By Alistair Sutcliffe (auth.), Eric Dubois, Klaus Pohl (eds.)
This ebook constitutes the refereed court cases of the 18th foreign convention on complicated info structures Engineering, CAiSE 2006, held in Luxembourg, Luxembourg in June 2006.
The 33 revised complete papers provided including three keynote talks have been conscientiously reviewed and chosen from 189 submissions. The papers are geared up in topical sections on safeguard, conceptual modelling, queries, record conceptualization, carrier composition, workflow, company modelling, configuration and separation, company technique modelling, agent orientation, and standards management.
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Additional info for Advanced Information Systems Engineering: 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006. Proceedings
In principle, a sufficiently intelligent software agent might successfully analyze user actions and anticipate needs. In practice, the limited pseudo-intelligence provided by the software is rarely if ever helpful. The problem is, of course, that not even human beings are very good at anticipating the real needs of others, even in relatively simple situations. For that matter, in the real physical world and in real human relationships, accurate anticipation is not always experienced as a good thing.
In truth, all too often users have been made stupid and incapable by the illconceived tools we have given them. Rather than “dumbing down” interfaces with socalled wizards that work no magic or arrogating user prerogatives by embedding in software more so-called intelligence that is at best profoundly naïve and at worst maliciously misguided, we should instead be designing better tools. Tools do not do the work of the user. Good tools serve the user—and thereby earn the user’s trust—by allowing and enabling activity, use, performance.
E. Dubois and K. ): CAiSE 2006, LNCS 4001, pp. 18 – 19, 2006. © Springer-Verlag Berlin Heidelberg 2006 Dealing with Trust in eGov Services 19 By building data mining based fraud-detection systems within Governmental Information Systems we increase fraud deterrence and therefore enhance trust. We can further prevent fraud which cannot be easily deterred and promptly detect fraud which cannot be obviously prevented. Additionally we enable analysis and investigation of detected fraud to substantiate legal action against those responsible.
Advanced Information Systems Engineering: 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006. Proceedings by Alistair Sutcliffe (auth.), Eric Dubois, Klaus Pohl (eds.)