Get Insights from the European Patent Office

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Patent Insights

Crosslink and discover patents related to trends, clusters or your own documents

Using this patent search tool, you can search 90 million patents in the European Patent Office database. The data is provided by www.epo.org.

Patent Search Tool

Why Explore Patent Data?

Our noggle managed patent library inspires the exploration and enhanced understanding of intellectual property (IP). Together with private noggle libraries, it allows to discover and visualize trends and patterns across the innovation landscape. As a result, we hope researchers and developers alike will explore and identify related knowledge.

What you will be doing with the patent search tool, at least in the first instance, is a keyword search. However, it is essential to try a variety of different keywords in your search. Once you stumble on the proper keyword combination the doorway starts to open to explore in combination with our cognitive clustering tool.

However, to do a competent patent search you must do more: For example, once you receive manageable results you need to read the patents and see which ones are relevant. So, always remember to try various search terms to make sure you are covering all possible descriptions of the invention. Along the way, as you read the patents and identify related ones, keep track of the numbers and identify the classification that relates to the type of invention you are searching.

A. Simple queries:

Query Example I

A search [cloud security] returns records matching cloud OR security in publication title or abstract, or inventor/applicant name.

Query Example II

A search [cloud AND security] returns records matching cloud AND security in publication title or abstract, or inventor/applicant name.

B. Complex queries:

Query Example III

A search [(“Internet of Things” OR IoT) AND IBM] returns records for IBM matching the phrase “Internet of Things” OR the term IoT .

 Example Screenshot for IBM “IoT” Patent search request. (Click for full view):

IBM IoT Patent Search

IBM IoT Patent Search

Data provided by EPO Open Patent Service (OPS) www.epo.org

Open Patent Services (OPS) is a web service which provides access to the EPO’s raw data via a standardised XML interface. It contains data on more than 90 million patent documents from around the world.

www.epo.org

How-To: Maps Of The Worlds Digital Knowledge

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Digital Knowledge

If we could join the dots between all the research articles that have been published digitally, what would happen?

Academics have already suggested that if we could only make the right connections between all the pieces of digital knowledge already available, we could tackle the most pressing questions facing society.

It is not about generating more and more content. It is about connecting the dots between pieces of material already in existence. The problem is not having digital knowledge “somewhere”. Our problem is retrieving knowledge when we need it.

Examples are already available of experts identifying key information about diseases like Alzheimer’s by data mining relevant literature. [1]

Stop talking! Let’s start putting Big Data and Text Mining into practice

You’ve already come across the buzzwords ‘big data’ and ‘text mining,’ right? But do you have this technology on your desktop ready to use? I bet not. At least, only a few of us will.

We can change that. I’ve started to produce an application which brings text mining, indexing and cognitive clustering right to your fingertips. I’ve kept it simple. Its “Google-like” interface with cognitive technologies can analyze private and deep-web content sources.

The technology is just one side of the story. The other side is the ability to analyze personal, private knowledge sources as well as external content libraries.

We need access to an entire body of knowledge, across all content sources

Nowadays, we want easy access to an entire body of domain knowledge stored digitally. Unfortunately, external publishers’ collections represent knowledge silos, because nobody wants to blend together different publishers.

So let’s move forward and join the dots.

The goal is to solve the following two problems:

A. Unify the search experience to different content sources

The good news is that many publishers nowadays offer open access to their content via APIs interfaces. The bad news is that they all look different.

I want to unify these different technical API access points. This will bring all content into one simplified search front-end to enable a search for term-based knowledge domains. Be it Patents, Open Access Science, IEEE or TEDTalks or …

Together with private knowledge sources from different storage locations, this would create a cool search experience.

B. Provide cognitive guided visual maps to explore the results

Often, so much content is returned in response to generic search terms that we ending up having to browse endless listings. But browsing linear listings is not a way of learning our brain can manage efficiently. Confronting hit after hit in a list—when lists don’t end—is not the way our brain works best. Our brain works more associatively. We need different forms to visualize the search result listings.

Forget about boring search result listings – use KnowledgeMaps

What would you think of a search result visualization tool that provides essential information about the structure of topics within the search results? Let’s call it a “KnowledgeMap” of similar terms in the documents from your initial search.

And it does so in a visual way like how our brain works – not with pure “listings.”

It looks like this: A clustering algorithm scans internal relations and linguistic patterns among documents according to how similar they are to the initial search request. Then it presents you with a visual map of these clusters and documents. You can now unearth new groups or cross-document relationships, which might guide you to new, interesting areas that build upon the initial search request.

