In this technical report we present a database schema used to store Wikipedia so it can be easily used in query-intensive applications. In addition to storing the information in a way that makes it highly accessible, our schema enables users to easily formulate complex queries using information such as the anchor-text of links and their location in the page, the titles and number of redirect pa...

This paper focuses on the branching process for solving any constraint satisfaction problem (CSP). A parametrised schema is proposed that (with suitable instantiations of the parameters) can solve CSP’s on both finite and infinite domains. The paper presents a formal specification of the schema and a statement of a number of interesting properties that, subject to certain conditions, are satisf...

The structure and content of XML schemas impacts significantly the quality of data respectively documents, defined by XML schemas. Attempts to evaluate the quality of XML schemas have been made, dividing them into six quality aspects: structure, transparency and documentation, optimality, minimalism, reuse and integrability. XML schema quality index was used to combine all the quality aspects a...

The present study investigates the efficacy of guided learning approach in promoting self-directedness among first-year, first-semester university students Malaysia. Based on a sample 37 participants, this employs SECI (Socialization, Externalization, Combination, and Internalization) Model as theoretical framework to examine transfer knowledge between lecturer students, well students. Using an...

The theory of complexity spaces has been introduced in [Sch95] as part of the development of a topological foundation for Complexity Analysis. The topological study of these spaces has been continued in the context of the theory of upper weightable spaces ([Sch96]), while the specific properties of total boundedness and Smyth completeness have been analyzed in [RS96]. Here we introduce a techni...

Although information systems (IS) problem solving involves knowledge of both the IS and application domains, little attention has been paid to the role of application domain knowledge. In this study, which is set in the context of conceptual modeling, we examine the effects of both IS and application domain knowledge on different types of schema understanding tasks: syntactic and semantic compr...

Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to make predictions more accurate. We extend the original schema mechanism [1] to handle arbitrary discrete-valued sensors, improve the original learning criteria to handle POMDP domains, and better maintain hidden state b...

The metadata schema for records management must have not only the information elements inherent in records themselves, but also the robust structure that can realize the specialization required by application domains and manage the life cycle of records management business. The metadata system should be consisted of a set of appropriate metadata elements based on the conceptual information mode...