"Annotea" is the schema for attaching annotations and metadata to the Web contents proposed by W3C. But it can be used not only as a simple RDF annotation schema but as the platform of Web based communication and collaboration in groups or enterprises. In this conference, you can actually try our Annotea client "JACLE" (Javascript Annotea-client for Collaboration Environment) on your laptop. By attaching your questions and comments to the presentation slides on the Web dynamically, you can feel the possibility of Annotea and JACLE as the next collaboration platform in groups or enterprises.

We have successfully ported MedDRA thesaurus into OWL ontology, and generated a new MedDRA ontology. By the MedDRA ontology, it is easy to provide several new services such as intelligent search, information integration with user local information, semantic inference or autonomic processing. The MedDRA ontology has almost same size of Galen ontology developed in UK.

We introduce our activity for constructing a Digital Home Appliance Ontology that make easy to retrieve information such as their usages and maintenances.

Semantic Web has been attracting great attention for several years. There are already many implementations. From the point of business information systems, however, there are still issues to be resolved. First, there is no mechanism to provide a trust of an ontology so that an business information system can utilize it. Second, an ontology that a business information system wants to utilize is not necessarily limited to the ones in Semantic Web. In this presentation, ISO/IEC MMF Ontology Registration is presented as one of the measures to resolve these issues.

The scoutor is a semantic application in Ubiquitous Computing environment. Just by holding your cellular phone close to any of products around you, it finds the related blogs from its bar-code metadata. Further, you can get the extracted word-of-mouth and hot topic on that product. Please stop by our booth and try it!

Information Security Management System(ISMS) requires to identify all of an organization's information assets. However it is too hard manually to do. We will explain a system for confidential document identification and risk analysis, and will discuss how metadata and ontologies contribute for the system.

A large scale heterogeneous data structure can be transformed into a knowledge representation using a RDF graph.
We propose CSM to extract similarity and comparison points from the RDF graph by a combination of analysis and graph pattern matching. We also present a demo of cross domain search using CSM on office data to search similar persons and compare technological keywords from several types of databases.