Mythical and religious belief systems in a social context can be regarded as a conglomeration of sacrosanct rites which revolve around substantive values that involve an element of faith. Moreover, we can conclude that ideologies, myths and beliefs can all be analyzed in terms of systems within a cultural context. The significance of being able to define ideologies, myths and beliefs as systems...

ion Refinement for Ontology Materialization Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, and Vincent Vialard 1 University of Ulm, Ulm, Germany, [email protected] 2 derivo GmbH, Ulm, Germany, @derivo.de Abstract. We present a new procedure for ontology materialization (computing all entailed instances of every atomic concept) in which reasoning over...

This paper is an extended abstract of [5], which discusses the incremental maintenance of materialized ontologies in a rule-enabled Semantic Web. The reader may wonder how this relates to Datalog, a language that has been proposed in the deductive database context. However, the semantics underlying Web ontology languages can often be realized by translating the ontology into appropriate Datalog...

Data cube materialization is a classical database operator introduced in Gray et al. (Data Mining and Knowledge Discovery, Vol. 1), which is critical for many analysis tasks. Nandi et al. (Transactions on Knowledge and Data Engineering, Vol. 6) first studied cube materialization for large scale datasets using the MapReduce framework, and proposed a sophisticated modification of a simple broadca...

Since a data warehouse deals with huge amounts of data and complex analytical queries, online processing and answering to users’ queries in data warehouses can be a serious challenge. Materialized views are used to speed up query processing rather than direct access to the database in on-line analytical processing. Since the large number and high volume of views prevents all of the views from b...

Pipelining is a widely used technique that query execution engines employ to improve individual query execution times. In recently proposed settings, pipelining is used as an alternative to materialization to evaluate query plan graphs, where nodes in a query plan can have multiple parents. Such scenarios include shared table scans, runtime operator sharing, parallel sorting, and pipelined Mult...

View materialization is a central issue in logical design of data warehouses since it is one of the most powerful techniques to improve the response to the workload. Most approaches in the literature only focus on the aggregation patterns required by the queries in the workload; in this paper we propose an original approach to materialization in which the workload is characterized by the presen...