Example 1: TED Talks – Predictions and future projections

The following infographic-like knowledge map was created by searching TED Talks for future projections and predictions. This allows you to browse 500 TED Talk predictions in clusters like “Future Energy,” “Social Change,” “Education,” or “Medical Research”:

TED Talks

Picture 1: KnowledgeMap of Clusters for TED Talks Predictions [2]

  • The Technology cluster includes a talk by Nicholas Negroponte, “5 predictions, from 1984.”
  • The Social Change cluster ranks the talk “The future of money” about how crytopcurrencies will change the banking landscape as #1.
  • The Politics cluster contains the top ranked talk “A prediction for the future of Iran,” which is based on a mathematical analysis for predicting human events.

These clusters have been auto-generated based on cognitive analysis and each talk is listed in the Noggle KnowledgeMap browser with a link to the original TED website.

Isn’t it a beautiful map of 500 predictions from the world’s most inspiring leaders?

Example 2: How drones are changing our lives

While there is a lot of “social noise” on the “airborne fulfillment centers” patent from Amazon [3], there is not just this one patent in that area. But it will hard to get it by just scrolling large listings in patent databases.

The following infographic-like knowledge map was created by searching the US patent library for “UAV and drone” with additional cognitive clustering based on the search result, which contained over 350 patents.

The KnowledgeMap spotted a cluster with 20 patents on the subject of “delivery” via drones!

Picture 2: KnowledgeMap of Clusters of US Patents on UAVs and Drones [4]

You can now unearth new groups or cross-document relationships, which may guide you to new, interesting areas that build upon the initial search request.

In milliseconds, thousands of documents located for the initial request are analyzed to build cognitive guided clusters. In addition, a new visual search experience is created by using KnowledgeMaps to present and browse the retrieved documents.

Generate stunning knowledge maps on your own

Now the fast and final part of the story: Let’s connect the unified search to access different content sources with the stunning KnowledgeMap feature: There it is, right at your fingertips… Generate stunning maps of the world’s digital knowledge by yourself.

Whether it’s patents, inspiring TED Talks, or open-access science articles—it is all now in front of you. Now you can discover links that could help us tackle whatever question or issue you can think of, in whatever area you choose.

Final 4 How-To steps to do it on your own

1.    Browse available KnowledgeMaps at public.knowledgemaps.online

2.    Download and install the free application via noggle.online

3.    Create or select libraries to execute a research request

4.    Generate cognitive clusters and maps on your own

The creative potential of this technology offers new ways of research and digital knowledge discovery. The produced maps are open to share, so it allows the retrieved KnowledgeMaps to be published and shared in your teams.

Now, share the news and lets start to make the right connections between all the pieces of information to tackle the most pressing questions facing society!

Happy Knowledge Mapping!

Yours, Lars von Thienen

IEEE Search Gateway

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IEEE: The world’s largest professional organization for the advancement of technology

IEEE and its members inspire a global community to innovate for a better tomorrow through its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing, and technology information around the globe.

Source website: www.ieee.org

The Noggle client allows to use their public available search gateway. To search in the IEEE gateway, enter your terms in the noggle search box:

A. Simple queries:

Query Example I

A search [electric hybrid] returns records matching electric or hybrid in metadata, abstract or document text.

B. Complex queries:

Query Example II

A search [(gasoline NOT diesel OR electric OR hybrid) AND “Document Title”:vehicle] returns records matching gasoline, electric or hybrid but not diesel in metadata, abstract or document text, and vehicle in document title.

Query Example III

A search [“Abstract”:”internet of things” OR “Document Title”:IoT] returns records matching “Internet of Things” in abstract or IoT in document title.

Example Screenshot:

Terms of Usage

The usage of the IEEE library is free of charge within the public available Noggle client. We do not modify the IEEE content in any form.  We do not provide direct access, host or embedd IEEE content in the Noggle application or on our website. The Noggle application just allows to search and find links to the original articles on IEEE.org via their public search gateway. The Noggle client only provides links to IEEE articles which are further available via the IEEE web service.

We attribute IEEE.org as the source in each search result listing when using the noggle search and include a link to the article on the original IEEE.org website. The purpose of the IEEE search gateway integration is to support our vision to make scientific content easily retrievable.

Explore ideas in the managed TED Talks library

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Terms of Usage

The TED organization encourages to share TED Talks that are licensed for distribution under our Creative Commons license, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International). Therefore we provide and share the managed TED library under the same  Creative Commons (CC) license.

