Artificial Memory Prototype for Personal Semantic Subdocument Knowledge Management (PS-KM)

The semantic web has gained widespread popularity. A large number of important research fronts are now been explored by researchers from around the world. Besides Semantic Web Services, one important area is how knowledge is managed and in particular how documents can be enriched through techniques such as semantic annotation. Annotations of documents and pages provide machine-readability of infor-mation. Software agents and other programmes can then be configured to automatically extract important knowledge from documents. Semantic annotations are typically enabled by ontologies. Ontologies in turn are enabled by ontology languages and ontology meta-data models. Semantics can be added to pages and documents manually, semi-automatically, and automatically [1]. This can be done dynamically when writing the document or after the document has been written [2]. Annotations represent content-independent meta-data which describes information in the document or page in some meaningful way. Typical documents, pages or reports represent serializations of information. Information is expressed by the author in 'chunks' and these chunks are serially joined together to form paragraphs, pages, sections, etc. Documents which have Seite 1 von 6 ISWC 2004 Demonstration Proposal No. 36