What is the Non-Commercial Desktop license?

Noggle Non-Commercial Desktop License – Definition

Noggle is commonly used by individuals or various educational and non-profit organizations for daily document search and retrieval tasks. If you plan to use Noggle for your private or personal needs, and you are the only person planning to use it or you are working in an educational institution or non-profit organization, then the free non-commercial desktop license is for you.

Our non-commercial desktop license is free of charge to support personal document retrieval and/or non-profit research organizations. For educational or non-profit use, you are eligible for the free non-commercial desktop license if you are one of the below accredited bodies:

  • School
  • Library
  • College
  • University
  • Museum
  • Research Institute
  • Church
  • Charitable organization

For individuals, if you are a natural person and not a corporation, company, partnership or association or other entity or organization and will not use the product for commercial purpose, you are eligible for the non-commercial desktop license too.

Any other use requires the purchase of a professional license.

Cognitive Search Engine: How To Overcome The Knowledge Disconnect

How To Overcome The Big Knowledge Disconnect With Cognitive AI: Cognitive Search Engine

Our cognitive search engine with cognitive document retrieval features knocks down barriers between you and your documents. Use our natural and contextual search features that augment users’ experiences via the power of machine-based AI. Plug them in and stop searching – start knowing.

Document Recommendations

Cognitive Search Engine Features

The document recommendation engine 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 from available libraries regardless of the filename or file type. Our 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. For example, 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. [read more…]

Cross-Library Search

The mCognitive Document Search and Retrievalanaged library-sharing feature enables organizations to make their documents retrievable by approved people through distributed-search functions. With this feature, users can easily and quickly retrieve useful, relevant documents stored elsewhere on the network or on local computers. The cross-library search saves time and helps avoid the high cost of reinventing the wheel when a document exists somewhere else but cannot be located locally. The embedded “request document” function makes knowledge sharing as simple and secure as sending emails. Cross-library searches speed up the retrieval process and make document retrieval a collaborative activity via our cognitive search engine.

Topic Detection and KnowledgeMap Clustering

Cognitive Search Engine - Clustering Feature

One search aid that helps information workers to retrieve relevant content from large content libraries is clustered cross-document relationship information. This cognitive search service returns visually enriched content topics for all documents in the current search results. It helps to overcome information overload by organizing collections of documents into clearly labeled, hierarchical, thematic clusters in real time, fully automatically, and without external knowledge bases. Instead of browsing linear search results, the KnowledgeMap is a cognitive, non-supervised search-result visualization tool that presents essential information about the structure of topics within search results. The clustering algorithm scans internal relationships and linguistic patterns among all the documents found. In doing so, it unearths new groups or cross-document relationships that might guide you to new, interesting topic areas that enhance the initial search request. The amount of time users spend trying to make sense of long lists of search results is shortened dramatically. With clearly labelled folders, users can navigate straight to the documents they need and easily skip irrelevant ones.

Topic Exploration Service

With the KnowledgeMap topic clustering engine, query refinement is just a mouse click away. Topic clusters generated by our cognitive KnowledgeMap can help users refine their initial queries and drill down to a specific subject. This cognitive feature allows users to automatically rephrase search queries to pull relevant documents out of the selected topic clusters.

Intelligent Duplicate Filtering

As documents got copied, shared, and reorganized over time, more copies of the same file become available in different folders. These files generate “noise” in your search results and make the results list inconvenient to read and browse if it includes duplicate files from different locations. Our duplicate filter  is intelligent enough to keep only the version to which you have direct access. For example, a file might be available three times in your libraries: in the library on your local computer, in a network library (e.g., archive), and in a shared library from your colleague. Our intelligent duplicate filter shows you the file to which you have direct access and filters out the duplicate network file and the duplicate file from your colleague. You can always be sure you’re finding the smartest way to access the document without noisy search result listings.

