By Wolfgang Bibel, Jean-Marie Nicolas (auth.), Joachim W. Schmidt, Constantino Thanos (eds.)

In the earlier, utilized synthetic intelligence platforms have been equipped with specific emphasis on normal reasoning equipment meant to operate successfully, even if simply fairly little domain-specific wisdom used to be on hand. In different phrases, AI know-how geared toward the processing of information saved lower than relatively common illustration schemes. these days, the point of interest has been redirected to the position performed by way of particular and targeted wisdom, instead of to the reasoning equipment themselves. Many new software structures are situated round wisdom bases, i. e. , they're in response to huge collections offacts, principles, and heuristics that cap­ ture wisdom a few particular area of functions. adventure has proven that once utilized in mixture with wealthy wisdom bases, even basic reasoning equipment will be tremendous potent in a large choice of challenge domain names. wisdom base building and administration will therefore develop into the major consider the advance of achievable knowledge-based ap­ plications. wisdom Base administration structures (KBMSs) are being proposed that supply straight forward environments for the development, retrieval, and manipUlation of huge shared wisdom bases. as well as deductive reasoning, KBMSs require operational features equivalent to concurrent entry, integrity upkeep, errors restoration, safeguard, and maybe distribution. For the improvement ofKBMSs, the necessity to combine innovations and applied sciences from varied parts, resembling synthetic Intel­ ligence, Databases, and common sense, has been widely known. one of many valuable matters for KBMSs is the framework used for wisdom representation-semantic networks, frames, ideas, and logics are proposed by way of the AI and common sense communities.

Show description

Read Online or Download Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications PDF

Similar nonfiction_8 books

The Liquid State and Its Electrical Properties

Because the numerous disciplines of technological know-how increase, they proliferate and have a tendency to turn into extra esoteric. limitations of specialised terminologies shape, which reason scientists to lose touch with their colleagues, and adjustments in points-of-view emerge which prevent the unification of data one of the a variety of disciplines, or even inside a given self-discipline.

Non-Commutative Ring Theory: Proceedings of a Conference held in Athens, Ohio Sept. 29–30, 1989

The papers of this quantity proportion as a standard aim the constitution and classi- fication of noncommutative jewelry and their modules, and care for themes of present study together with: localization, serial jewelry, excellent endomorphism earrings, quantum teams, Morita contexts, generalizations of injectivitiy, and Cartan matrices.

Modeling Students' Mathematical Modeling Competencies: ICTMA 13

Modeling scholars’ Mathematical Modeling capabilities bargains welcome readability and concentration to the overseas learn group in arithmetic, technological know-how, and engineering schooling, in addition to these occupied with the sciences of training and studying those matters.

Das Versuchswesen auf dem Gebiete der Pflanzenphysiologie mit Bezug auf die Landwirthschaft

This e-book used to be initially released ahead of 1923, and represents a duplicate of a major ancient paintings, protecting an analogous layout because the unique paintings. whereas a few publishers have opted to follow OCR (optical personality popularity) know-how to the method, we think this ends up in sub-optimal effects (frequent typographical mistakes, unusual characters and complicated formatting) and doesn't appropriately protect the historic personality of the unique artifact.

Additional resources for Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications

Sample text

The rule TempI, by which we conclude that two periods are equal, relies on the completeness of the program for "< <". The program for "«", Temp2, relies in turn on the completeness of "Start" and "End". This means that TempI may lead us to conclude that two periods are equal, when in fact we should not. Suppose, for example, we add to the event descriptions above the information that Leave(Jack professor 13) J2 < 13. Pictorially, we have the situation shown in Fig. 10. Jl 0 - - - - - - - + Jack professor 12 0 - - - - - - - + Jack professor _-------<0 J3 Jack professor Fig.

Q2 To show this succeeds we must show that the query after(E I) < < before(E4) ? Q3 fails. There is only one clause we can use, Temp2, and so we must show that the query End(after(E I) e") and Start(before(E4) e*) and e" :::::: e* ? Q4 fails. PROLOG tries to solve the first condition first. But this is just like the original query, and PROLOG goes into a non-terminating loop. It is possible to eliminate the loop, either by employing a more intelligent problem-solver than PROLOG or by using program transformation techniques.

John Mylopoulos: "Let me try to understand what Kowalski was saying about axiomatizing that provability relation. The idea is to have an axiom system for DEMO or PROVE. But, as I understand it, there is a danger if your axiom system is too strong that you can have an inconsistent theory. So in a certain sense you have to be careful about the axioms of the system and you have to make it a bit weaker for the kinds of things you would expect from the provability relations. Burniss is doing exactly the same kind of work, I think.

Download PDF sample

Download Foundations of Knowledge Base Management: Contributions from by Wolfgang Bibel, Jean-Marie Nicolas (auth.), Joachim W. PDF
Rated 4.75 of 5 – based on 48 votes