Knowledge extraction Creation of knowledge from structured and unstructured sources After the standardization of knowledge representation languages such as RDF and OWL, much research has been conducted in the area, especially regarding transforming relational databases into RDF, identity resolution, knowledge discovery and ontology learning. The general process uses traditional methods from information extraction and extract, transform, and load (ETL), which transform the data from the sources into structured formats. So understanding how the interact and learn from each other. The following criteria can be used to categorize approaches in this topic (some of them only account for extraction from relational databases):[2] President Obama called Wednesday on Congress to extend a tax break for students included in last year's economic stimulus package, arguing that the policy provides more generous assistance. Relational databases to RDF [edit] :Peter :marriedTo :Mary . Extraction from structured sources to RDF
Developing A Knowledge Strategy Developing A Knowledge Strategy David J. Skyrme Knowledge is a hot topic. The Knowledge Advantage How can companies use knowledge to secure a strategic advantage? Knowledge in Products: 'Intelligent' or 'smart' products can command premium prices and be more beneficial to users. These are not the only ways that companies are creating strategic advantage through knowledge but give a flavour of what is possible. Two Thrusts of Strategy What strategies are companies adopting to maximise the returns on their knowledge asset? The second major thrust of knowledge focussed strategies is that of innovation, the creation of new knowledge and turning ideas into valuable products and services. The Knowledge Dimension One of the practical problems of developing knowledge strategies or adding a knowledge dimension to other strategies is the complex nature of knowledge. The difficulty comes, not through handling 'explicit' knowledge, but 'tacit' knowledge which is harder to express and codify.
iaslash 15 Effective Tools for Visual Knowledge Management Since I started my quest a few years ago searching for the ultimate knowledge management tool, I’ve discovered a number of interesting applications that help people efficiently organize information. There certainly is no shortage of solutions for this problem domain. Many tools exist that offer the ability to discover, save, organize, search, and retrieve information. 15. Link: Platforms: Win, Mac, Linux Cost: Free (Open Source) DeepaMehta is a “networked semantic desktop” that replaces the traditional computer desktop. 14. Link: Platforms: Mac Cost: $179 Tinderbox stores and organizes your notes, plans, and ideas. 13. Link: Platforms: Win, Mac, Linux Cost: Free (Open Source) 12. eyePlorer Link: Platforms: Web Cost: Free EyePlorer allows you to explore and process knowledge. 11. Link: Platforms: Mac Cost: $65 10. Pathway is a visual Wikipedia browser.
KM Wiki Information Architecture Consulting by Peter Morville Knowledge retrieval Knowledge Retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology. Overview[edit] In the field of retrieval systems, established approaches include: Data Retrieval Systems (DRS), such as database management systems, are well suitable for the storage and retrieval of structured data.Information Retrieval Systems (IRS), such as web search engines, are very effective in finding the relevant documents or web pages. Both approaches require a user to read and analyze often long lists of data sets or documents in order to extract meaning. The goal of knowledge retrieval systems is to reduce the burden of those processes by improved search and representation. References[edit]
i-KM Louis Rosenfeld: Information Architecture & User Experience Global RISK Management Network with Financial Risk Management, Information Technology Risk Management, and Business Risk Management focus on Global Financial Markets, Global Financial Systems, Capital Markets, Digital Business Models, Digital Business Ent Knowledge.com