Web-Information Systems 2.0? Social, Economical, and Technological Challenges

The state of the art in ontology building and modeling in general widely disregards the fact that the behavior of rational actors in the modeling process will be driven by individual economic incentives. Quite obviously, creating an ontology requires resources (e.g. labor) from the contributing individuals. Now, it is for many domains a completely open research question whether the gain in automation, to be made possible by the availability of a respective ontology, outweighs the resources necessary for creating the ontology. Even worse, even if the overall benefit of an ontology over its lifetime exceeds the costs for creating the ontology, it may still not be created if it is not economically feasible for each individual required to contribute. In this talk, I will summarize the research questions of this novel field of Ontology Economics and present preliminary results. For more information: • http://www.heppnetz.de • http://www.unibw.de/ebusiness/ – 14:30: Data Quality, Compliance, Data and Web mining for Business Intelligence Invited Speaker: Elizabeth Chang Abstract: In this seminar, professor Chang through 2 case studies, introduce the importance of Data, data Quality, Compliance and Data and Web mining for Business Intelligence. Data is one of most valuable asset for any organization. Data Quality is vital to BI implementation success. The national data audits have determined that 15% of the data in the typical customer database is inaccurate, and poor quality information have been measured at the cost of 20% of the organizations revenue per year. Data quality is about data that is accurate, reliable and trusted. Improve data quality, improves the quality of the decisions and improves the effectiveness of the decisions as to its customers and stock holders. Compliance defines the scope for Business Intelligence. It revitalizes operational efficiency and competitive advantage. It is about trust, credibility and relationships. It contributes to cost savings and operational efficiency. It focus on the strategies, policies, processes, procedures, and enforcement and accountable for timely analysis, accurate and updated information, protected privacy and confidentiality, controlled access and authorized data views, security and attested proof of above. The Web is a service platform in the new digital economy, has radically changed business models and transformed communities. Organization today shall offer its services through internet, mobile devices and networks and use this as a means to automate its operation. It is all about allowing people (customers) and partners to access services ubiquitously at anywhere and 24-7. In addition, acquisition of market information, knowing what customers are thinking, what they want, how to serve to them, what drives them. This is part of the business intelligence and it is priceless! Professor Chang will also talk about a range of Data quality improvement techniques, data warehouses strategies, risk and compliance templates and frameworks, data mining solutions, BI implementation maps and measures. For more information: • http://www.fit.cbs.curtin.edu.au/ chang – 15:30: Coffee Break – 16:00: Ontology Evolution using Social Networks and Web 2.0 Invited Speaker: Prof. Dr. Tharam Dillon Abstract: to be provided – 17:00: Concluding remarks – 17:30: Reception