to candidate materials for coronavirus treatment from newspaper articles. This example hints at the possibility of finding clues to innovation in technology's collective intelligence - global patent big data.
On the other hand, patent data not only has the advantages of papers such as citation information/No. of patents related to government-funded R&D, etc., but also abundantly contains 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, and iv) utilization/convergence/application exploration.
Planning support (new functions/utilization/discovering convergence fields, etc.) contents service scheme
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*Using Apple as interested company, augmented reality as Apple's keyword of interest, and Augmented reality(AR; AR glass) as an example of technology field, we provide contents for in-depth analysis of competitors/companies using PatentPia GoldenCompass. If you click on the chains (links) that are attached to each item in the above utilization map, the example page will open in a new window.
Reasons to support keyword utilization planning and 2 utilization tracks
Smart utilization of classified keywords can be of great help in various planning, such as i) planning/ideation of new functions/concepts/characteristics, etc. for products/services, and ii) discovery of utilization/application/convergence/application fields. In particular, if you utilize keywords extracted from global patents of market leading companies or strong companies in each field, you can conveniently/quickly execute the planning/ideation process. In addition, if you make good use of patent data, which is objective data in the technology field, you will have objective basis data for planning/ideation.
Why keyword contents can be used to support planning
Think out vs. see & think
It's really hard to think out form zero, but it's much easier to see & think.
Co-occurring keywords vs. keywords in a company's field
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co-occurring keywords (co-keywords)
Co-occurring keywords are keywords that appear 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 keywords of scope as a priority, and we are expanding the kinds of scope (coming soon).
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co-occurring keywords
GoldenCompass provides co-occurring keyword contents when the own (input/selected) item is a keyword. Co-occurring co-keywords that co-appear in i) keywords, ii) companies' keywords, and iii) patents that correspond/map to researchers' keywords can be i) aggregated time series, ii) calculated growth rate, 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-keywords contents, respectively, between "Keywords vs. Co-keywords".
In the example below, we can see that some of the recent co-occurring keywords for "augmented reality". Here you can see co-occurring keywords with "augmented reality" and their trends to get you thinking about the potential for expansion in this field.
These ideas can be described in the patent, but they don't have to be. In particular, there is a numerical value of the frequency of appearance for each co-occurring keyword, and clicking on the numerical value → outputting the corresponding patent list → clicking on the patent → outputting the patent content. Therefore, it is possible to refer to the thoughts of others(or, giants) through drawings (pictures) or detailed descriptions of invention included in the patent content.
Keywords extracted from patents related to field of company or enterprise: stand on the shoulders of giants
You can extract keywords from domestic and foreign patents corresponding to the company itself or the company's field, such as global market leaders, technology leaders, or industry powerhouses. The extracted keywords help you to see and think.
As you can see from the example below, the No. of co-occurring keywords appearing in "Apple's" "augmented reality" patent include various keywords related to i) concept, ii) function, iii) material/substance, iv) part, etc.
New appearing keywords are extracted from the keywords contained in the patent set that are assigned/respond to/mapped to their own (input/selected) items, and are only recently appearing for the first time.
2 tracks of keyword utilization: keywords that have already been connected vs. recommended keywords that are likely to be connected
Recommended keywords with high connection potential contents
There are two series of keyword contents (output) that appear in the analysis results by keyword, company, field, and company's keyword/field items (input) provided by GoldenCompass. One is i) keywords that have appeared (together) in patents, which is where most of the keyword contents (OUTPUT) fall. The other is keywords with a high probability of being connected. Highly connected keywords are those that i) within the scope of patent documents mapped to the keyword and company's keyword items (INPUT) in a given nation, ii) have never appeared together with the keyword in the same patent document (non-co-occurring keywords), and iii) are network-wise likely to appear together in the near future.
Reason of using recommended keywords with high connection potential contents
Highly connected keywords are keywords that have never appeared together with a given keyword item (INPUT) in the same patent. The reasons for utilizing keywords that have never appeared together in planning support are as follows.
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Strong heterogeneous convergence/combination/utilization/application (heterojunction that others haven't thought of (and therefore haven't appeared together in a patent)
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Unconventional
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Reluctant to see & think anyway, used in the planning/ideation phase, not as an actual product/service
Examples of using recommended keywords with high connection potential contents
You can find clues to innovations that were not in the patent world through R&D recommendation keywords for the keyword Coronavirus. To find clues to innovation, we utilize keywords that have never appeared together in the same patent as the keyword, but are likely to appear together in the near future based on network analysis.
Support for planning/ideation using classification
Mapping potential attribute classification of output keywords based on attributes of input
For the object you want to plan (the own (input/selected) item), you can distinguish the characteristics of the product/part, material/substance, technology, disease, expected market demand, etc. Similarly, once the classification of your own (input/selected) items is determined, you can also apply 1 or 2 DEPTH classification to the co-occurring keywords (MAX 2,000) OUTPUTS of these items, reducing the number of OUTPUTS. You can effectively focus your thoughts (virtual splicing) by gathering them under the same classification and reducing the number.
Input is eco-friendly material/substance
If the input is a material/substance, the planning goal can be, for example, i) a new product/part as an object to which this material/substance is applied/utilized/used, ii) a special physical or chemical property for this material/substance, iii) a new concept/characteristic/purpose/effect for this material/substance, etc.
Input is a product-part
If the input is a product/part, for example, i) a new product/part as an object to which this part is applied/utilized/used, ii) a special function for this product/part, iii) a new concept/characteristic/purpose/effect for this product/part, etc. can be the planning goal.
Input is a disease
If the input is a disease, for example, i) medicinal materials/gene/enzyme/natural substances that can be applied/utilized/used for this disease, ii) diseases/illnesses/symptoms/markers associated with this disease, iii) new concepts/characteristics/causes/purposes/effects for this disease, etc. can be planning goals.
Input is data technology
If the Input is a data technology, the planning objectives could be, for example, i) new services/systems to which this data technology is applied/utilized/used, ii) other data technologies/algorithms for this data technology, iii) new concepts/characteristics/purposes/effects for this data technology, etc.
Input is demand/concept
If the input is a demand/concept, the planning objective can be, for example, i) a new product/part as an object to which this demand/concept is applied/utilized/used, ii) a new material/ substance, special physical or chemical property/function for this demand/concept, iii) a new concept/characteristic/purpose/effect for this demand/concept, etc.
Related contents
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