The Semantic Web vision aims at building a "web of data", where applications may share their data on the Internet and relate them to real world objects for interoperability and exchange. Similar ideas have been applied to web services, where different modeling architectures have been proposed for adding semantics to web service descriptions making services on the web widely available. The potential impact envisaged by these approaches on real business applications is also important in areas such as:
SWAE (Semantic Web Architectures for Enterprises) aims at evaluating how and how much the Semantic Web vision has met its promises with respect to business and market needs. Papers and demonstrations of interest for the workshop will show and highlight the interactions between Semantic Web technologies and business applications. The workshop aims at collecting models, tools, use cases and practical experience in which Semantic Web techniques have been developed and applied to support any relevant business processes. It aims at assessing their degree of success, the challenges that have been addressed, the solutions that have been provided and the new tools that have been implemented. Special attention will be paid to proposals of “complete architecture”, i.e. applications that can effectively support the maintenance and evolution of business processes as a whole and applications that are able to combine representations of data and services in order to realize a common business knowledge management system.
- Semantic-based business integration: business integration allows enterprises to share their data and services with other enterprises for business purposes. Making data and services available satisfies both "structural" requirements of enterprises (e.g. the possibility of sharing data about products or about available services), and "dynamic" requirement (e.g. business-to-business partnerships to execute an order). Information systems implementing semantic web architectures can enable and strongly support this process.
- Semantic interoperability: metadata and ontologies support the dynamic and flexible exchange of data and services across information systems of different organizations. Adding semantics to representations of data and services allows accurate data querying and service discovering.
- Semantic-based lifecycle management: metadata, ontologies and rules are becoming an effective way for modeling corporate processes and business domains, effectively supporting the maintenance and evolution of business processes, corporate data, and knowledge.
- Knowledge management: ontologies and automated reasoning tools seem to provide an innovative support to the elicitation, representation and sharing of corporate knowledge.
Accepted paper and workshop program
5th September 2008
14.30 - 15.30
Themis Palpanas, Junaid Chaudhry, Periklis Andritsos, Yannis Velegrakis
Entity Data Management in OKKAM
15.30 - 16.00
Matteo Cristani, Elisa Burato, Nicoletta Gabrielli
Ontology-driven compression of Temporal Series: a Case Study in SCADA Technologies
16.30 - 17.00
The Hidden Problem of Uninformed Product Reviewers
17.00 - 17.30
Aurélien Moreau, Jacques Malenfant
Syntax-directed Data Integration in Semantic Web Services Orchestrations
17.30 - 18.00
Gianluigi Viscusi, Matteo Palmonari
IPAS: an Ontology Based Approach to Government to Business Service Selection