Recent Work Linking

This feature extends the recommendation engine to drill down into your recent work. Our recent-work-linking algorithm scans your recently used files (e.g., Word documents and presentations you have recently worked on) and scans all available libraries for similar and related documents. Noggle presents a recommendation list for relevant files in your libraries that are related to your current work. In the blink of an eye, this cognitive search engine feature presents all documents from your libraries that might help you during your work activities.

Intelligent Open Engine

Noggle is not built on absolute storage paths. The proprietary Noggle document fingerprint holds all the content/full-text-based information needed to retrieve document regardless of file-naming conventions and storage locations. You can move files during the lifecycle, and the “intelligent open” engine for the document fingerprint will always try to locate the document and open it. This cognitive feature attempts to locate files via different mechanisms. First, the absolute file path is tested. Then, a similarity search is performed to locate a duplicate or similar version in your libraries. Finally, if not found, a document request is sent to the file owner if the file cannot be located in your environment. You can always get to the document no matter whether you have it, it has been moved, or it is part of a shared library. With just one click, the cognitive intelligent open feature guides to the physical document.

Image Text Recognition

The text recognition engine reads text from image files. Optical character recognition (OCR) detects text in an image and extracts the recognized words into an indexed character stream. This feature analyzes images to detect embedded text, generate text, and enable searching. This allows you to scan or take photos of important printed documents and save them in an indexed folder (e.g., simple TIF scans from printed “paper” documents). If these scanned or photographed files are included in a special library, our text recognition makes them retrievable via simple text searches.

Encyclopedia Document Trails

This service allows users to generate topic-specific document trails just by dragging and dropping a document from a library or search result into a Nogglepedia topic. Once you drag and drop a relevant document out of your Noggle library and into a specific Nogglepedia, a proprietary document “fingerprint” is generated. This service isn’t based on moving or sharing the document itself; the document fingerprint holds all the relevant information in an enriched, compressed format. These digital document encyclopedias can be privately shared in the managed Noggle network to empower swarm intelligence, such as research groups collecting fingerprints from private or corporate documents. These fingerprints bundle the available knowledge on special subjects. From each fingerprint in a Nogglepedia, all our cognitive search engine and retrieval services, such as recommendations, can be executed with just a mouse click.

Drop-In document linking

This service allows users to drag and drop any available document into the Noggle application to retrieve related documents, such as an email attachment or a local file. This file might not be part of any indexed library, but Noggle instantly scans the document and performs a concept-based full-text search within your document libraries. Therefore, you can drop any file into the Noggle client application, and this cognitive search engine and document retrieval service will perform full-text concept matching


Additional License Information:
You need a professional license for the following services:
Shared Cross-Library Search, Intelligent Open/Document Request, Collaborative Encyclopedia Document Trails


Further reading and references on “Cognitive Search Engine”:

Search OneDrive Documents – Office365 Integration

Search OneDrive Documents – How to integrate Office365 with Noggle

Noggle has direct interfaces to quickly find and search OneDrive documents via Office365 API integration.

Adoption of SharePoint Online, Office365 and OneDrive is high. Some companies have standardized on Office365 with OneDrive for Business as an document management platform while others use different storage locations for sharing files. In either situation, the reality is that business workers store information in multiple places — SharePoint, network file shares and cloud storages. To find that information is often a frustrating task of switching from application to application.

Noggle for Microsoft Office 365 enable information workers to easily and efficiently search, find and access documents from one single unified front-end desktop application. Noggle integrates OneDrive, OneDrive for Business and Office365 SharePoint Online storage locations to build and share knowledge libraries.


Noggle has registered apps to integrate with Microsoft OneDrive and OneDrive for Business storage accounts. Choose “OneDrive” or “OneDriveBusiness” as provider when creating a new noggle library. During library initialization, you must authorize the Noggle app to get access to your OneDrive account. The authorization flow will start automatically and only needs to be processed once.

