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Knowledge Management By: Duc Phan Morgan Murphy. Overview Intro to Knowledge Management (KM) Types of KM Technologies Meta Data Meta Data Harvesting Software.

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Presentation on theme: "Knowledge Management By: Duc Phan Morgan Murphy. Overview Intro to Knowledge Management (KM) Types of KM Technologies Meta Data Meta Data Harvesting Software."— Presentation transcript:

1 Knowledge Management By: Duc Phan Morgan Murphy

2 Overview Intro to Knowledge Management (KM) Types of KM Technologies Meta Data Meta Data Harvesting Software Products Conclusion

3 Intro to Knowledge Management Knowledge Management (KM): – the way organizations gather, manage, and use their knowledge. – Redundancy of work. Waste of resources Dot com burst helped transition KM to the web – Digital Libraries

4 Types of KM Technologies Digital Library (DL) – A library that contains documents in machine readable format. Similar to traditional library catalog. Digital Asset Management (DAM) – The process of organizing digital files, such as images, documents, videos, and presentations. – Greater variety of tools.

5 Meta Data Meta data: – Literally means “data about data” – Dublin Core Standards for how you make meta data available A standard that consist of 15 meta data elements – Title, creator, subject, etc.

6 Meta Data Harvesting Federated harvesting – Extract data each time a request has been made Pros > Instant info + no storage Cons > High bandwidth usage = higher cost Periodic harvesting – Data is extracted and stored once a day Pros > Less frequent = low bandwidth usage Cons > Storage space (database) + hire additional employees

7 Example Periodic harvesting – National Science Digital Library (NSDL) Meta library Exposed library meta data is harvested by NSDL daily Federated harvesting – MERLOT Course ware

8 Software Products Different ways to create, store, manage, protect and share data: – Fedora Not Linux Distribution Open source program for managing and delivering digital content – NSDL built on Fedora – Documentum By EMC Nike uses this to manage all its marketing information – DSpace HP + MIT

9 Conclusion To avoid double work, a knowledge management system should be utilized. Critical for large companies with a wide range of data

10 Questions?


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