2 research outputs found
Reference Framework and Research Agenda
Cloud Computing is a topic that has gained momentum in the last years. Current studies show that an
increasing number of companies is evaluating the promised advantages and considering making use of
cloud services. In this paper we investigate the phenomenon of cloud computing and its importance for
the operation of ERP systems. We argue that the phenomenon of cloud computing could lead to a
decisive change in the way business software is deployed in companies. Our reference framework
contains three levels (IaaS, PaaS, SaaS) and clarifies the meaning of public, private and hybrid clouds.
The three levels of cloud computing and their impact on ERP systems operation are discussed. From the
literature we identify areas for future research and propose a research agenda
Weighted DAG Automata for Semantic Graphs
Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning. A deficit in this area of research is a formal framework for creating, combining, and using models involving graphs that parallels the frameworks of finite automata for strings and finite tree automata for trees. A possible starting point for such a framework is the formalism of directed acyclic graph (DAG) automata, defined by Kamimura and Slutzki and extended by Quernheim and Knight. In this article, we study the latter in depth, demonstrating several new results, including a practical recognition algorithm that can be used for inference and learning with models defined on DAG automata. We also propose an extension to graphs with unbounded node degree and show that our results carry over to the extended formalism