PROGRAM: 4-8

Title:

VOCABULARY BROKER FOR CROSS-DOMAIN SEARCH AND MASHUP OF DATA AND INFORMATION WITHIN AN AI-BASED KNOWLEDGE NETWORK

Abstract:

The Semantic Web based Vocabulary Broker (VB) is designed as a toolbox for cross-domain mashup of data and information with the objective to support trans-disciplinary, integrative work in science and education as well as industries and decision management. Furthermore, the VB plays an essential role within AI-based knowledge networks, such as the planed WDS knowledge network connecting different WDCs. The different parts of the VB toolbox operate and interact within a framework of components, rules and guidelines. Domain specific concept based vocabularies -modelled as terminological SKOS ontologies- used for the tagging of data properties and features are the foundation of the VB application. IUGONET data, as an example, which demonstrates the power of the VB, is described by metadata using standards consisting of data properties and appropriate keywords. IUGONET metadata is based on the SPASE standard. Most of the IUGONET data properties are tagged by keywords from SPASE vocabulary. DBPedia is a Linked Data project which contains a subset of Wikipedia data and information. The Vocabulary Broker connects the IUGONET and DBPedia data repositories as distributed resources within a knowledge network, using distributed controlled keyword based queries.