Noggle is able to index and find your ebooks. All epub ebook files will be analyzed and put into the internal search index. It allows you to execute a full text search in your ebooks from the Noggle search application.
Our photo and image search features align with our efforts to use computer vision for knowledge retrieval. Users are able to find similar images via our integrated recommender engine with the blink of an eye. Only select one image shown in the results section and Noggle will automatically pull up all related and similar images in near-real-time.
Making your own photo and image library searchable with Noggle is now as easy as pulling up images on public search engines.
You can search similar or related images like this:
Image indexing is applied and stored locally on your client.
This tutorial shows how to use the managed TEDTalks library. The integrated managed TEDTalks library can scan the TEDTalks via the noggle client. Furthermore, you can use all integrated cognitive recommendation features to link public TEDTalks with your individual, personal documents.
Open the library panel, switch to managed libraries and select the TEDTalks library:
Managed TEDTalks Library
Now your are able to specifiy search querries to browse and search the TED Talks library from within your client. With a click on the ” Intelligent Open ” button, you will directly forwarded to the TED.com page with the respective video talk.
Noggle can create and cluster all found TED Talks for the subject with the integrated KnowledgeMap feature. By using the integrated cognitive AI processing engine, you can use and browse automatically generated knowledge maps to research and browse the search results.
If you have found an interesting TED Talk, you can use the “Recommend” button and Noggle will instantly search and present a list with all TED Talks that are related to the selected one. This cognitive retrieval feature also works across different libraries. You can, for example, select different libraries with the Library Manager panel. When you press the “Recommend” button, noggle will also search for related documents from all current selected libraries. This way, you can use public TED talks to retrieve personal documents that are related with a presentation. Or the other way: You can search documents, activate the TED library within the Library Manager panel, and press the “Recommend” button on your document. This way, Noggle will pull up TED talks that are related to your personal document.
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)
With billions of files, the cloud has become one of the world’s largest stores of private documents, and it’s still growing. As users add more and more files it becomes harder for them to stay organized. Users spend endless times browsing file stores to retrieve their files manually. In other words, the more content users store in the cloud, the more important it is for them to have a powerful cloud document search tool available.
Cloud document search – Users need unified search tools
With this motivation in mind, we set out to deploy an instant, full-text cloud document search. Noggle replaces browsing with a single search interface as the primary way to find and retrieve content in one single place.
Today, Noggle powers cloud search for all large solution providers like Dropbox, Google drive or SharePoint.
It is a secure, decentralized, peer-to-peer document-retrieval and knowledge-sharing tool that goes far beyond the single technologies of document sharing or search applications. It is a a free application around the core conceptual principles that go back to the roots of Vannevar Bushs. In his essay “As We May Think” (1945) he visioned:
“Wholly new forms of encyclopedias will appear, ready-made with a mesh of associative trails running through them, ready to be dropped into the memex and there amplified.”
(Source: As We May Think – Article)
Today, Noggle allows to build your own private knowledge encyclopedias and share them with your colleagues. Combining cloud document search with digital library management and full-text search tools provides new ways for peer-to-peer based knowledge retrieval.
With Noggle you can
Noggle unifies search results across desktops locations, network file shares, email, cloud storages (e.g. Dropbox), enabling you to preview and act upon information – no matter where it is stored. And even better, Noggle has embedded peer-to-peer library sharing algorithms to collaborate with your colleagues and to make knowledge retrieval as easy as to google the public internet.
You can download a short whitepaper about the features: Document Retrieval – Features Overview
There are different ways how Noggle helps to find documents. The main approaches can be described in the following categories:
1. Searching documents based on text queries
This is the standard way of how search requests work in the web or on google: Put your search string in the input box and noggle will present the found documents based on relevance ranking in the output window.
2. Searching documents based on KnowledgeMap clusters
This approach is used if you are not sure about the concrete term or search string you need to search for. So you start with just a generic search string which you put in the search text box. As a result, noggle will present a large list of documents which might match the generic top-level word search. Now, to narrow down your search, you can build a so-called “noggle map” which clusters found documents based into linguistic clusters. These clusters will be presented visually. Now, you can select one or more clusters which come more close to your topic you are looking for and press the “NoggleCluster” search button. Now a new search request is performed to just search for content in the selected clusters. Afterwards, the found documents will again be clustered based on linguistic patterns. This process can now be repeated to slice and dice the available content into categories which are automatically generated based on the content until you have found a cluster with documents that have a high relevance to your individual knowledge you are looking for.
3. Searching documents with the “similar like this” function
Another important way of searching documents is that you need to check “similar” documents once you have found once document of interest. So if you have found one document that matches your area of interest, you can select this document and perform a “similar like this” search request within all available libraries. This way, noggle will now check which documents have a “similar” content like the selected one and will present all documents which have a content-wise correlation to the select document. This feature is really great because it can find similar document across different libraries. So if John has a project document with interesting content, just select this document, perform a “similar like this request” and noggle will check if you other peers/libraries contain similar documents. It is similar to what you know from “Amazon” – once you have selected a book, Amazon will present a list of similar books which you might like based on the content of the books. Bring this power now directly to your desktop. Let noggle recommend documents that might be interesting for you based on the one document you selected.
4.Searching documents with the “drop-in” area
This is another use-case often needed for the knowledge worker: Think about a situation when you receive a document via eMail. Now you think “Hmmm, I think I have some similar documents with additional content, havent I or a colleague?”. Now you can drag’n drop the document from your eMail inbox directly on the “drop-in” window area in the Noggle client. Noggle will instantly run the indexing service on the document and instantly check all available libraries for “similar” documents. So within milliseconds, Noggle will present you a list with documents in your libraries, which a similar to the dragged document. Even if the document is not present in any library, it can be used to search similar documents in all libraries available. In addition, it will automatically perform an “expert” search. This means that in addition to the similar documents list, you automatically get a list of peers/experts which have a similar knowledge profile to the document your dropped on the application. And all of this happens in near-realtime instantly on your desktop.