The usage of the TED library is free of charge within the free, public available Noggle client. We do not remix or modify the TED content in any form.  We do not provide direct access, host or embedd TED talks in the Noggle application or on our website. The Noggle Library just allows to search and find links to the original talks hosted on the TED.com website. The library only provides links to TED talks which are published on the public available TED.com website.

The main source used for our library is the public available listing of TED talks in the public google spreadsheet available at the following link: public GoogleDocs TEDTalks spreadsheet

We attribute TED as the owner of the TED Talk in each search result listing when using the managed library and include a link to the talk on the original TED.com website. The purpose of the managed TED library is to support the vision of TED and to share ideas and make them easily retrievable with direct forwarding to the orignial content on TED.com.

Can Noggle integrate external or individual data-sources?

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Integrate individual and external data-sources with our pre-defined API connector

The Noggle client is built on an open and extensible framework and enables you to integrate different data sources. We provide two API definitions that allow you to integrate your individual datasets or existing search applications into the Noggle client:

Library Connector API

This API allows you to create different connectors to individual data sources. You code the access and data gathering procedures for your own data source (e.g., an internal SQL database or JIRA application) and feed that content into a Noggle Library via the Noggle Library Connector API. The library connector will be distributed on each client. Each client will then be able to use this connector to connect to your internal data sources and use all Noggle functions to index, search, retrieve, cluster, and so on. Our own public connectors (e.g., GoogleDrive, OneDrive, SharepointOnline) are built into this API. We provide basic source templates so you can get started quickly.

Managed Library API

This API allows you to connect to central hosted search APIs via the Noggle network. So, if you have an internal application with existing indexing and search capabilities, you can connect directly to that application via our managed library API. This means that you don’t need Noggle to build your local index libraries. You can use the existing search application and integrate the features directly into the Noggle client as a managed library. The user experience interface then allows the user to use existing search features from the Noggle front end without switching to different search engines or apps.

Both APIs require an enterprise subscription. With that, there are no limits to integrating whatever datasets you want into the cognitive retrieval features of Noggle.

How To Create A New Digital Library

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Option A: You can use the Library Wizard to connect additional storage locations with “one-click” setup.

Click on the “Link Drives” icon in the menu panel and activate additional storage locations with the on/off button for each location.

add storage locations

Option B: Setup individual libraries with individual folder selection, different file type specification, and parameter configuration with the Library Manager.

Open the “Library Manager” from the menu panel. The “NEW” library button in upper right corner of the “Libraries” panel opens a new dialog to build an individual document library.

 

New Library Button

New Library Button

 

A new window opens to set all parameters for the new library.

Create Library

Create New Library Screen

 

Now, just add the requested information to setup the library:

  1. Add a name to your library
    The name is shown in the library panel.
  2. Give it a short description
    The description is a short information about the content for the library.
  3. Select the provider you want to use
    You can choose between your local file system, network drives and cloud providers like OneDrive, OneDrive Business, Dropbox, Dropbox Business, Office365 Sharepoint Online or Google drive.
  4. Select the folders for indexing via the pick folder button
    Now, the pick folder screen allows to select the folders which should be included for the library. Finally, press “OK” once you have selected all folders. In addition, you can add/update and change the folder selection later at anytime.

    Select Folder Dialog

    Select Folder Screen

  5. Add or change the contact EMail
    Furthermore, if you decide to share your library with other colleagues later, the email information is important for your collabortors. Therefore, if a collabortor finds a documents within your library, the email can be used to request access to that document.
  6. Add or change your short name
  7. Click “OK”
    Finally, a dialog will open to allow direct indexing start.

Open Access Journal Article Search – Connect the Dots

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Join the dots between the huge number of high-quality open access articles

Using this managed open access journal article search library, you can search and reference approx. 8 million articles.

Patent Search Tool

Why use Open Access Journal Article Search Data?

Take, for example, a Noggle search request that is using text mining to discover new articles related to the key topics of your document. Text mining is an analysis technique that involves using a computer to scan thousands of relevant articles at once to “mine’” the facts and data within them and discover connections. By using this type of cutting-edge technology that can speed-read data on a large scale, researchers found out more about the biomarkers that help early diagnosis of the alzheimer disease.

