
doi: 10.1007/bf01934069
During the last years a number of approaches to information modeling have been presented. An information model is then assumed to be expressed in some formalism based on a set of basic concepts and construction rules. Some approaches also include inference rules, but few include consistency criteria for information models. Two different approaches to information modeling have been analyzed within the framework of first-order predicate logic. In particular, their consistency criteria are compared with that of predicate logic. The approaches are completely expressible in predicate logic and the consistency criteria have a logical counterpart only when a set of implicit assumptions is stated explicitly.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