OneDrive Authorization Flow

Login with your OneDrive Microsoft account data and approve the Noggle application permission request.

OneDrive Personal

OneDrive for Business Authorization Flow

1. Login with your Office365 account to authorize the noggle application:

Search OneDrive Documents - Noggle Login

2. Confirm that Noggle is allowed to read your OneDrive files:

Search OneDrive Documents - Noggle Login Confirmation

This procedure is only needed once for initial account authorization. You can revoke OneDrive storage access for Noggle at anytime via your Office365 portal.

How to revoke access:

If you want to revoke access, login to your Office365 account, navigate to “My App permission”. Follow this article for detailed instructions

Revoking Consent for Noggle Knowledge App in Azure Active Directory

Document Disconnect

Despite large investments over many years in ERP, CRM, HCM, SCM, etc., the “last mile” of many critical business processes is still a disconnected, discontinuous experience. The information needed for business documents is often contained in multiple systems — “digital silos.” The result is disconnected business processes.

  • 46% cite impaired ability to plan, forecast, and budget due to lack of visibility
  • 50% say people outside of their organization with whom they need to exchange documents use a different system or application
  • 51% cite documents that are misfiled or lost
  • Lacking visibility- 38% cite difficulty relating documents or versions of documents to important context


IDC Study: “The Document Disconnect” (2015)

Document Encyclopedia for the Digital Age: KnowledgeBox

Document management and knowledge sharing for the digital age

Knowledge Document Encyclopedia in the Digital Age

Document Encyclopedia

Our KnowledgeBox is a collaborative document encyclopedia for the digital age. A KnowledgeBox holds digital fingerprints of important documents from a particular branch of knowledge. Unlike a document library, which focuses on storage and document retrieval, KnowledgeBox topics focus on factual document information about the subject for which the box is named.

But a KnowledgeBox isn’t just another shared storage location or SharePoint to put documents into. Once you drag and drop a relevant document out of your Noggle library onto a specific box, a proprietary document “fingerprint” is generated. So it’s not about moving or sharing the document itself: the document fingerprint holds all relevant information in an enriched and compressed format. This allows that document or similar and related ones to be retrieved with just the fingerprint information, as the KnowledgeBox only stores the document’s fingerprint. This fingerprint is very small compared to the original file, but it holds all the full-text information needed to retrieve the document. So it doesn’t matter where the file is located or stored: with a Noggle document fingerprint, you or your colleagues can retrieve the document or similar ones regardless of the physical storage location.

With the managed Noggle peer-to-peer sharing functions, you can empower swarm intelligence such as research groups that are collecting fingerprints of private or corporate documents. These fingerprints bundle the available knowledge on special subjects. Without disrupting document access rights, you can share this knowledge to help others retrieve relevant knowledge and get connected.

Just as Wikipedia is a collaborative public platform for writing articles, KnowledgeBox is a collaborative private platform for linking document fingerprints on special subjects.

The following video shows how it works:

The document encyclopedia helps to:

  • Make your knowledge portable via a document encyclopedia
    Access your important knowledge and documents on any device without having to move files or documents. No need to know about storage locations. The Nogglepedia fingerprint will retrieve a document regardless of where it’s stored or whether it has moved to another location.
  • Securely share your knowledge encyclopedias with peers, colleagues, and friends
    As you only share Noggle fingerprints, the process is completely secure, as the documents stay where they are. In addition, it  has a low footprint for storage and bandwith.
  • Collaborate on specific knowledge areas
    Connect to knowledge encyclopedias to add important document fingerprints and receive fingerprints from others.
  • Save current research results and continue a deep-search later
    Quickly collect documents of interest for specific topics and do a further deep search later, e.g., with similarity search functions.

1913—first came the Encyclopædia Britannica, the oldest and one of the largest contemporary English encyclopedias.

2001–Wikipedia for public content showed up.

2016–for private knowledge sharing, When in doubt, look it up in the Encyclopedia Noggle, a.k.a. KnowledgeBox!


