Knolidge

Knolidge©

Unlocking Intrinsic Knowledge

1Lightflake Technologies

In Enterprises, Day-to-Day Data / Information is captured in documents

BUT

Documents-based data Generation in enterprises is mostly UN-STRUCTURED


Even if employees are genuinely interested in creating well-formatted and Data-Complete documents, they end up making Un-Structured and inconsistent documents.


Various “Application Architecture Document” sample documents made by employees of a Mobile App Development company


Storage of Unstructured Documents

Un-Structured Documents

In a CMS/DMS Repository

Distributed on PCs

Shared Drives and Folders

CMS - Content Management SystemDMS – Document Management System


Benefits of CMS/DMS

• Can create folders and organize documents into directories/folders• Access Control Rules over documents/folders access.• Document Versioning• Check-In/Check-out features• Updates over document activity

BUT DOCUMENTS ARE STILL UNSTRUCTURED ! AND ENTERPRISE SEARCH ENGINES FAIL MISERABLY TO CONTEXTUALLY MINE DATA WITHIN DOCUMENTS


Enterprise Search Engines

• Enterprise Search is significantly different from Web Search and most search engines depend on content categorization which is pre-dominantly manual , time-taking and a process in continuum.

• “Semantic enhancements” done by manual/automatic “Content Classification” by using both generic and enterprise-specific taxonomies and ontology managers.

• Some Search engines provide additional “navigational capabilities” for further filtering down on relevant search results.


• Good for searching people, good for searching documents as A whole but are basically incapable to intelligently (“Semantically”) mine data ‘within’ Un-Structured documents.

• Never help creating any insight into data.

• Search results presented in form of links to ‘positive hit’ documents. User is required to click->open->read all listed documents to find whether they really contain any useful data. This process is very cumbersome and thus practically unusable by employees.

Enterprise Search Engines Shortcomings


Sample Search Results screen from a Google Search Appliance(GSA) implementation. User need to click->open->browse each document to find searched information. 9Lightflake Technologies

Knowledge-Rot

• Creates a situation of ‘Knowledge Rot’.Lots of data/information is generated daily within enterprise which is never analyzed, which can otherwise be powerfully mined for

• Highly Efficient Information reuse within Enterprise • Impressively reducing redundant work• Very powerful and actionable Knowledge Insights • Single-point visualization of Enterprise data• etc. , etc..


Introducing

Knolidge


World’s First platform for Structured Information Generation And Knowledge Mining

• Drag-drop, point & click UI based designing of content-rich & visually-rich, structured MS-Word-like document templates(XSD & XML Templates)

• Creation of XSD-conformed and consistent documents (XML documents)

• Content based Knowledge mining• Topic-wise search. Able to find EXACT data.• Listing only specific area(s) of documents• Search within specific area(s) of documents• Creation of intelligent Boolean search expressions.• Compound document generation on-the-fly( filtering-out unwanted/confidential data from documents or search results )


Knolidge Document Template Designer

UI

CORE

Drag-Drop, Point & Click based Rich Document Templates Creation ,complete with document formatting and visual details. Absolutely no need for user to know XSD, XML, CSS, HTML or any other technology.

Well-defined XSD & XML Templates Generation Engine in background.

Knolidge Document Creator/Editor

UI

CORE

MS-Word like Editor Interface for document creation/editing. Absolutely no need for user to know XSD, XML, CSS, HTML or any other technology.

Well-formed and XSD-conformed XML generation Engine in background.

Knolidge Search

UI

CORE

Knolidge Search Interface

Point & Click based Knowledge Mining Tool. User can • Search within a specific category of documents• Search within specific area(s) of a specific category of documents• Can create Boolean search expressions for pin-pointing data accurately Search Results presented as a SINGLE document( Huge improvement over existing processes)

Search Results document created dynamically

Document XMLs

Knolidge is KNOWLEDGEExample Document template for an Mobile Application Development company

Application Name

Purpose

Feature Set• --------------------------------------------------------• --------------------------------------------------------

Architecture

Description

Architecture Diagram

Languages Used

External Libraries Used

Supported Platforms

Platform Requirements

Handset Requirements

Network Dependencies

Bandwidth Requirements

General Information

Processor/RAM

Supported Screen Resolutions

Installation Details

OTA support

Features to Add

Miscellaneous

Few examples of ‘Knowledge Insights’ gained using just one single template created on Knolidge platform

• Give all Applications with their Feature Sets• Give all applications with their purposes• Give applications with purpose of game/Leisure/fun/m-commerce etc.• Give application named X , and give me its Features set.• Give all applications having ‘ABC’ in their name and their ‘Architecture Description’• Give all applications which use J2ME/Java as their Development language• Give all applications which uses external ‘libconfig’ library• Search for applications whose Architecture contains XML/Sockets/RPC• List all applications with their Full Architectures/Architecture diagrams• List all applications which are supported on android/ iPhone.• Give all applications where Platform requirement contains winCE• Give application X and its Processor/RAM requirement and also list ‘Bandwidth Requirement’• Give application X and its supported screen resolutions• Give application X and its ‘Architecture’ and ‘Network Dependencies’• List all applications with their ‘Installation Details’• List application X and its ‘Features to Add’ and ‘Miscellaneous’ sectionAnd On and On……………Imagination is the only limit here !!

This is REAL Knowledge Creation

• Maximum reuse of existing Information• Minimizing redundant work

Imagine Knowledge Capital generated whendocument templates made for most of enterprisetechnical/non-technical processes !!


Some ‘Other’ benefits of Knolidge

• Single point control over all documents and templates.

•Addition/Deletion of a field in template will automatically add /delete that field in all existing documents and subsequently in all new documents.

• Change in template will be effected in all existing documents. For example, Changing Company logo in template will automatically change that Logo in all documents.

• Filtering out confidential/irrelevant information from document before presenting it to external parties.

• Company’s data is generated in most future-proof format i.e. XML, and it opens up many possibilities like externally using all XMLs for other BI purposes or for generating visual graphs and statistics by applying XSL Transformations over XMLs.


Technology

Knolidge