Title :
A framework of community-based collaborative web publishing system
Author_Institution :
Beijing Inst. of Graphic Commun., Beijing, China
Abstract :
With more and more publisher bodies publish machine-processable content on the web, the so-called web-3.0 era emerges. These contents, normally in forms of RDF triples, make the Internet a huge knowledge base. Hence, the Internet now empowers virtual communities than ever before. This paper introduces a framework for web publishing community that focuses on a domain of interest. The system starts from a predefined domain ontology, and crawls resources from the web of data. By semantic match making, the system facilitates users finding related resources and sharing content. The knowledge base can evolve with users´ participation. Thus the system improves communications between human users by improving interoperation among machines.
Keywords :
Internet; content management; groupware; information retrieval; ontologies (artificial intelligence); Internet; RDF triples; Web-3.0 era; community-based collaborative Web publishing system; content sharing; domain ontology; knowledge base; machine interoperation; machine-processable content publishing; resource crawling; resource finding; semantic match making; virtual community; Communities; Crawlers; Ontologies; Portals; Publishing; Semantic Web; Semantics; Web community; collaborative publishing; ontology;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6664049