In this paper, we describe an item-familiarity account of the semi-productivity of morphological and lexical rules, and illustrate how it can be applied to practical issues which arise when building large scale lexical knowledge bases which utilize lexical rules. Our approach assumes that attested uses of derived words and senses are explicitly recorded, but that productive use of lexical rules...

Optimisations to the standard Rete algorithm are presented as a means of bringing advanced, rule-based artificial intelligence techniques to low-memory systems — in particular, current and future generations of games consoles. A brief introduction to Rete and the issues involved in its implemention on low memory hardware is followed by a discussion of the solutions developed. By sharing resourc...

A semantic decision table (SDT) is a decision table properly annotated with domain ontologies. In this paper, we focus on validation and verification issues (V&V) for SDT. We use Semantic Decision Rule Language (SDRule-L), which is an extension to the Object-Role Modeling language (ORM/ORM2) for modeling SDT commitments. With these commitments, business rule modelers can discover invalid decisi...

Many distributed computing environments are based on the paradigms of peer-to-peer networks and grid-based computing. These environments tend to be structurally dynamic but with volatile resource and service availability. Such environments have rules, constraints, and guidelines that govern how tasks are performed. The rules describe how resources, components and services should be allocated an...

Association Rules are discovered by identifying relationships among sets of items in a transaction database with two measures which quantify the support and confidence of the rule. Finding frequent itemsets is computationally the most expensive step in Association Rule discovery and therefore, it has attracted significant research attention. This paper reviews Apriori related and Eclat algorith...

Cost-effective health care is at the forefront of today's important health-related issues. A research team at the University of Pittsburgh has been interested in lowering the cost of medical care by attempting to define a subset of patients with community-acquire pneumonia for whom outpatient therapy is appropriate and safe. Sensitivity and specificity requirements for this domain make it diffi...

Traditionally, high-resolution geographic data are managed in a base database and coarser resolution databases are produced in an often costly batch generalization process. Kilpeläinen and Sarjakoski (1995) introduced the concept of an incremental generalization environment where previously generalized databases are updated in an incremental way based on the changes to the base database. The pa...

This paper addresses the stabilization issues for a class of uncertain switched neutral systems with nonlinear perturbations. Based on new classes of piecewise Lyapunov functionals, the stability assumption on all the main operators or the convex combination of coefficient matrices is avoid, and a new switching rule is introduced to stabilize the neutral systems. The switching rule is designed ...

s: This paper examines the optimal trade negotiation strategies in the trade negotiation involving multi-parties such as Doha Development Agenda, which is characterized by asymmetric multiple negotiators with multi-trade issues. Due to the consensus rule, which is the formal decision making rule of WTO, bilateral bargaining formula is often taken simultaneously with the multilateral bargaining ...

We examine the basic assumptions underlying a scenario due to Kibble that is widely used to estimate the production of topological defects. We argue that one of the crucial assumptions, namely the geodesic rule, although completely valid for global defects, becomes ill defined for the case of gauged defects. We address the issues involved in formulating a suitable geodesic rule for this case an...