Declarative Programming for Knowledge Management: 16th International Conference on Applications of Declarative Programming and Knowledge Management, INAP 2005, Fukuoka, Japan, October 22-24, 2005. Revised Selected Papers
Masanobu Umeda, Oskar Bartenstein, Armin Wolf, Ulrich Geske, Dietmar Seipel, Osamu Takata
Springer Science & Business Media, Dec 27, 2006 - Computers - 228 pages
Knowledge means power – but only if it is available at the right time, the right place, and in the hands of the right people. Structured, engineered, repeatable methodsto gather,transport,andapplyknowledgearecollectivelycalledkno- edge management. Declarative programming strives for the ideal of programming by wish: the user states what he or she wants, and the computer ?gures out how to achieve it. Thus, declarative programming splits into two separate parts: methods for humans on how to write wishes, and algorithms for computers that ful?l these wishes. Knowledgemanagementisnowrecognizedasaneconomickeyfactor.Decl- ative programming has matured far beyond the research stage of a merely - teresting formal logic model to one of the powerful tools in computer science. Nowadays,no professionalactivity isthinkable without knowledgemanagement, and companies increasingly need to document their business processes. Here, declarative programming carries the promise to be a shortcut to not only do- menting but also implementing knowledge-based enterprises. This volume presents a selection of papers presented at the 16th Inter- tional Conference on Applications of Declarative Programming and Knowledge Management, INAP 2005,held in October 2005 at Waseda University, Fukuoka, Japan. These papers re?ect a snapshot of ongoing research and current app- cations in knowledge management and declarative programming. Further, they provide reality checks and many pointers for readers who consider introducing related technologies into their products or working environments. Skimming through the table of contents, technology managers as well as - plementorswillbesurprisedonthewidescopecoveredbythisselectionofpapers. If you think of knowledge streams as supply, manufacturing, or distribution chains, you will see that it all ?ts together.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
agents algorithm annotation assembly object assembly structure attribute browser clauses Computer Science concept conﬁguration conﬂict Constraint Programming constraint solver database Declarative Programming deﬁned deﬁnition demo demo(Agent derived DISs described description logics detection diﬀerent eﬀective eﬃcient engine enterprise application environment est(P example execution ﬁgure ﬁnite ﬁrst forged product function global holds identiﬁable Imperative Programming implementation INAP inference Information Systems injection molding Inside Prolog interaction International Conference isan Japan Java knowledge base Knowledge Management Knowledge Market knowledge processing server knowledge representation knowledge-based system language learning LNAI Logic Programming loop matchmaking meta_statement(T meta-logical mobile devices multi-agent multi-threaded NISs node non-empty subset not-last operation optimization pe-relations Pocket KRHyper predicate problem process plan Prolog Cafe qCashier qSeller rectangles representation require Rough Set rules satisﬁability scheduling semantic Semantic Web sequences size(qSeller speciﬁcation Springer-Verlag SW Server SWI-Prolog task set Technology threads turtle++ ubiCMS Umeda variables veriﬁcation