Learning Objects: Modules of
re-usable learning content that are available in a full spectrum of forms and characteristics, ranging from paragraphs, individual images, and video clips, to chapters, full texts and anthologies.

Metadata: Data about data; information about information. Metadata is used to describe information resources and learning objects. Typically, it reveals the contents of the learning object so enabling discovery, management, and exchange. It sometimes exists as a ‘wrapper,’ directly attached to a learning object; other times, it exists separately in searchable repositories.

Standards: Formally or informally agreed-upon models that signal consensus. e-Knowledge standards will enable networks, computation and communication devices, applications, and data to interact with one another.

The Grid: Grid computing involves harnessing the latent power of distributed computing systems to create massive grid arrays that can be used by scientists for research or by companies like IBM, Sun, and HP/Compaq to create distributed platforms for delivering services to their clients.

Internet2: The next generation of the Internet, providing great bandwidth and capability to its subscribers.

Web Services: XML, SOAP, UDDI, and WSDL enable disparate applications on varying platforms to communicate, opening the door for Web services that provide the promise of seamless interoperability between applications and platforms.

XML: eXtensible Markup Language.

SOAP: Simple Object Access Protocol.

UDDI: Universal Description, Discovery and Integration.

WSDL: Web Services Description Language.

Internet Culture: there are four
sub-cultures that shape the Internet as
we know it. 1) techno-meritocratic,
2) hacker, 3) virtual communitarian
and 4) entrepreneurial cultures.

Orthogonal Relationships: The
e-knowledge environment enables multi-directional sharing of knowledge. The resulting value web incorporates relationships that can be expressed in dimensions that are wholly independent of each other. For example, cost and satisfaction.

Ontologies: descriptions of concept domains that bring together controlled vocabularies and taxonomies with a high degree of relational specificity.

Parasitic Computing: Networked servers are made to unwittingly perform computation on behalf of a remote node.

Augmented Reality: Use of networked technology to provide knowledge and tools that enhance the capacity of people to perform tasks.

Resource Description Framework (RDF): A language specifically designed to support the sharing of metadata and information enriched by it.

Ambient e-Intelligence: Combining of artificial intelligence with e-knowledge to create collaborative intelligence for use by communities of practice