Semantic Web

The book comprises 16 chapters covering two kinds of contributions from researchers and industrial partners.

Contributions related to the Semantic Web technology itself are organised into the first seven chapters where readers can find topics including: probabilistic ontology modelling;distributed registry-directory infrastructure for the Semantic Web; (arbitrary domains, multilingual) semantic content generation based on NLP technologies; ontology-driven semantic information extraction; survey of mainstream data description, querying, and semantic service infrastructures; index structure for Semantic Web data management; and automatic semantic data integration based on multi-agent ontology mapping framework.

From Chapter 8 to Chapter 15, contributions related to the following Semantic Web application domains are presented: behavioural coordination of heterogeneous systems; context-aware software engineering environment; viewpoint representation and reasoning in e-learning and cognitive process; knowledge management for EHR (Electronic Healthcare Records);quality management and validation of e-business process models; Semantic Web service for e-government; content-aware Web Service composition; and modelling linguistical metaphor relationship. In the last chapter, authors try to solve the problem of software source code clones by borrowing methodologies from the research of ontology mapping.