* Wkipedia definition for Encyclopedia

I cant find Excel files with macros, what to do?

I cant find Excel files with macros, what to do?

Excel files including macros are saved with the extension .xlsm. This filetype is not indexed by standard settings.

You need to include Excel marco file extensions either in the seperate libary setting (browse over the library entry and press the settigs button):



Or, if you want to have Excel macro files included in every library by standard, enter the file extension in the general application settings panel -> Indexing)


Knowledge workers collaboration and productivity

Increase Productivity by 20%: Knowledge workers collaboration via social technologies


Knowledge Workers Collaboration Tools

Knowledge Workers Collaboration Tools

New technologies for social collaboration: A McKinsey report discusses the potential value in using social tools to enhance communications, knowledge sharing, and collaboration within and across enterprises.

The most powerful applications of social technologies in the global economy are largely untapped. By using social technologies, companies can raise the productivity of knowledge workers by 20 to 25 percent.

The article conludes that organizations must transform their structures, processes, and cultures: they will need to become more open and nonhierarchical and to create a culture of trust. Ultimately, the power of social technologies hinges on the full and enthusiastic participation of employees who are not afraid to share their thoughts and trust that their contributions will be respected.

Knowledge Workers Collaboration

Finally, creating these conditions will be far more challenging than implementing new technologies like Noggle. So, the McKinsey report underlines the conceptual background of Noggle: It needs to be accepted within the sphere of knowledge management that experts in the gig economy do not want to give away their “knowledge” (in the form of documents) to centralized places, thereby losing control of what or who can access the knowledge. Knowledge managers need to be aware that knowledge is not only the information or document itself—knowledge is also about finding the people behind bits of information or documents. Today, we must empower the gig economy instead of fighting it with rigid centralized storage-process guidelines. In supporting decentral knowledge sharing, we will increase productivity among organizations. We must accept that centralized document-management approaches, which have been the focus of most knowledge-management projects, constantly fail to deliver value in the long run.

The following link includes a downloadable executive summary and the full report with more data about the study:

Knowledge Workers – How to raise productivity

Full Article

Knowledge sharing practice – It is time to act

The GigEconomy: We share everything but struggle to share knowledge.

What about your knowledge sharing practice today?

In an LinkedIn Pulse article, the motivation for Noggle was outline in regards to the upcoming requirements to put knowledge sharing into practice in the Era of the Gig Economy.

Knowledge sharing is part of our human nature to connect and collaborate with others. We are social beings, and as such have been bound to share what we know with others. Today, we applaud the arrival of the collaborative economy, in which we have started to share increasing aspects of our lives. Examples are carsharing, roomsharing, co-working and office-space sharing, and peer-to-peer lending or crowdfunding. However, what about knowledge sharing practice today? It is one of the great ironies that we share almost everything but still struggle to share knowledge.

Knowledge Sharing Practice

What abour your knowledge sharing practice?

While the importance of knowledge sharing practice increases, the personal skills of managing it seem to fade.

In times when storage space is nearly unlimited at nearly zero cost, we save ever more documents in scattered file shares. Nobody cares about disk space anymore. So, our cherished new technologies, like big data and the cloud, simply fan the flames of information overload. We still struggle to find information that matters.

The growth of computing has brought renewed attention to the ideas of Vannevar Bush about processing and storing information, including the “Memex,” an information-storage concept detailed in Bush’s 1945 essay “As We May Think,” in The Atlantic Monthly. (Vannevar Bush – “As We May Think”)

Some may think that the ideas and concepts postulated in ‘As We May Think’ are old or without much value. But, it seems that the idea of association and its value for augmenting human understanding and cognition continues even today. So what of the man, what of the paper, and why does this work still continue to resonate 70 years after it was first published?

Please read the full article and follow-up here:
LinkedIn Pulse Article “Knowledge Management”