Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How Big Data Impacts the World of Patents
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > How Big Data Impacts the World of Patents
Big Data

How Big Data Impacts the World of Patents

Datafloq
Datafloq
6 Min Read
SHARE

Patents and Intellectual Property are gradually gaining significance around the world. This is leading to a bottleneck–large databases and ever growing information. Read on to find how Big Data analytics can show a way out.

Contents
Big Data and Intellectual PropertyBig Data and Citations Analytics

To succeed in today’s hostile business environment, innovation is no more a nice to have strategy, but an essential requirement. For the older companies where status quo was acceptable and in fact wasn’t too unprofitable either, things have changed. Smaller companies have pushed the boundaries by providing outstanding products, and adding value at a lower cost. Hence, big enterprises are facing stiff competition. Different strategies have begun to appear in the market. For example, acquiring a brilliant startup with its employees and subsequently focusing on introducing new product lines. Companies such as Yahoo, HP, and Facebook have taken the lead in adopting this strategy.

Another way around the innovation problem is to acquire patents. With examples such as Nokia, Motorola, Twitter, the patent purchases seem rather straightforward. Nokia sold a large chunk of its company to Microsoft, but held on to the crucial patents by signing a licensing deal. They can now earn a revenue using patents licensed to Microsoft. Google bought Motorola and its patents and later sold the company to Lenovo while holding on to the patents. There are ample such examples in the industry. However, there is a bigger game at play behind all this. With millions of patent applications floating around the world, how does one look for a worthy patent. Even if you find one, how do you determine its strength and defensibility (in case of a litigation). Check this page for more information about obtaining patents and avoiding patent infringement read here.

Big Data and Intellectual Property

Transactions of Intellectual Property (IP) is a complex game. Let’s see how Big Data analytics impacts the IP industry. A basic component to be verified before a patent is granted, is novelty. In other words, if a prior-art describing the invention is found, the application stands to be rejected. A prior-art could be in the form of a publication, a blog post, a lecture, a video, or a book. With a humungous amount of information generated—that doubles every 18 months—how does one look for prior art? Sure, a google search will point you to a 100,000 documents, but you’d have to browse through all of these.

More Read

Bigger Than Big Data? Mobile User Expectations
Is Your Business Primed For Growth? How Data Can Address Internal Barriers
8 Amazing Big Data Companies You Should Know, But Probably Don’t
Actuate Makes Big Play with BIRT Analytics
Why I Quit the Third Tribe

One way, some organizations follow, is crowdsourcing the prior art search. The process is rather simple. Details about the patent is published on a website asking IP professionals from around the world to find a prior-art. The winner is offered prize money. This method can and does work to some accuracy, but has its limitations. The emergence of Big Data analytics, on the other hand, has provided a clear way out. The 100,000 documents and hundreds of millions of words can now be intelligently skimmed through using algorithms. In addition, the outcomes through this method get better and precise with each operation.

Let’s talk about the patent issuing authorities. Since Big Data analytics is still not commonly used by most government authorities, prior-art gets overlooked and many bogus patents are granted. This comes out when—in litigation—the opposing parties put all their efforts in looking for a prior-art to invalidate each other’s patents. More often than not, a prior-art is found or there is an out of court settlement.

Hence, a concept called patent wall has gained traction. It is very common for companies to file as well as acquire a number of patents around the technology they are working on. This serves as a defense against litigators and allows the companies to market and sell their products/services without any fear of litigation.

Big Data and Citations Analytics

Another component, where Big Data analytics can be effectively used is Citations analysis. Citations are references provided at the time of filing a patent. For example, if I’ve invented a path breaking new type of a mouse trap, in my patent application, I’d cite other patents issued for mouse traps and prove why my invention is different. Hence, these citations will be linked to my applications as backward citations. Now, imagine if someone comes up with a new way of catching mice and cites my patent in her application. This patent will become a forward citation for my patent. In the patent databases, there are several of these citations (backward as well as forward). Subsequently, this creates a crisscross of citations leading to a complicated web. If you were to study this mesh of forward and backward citations, which is essential in patent analytics, you’d be trapped. But advanced analytics tools can provide you easy-to-understand insights arising from this web of connections.

As the amount of data grows, and more countries see the benefits of a patent system, this information is bound to witness exponential growth. Hence, technologies and initiatives that target the processing of patent data and break it down to insights that humans can understand, will lead the way.

TAGGED:patents
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?