Academics argue there are links waiting to be discovered that could help us tackle the most pressing questions facing society, in areas ranging from healthcare to the humanities. Today, Noggle brings this kind of technology right to your own desktop. You are able to let noggle recommend articles in the open access space based on your private documents. This is like fast-reading 8 million documents and cross-linking them with your own content. (See this technique in action on the TED content: LINK)

The Quality of Open Access Content

As early as 2004, Thomson Scientific found that in every field of the sciences “there was at least one open access title that ranked at or near the top of its field” in citation impact. Of course the number of high-quality and high-impact open access journals has only grown since then. It’s not surprising that open access journals can be first-rate: the quality of a scholarly journal is a function of its authors, editors, and referees, not its business model or access policy.

To search for keywords in open access library, just enter your keywords in the search box. So, a search with [cloud “information security”] would look for “cloud” or “information security” in the article database.

Noggle uses different Open Access database providers

We use different sources for our managed open access search. Two prominent examples are the Directory of Open Access Journals and the Spinger OpenAccess database. Our automatic database aggregation technique supports your individual open access journal article search from the desktop application.

Directory of Open Access Journals (DOAJ)
DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals. The Directory aims to be comprehensive and cover all open access academic journals that use an appropriate quality control system. The Directory aims to increase the visibility and ease of use of open access academic journals—regardless of size and country of origin—thereby promoting their visibility, usage and impact.

The data in DOAJ is licensed to you under the Creative Commons Attribution-ShareAlike License (CC BY-SA).

Springer Open Access
Provides metadata and full-text content for more than 370,000 online documents from Springer open access. Including BioMed Central and SpringerOpen journals.

 

US Patent Search Tool – Use Noggle Cognitive Exploration

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Patent Search Tool

Crosslink and retrieve patents related to your own documents

Using this patent search tool, you can search 6 million US patent documents. The data is provided by www.patentsview.org.

Patent Search Tool

Why Explore Patent Data?

Our noggle managed patent library inspires the exploration and enhanced understanding of intellectual property (IP). Together with their private noggle libraries, it allows to discover and visualize trends and patterns across the innovation landscape. As a result, we hope researchers and developers alike will explore and identify related knowledge.

What you will be doing with the patent search tool, at least in the first instance, is a keyword search. However, it is essential to try a variety of different keywords in your search. Once you stumble on the proper keyword combination the doorway starts to open to explore in combination with our cognitive clustering tool.

However, to do a competent patent search you must do more: For example, once you receive manageable results you need to read the patents and see which ones are relevant. So, always remember to try various search terms to make sure you are covering all possible descriptions of the invention. Along the way, as you read the patents and identify related ones, keep track of the numbers and identify the US classification that relates to the type of invention you are searching. Finally, upon identifying several US classifications that seem to relate to your invention, you can open the Advanced Search Page and do a classification search.

To search for keywords in patent library, just enter your keywords in the search box. So, a search with [cloud “information security”] would look for “cloud” and “information security” in the patent abstract.

Data provided by PatentsView

The PatentsView database is supported by the US Patent and Trademark Office. The USPTO is the federal agency for granting US patents and registering trademarks. The US patenting system encourages innovators and entrepreneurs worldwide to publish their inventions for worldwide use and adoption.

The patentsview work was created through a government contract funded by the Office of Chief Economist in the US Patent and Trademark Office. Users are free to use, share, or adapt the material for any purpose, subject to the standards of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

Document Recommendation – Cognitive-guided Knowledge Retrieval

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Document Recommendation

The task of document recommendation to knowledge workers differs from the task of recommending products to consumers.

Collaborative approaches, as applied to books or videos, attempt to communicate patterns of shared interest to augment conventional search results. However, it turns out that subtle variations in search context can undermine the effectiveness of collaborative filtering. There are well-known problems with these approaches.

For information seeking, what seems to be required is a recommendation system that takes into account both the user’s query and certain cognitive features from the context. Being able to leverage existing taxonomies and inter-document and inter-library relationships helps to recommend related and similar documents.

The Noggle recommendation engine is optimized and can detect all related documents for a given document. If a document is selected from the search results, the engine pulls up all related or similar documents. Regardless of the filename or file type. The recommendation intelligence is based on full-text/content-similarity deep-search algorithms. It can even pull up new versions of existing documents that have been edited by your colleagues and saved in completely different locations. You can’t locate these documents with simple search queries on your own. Imagine that you find an old PowerPoint document and you want to see the latest version of the document and its Excel calculation sheet. They might be anywhere on the network, but our recommendation engine detects them instantly.

Please review the following example:

References: