CFP and Latest Issue of Journal of Database Management JDM 20(4)

The contents of the latest issue of: Journal of Database Management (JDM) Official Publication of the Information Resources Management Association Volume 20, Issue 4, October-December 2009 Published: Quarterly in Print and Electronically ISSN: 1063-8016 EISSN: 1533-8010 Published by IGI Publishing, Hershey-New York, USA www.igi-global.com/jdm Editor-in-Chief: Keng Siau, University of Nebraska – Lincoln, USA Impact factor of this journal: 2.0 EDITORIAL PREFACE It Is About Time: Incorporating Temporal Data Semantics into Conceptual Models Vijay Khatri, Indiana University, USA In this paper, the author highlights issues related to capturing temporal data semantics during conceptual design and further describes an approach that augments a conventional conceptual model using temporal annotations (see, for example, Gregersen & Jensen, 1998; Khatri, Ram, & Snodgrass, 2004; Zimanyi, Parent, Spaccapietra, & Pirotte, 1997). The author describes a temporal conceptual design approach that segregates the specification of “what” from “when.” Because of increasing importance in historical data and data lineage (or provenance) and its impact on regulatory compliance related to multi-year retention periods for data, future research is required to examine how to effectively capture temporal data semantics during conceptual design. This article also discusses the implications for research and practice. To read the preface, please consult this issue of JDM in your library. PAPER ONE A Cost-Based Range Estimation for Mapping Top-k Selection Queries over Relational Databases Anteneh Ayanso, Brock University, Canada Paulo B. Goes, University of Arizona, USA Kumar Mehta, George Mason University, USA Finding efficient methods for supporting top-k relational queries has received significant attention in academic research. One of the approaches in the recent literature is query-mapping, in which top-k queries are mapped (translated) into equivalent range queries that relational database systems (RDBMSs) normally support. This approach combines the advantage of simplicity as well as practicality by avoiding the need for modifications to the query engine or specialized data structures or indexing techniques to handle top-k queries separately. However, existing methods following this approach fall short of adequately modeling the problem environment and providing consistent results. In this article, the authors propose a cost-based range estimation model for the query-mapping approach. This article provides a methodology for trading-off relevant query execution cost components and mapping a top-k query into a cost-optimal range query for efficient execution. To obtain a copy of the entire article, click on the link below. http://www.infosci-on-demand.com/content/details.asp?ID=34697 PAPER TWO Designing Document SQL (DSQL): An Accessible yet Comprehensive Ad-Hoc Querying Frontend for XQuery Arijit Sengupta, Wright State University, USA V. Ramesh, Indiana University, USA This article presents DSQL, a conservative extension of SQL, as an ad-hoc query language for XML. The development of DSQL follows the theoretical foundations of first order logic and uses common query semantics already accepted for SQL. DSQL represents a core subset of XQuery that lends to optimization techniques while at the same time allows easy integration into current databases and applications that use SQL. The intent of DSQL is not to replace XQuery, the current W3C recommended XML query language, but to serve as an ad-hoc querying frontend to XQuery. Further, the authors present proofs for important query language properties, such as complexity and closure. To obtain a copy of the entire article, click on the link below. http://www.infosci-on-demand.com/content/details.asp?ID=34698 PAPER THREE A Dynamic Grid File for High-Dimensional Data Cube Storage and Range-Sum Querying Wen-Chi Hou, Southern Illinois University, USA Xiaoguang Yu, Southern Illinois University, USA Chih-Fang Wang, Southern Illinois University, USA Cheng Luo, Coppin State University, USA Michael Wainer, Southern Illinois University, USA In this article, the authors propose to use the grid file to store multi-dimensional data cubes and answer angesum queries. The grid file is enhanced with a dynamic splitting mechanism to accommodate insertions of data. The space requirement grows linearly with the dimension of the data cube; compared with the exponential growth of conventional methods that store pre-computed aggregate values for range-sum queries. The grid file structure can also respond to range queries quickly. The authors compare it with an approach that uses the R*-tree structure to store the data cube. To obtain a copy of the entire article, click on the link below. http://www.infosci-on-demand.com/content/details.asp?ID=34699 For full copies of the above articles, check for this issue of the Journal of Database Management (JDM) in your institution's library. This journal is also included in the IGI Global aggregated “InfoSci-Journals” database: www.infosci-journals.com. CALL FOR PAPERS Mission of JDM: The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources. The journal is targeted at both academic researchers and practicing IT professionals. Coverage of JDM: The Journal of Database Management (JDM) publishes three types of rigorous and high quality articles: research articles, research notes, and research reviews. Research articles are full innovative findings that make substantial theoretical and empirical contributions to knowledge in the field by using various theoretical and methodological approaches. Research notes are novel and complete but not as comprehensive as full research articles; they include exploratory studies and methodological articles. Research reviews are insightful and carefully crafted articles that conceptualize research areas, synthesize previous innovative findings, advance the understanding of the field, and identify and develop future research directions. Authors are welcome to submit manuscripts that qualify for any of the three categories. Topics of interest to the journal include, but are not limited to, the following areas: Agile systems development Bio-informatics Cognitive modeling Component engineering Conceptual modeling Data quality Data warehousing and data mining Database for advanced applications Database management and administration Database models and query languages Database security and integrity Design science Domain-driven development E-business and m-commerce models and architectures Empirical software engineering Enterprise systems and supply chain integration Extreme modeling and extreme programming Geographical information systems Human-computer interaction Heterogeneous and distributed database Information and knowledge modeling Intelligent agents and agent-based applications Knowledge engineering and management Method engineering and metamodeling Object oriented methods and methodologies Requirements engineering Service-oriented architecture/service-oriented computing Semantic Web and ontology Software engineering System analysis and design Unified modeling language and unified process Virtual team and Web 2.0 Web database and Web-based information systems Web design methods and methodologies Interested authors should consult the journal's manuscript submission guidelines at www.igi-global.com/jdm.   All inquiries and submissions should be sent to: Editor-in-Chief, Dr. Keng Siau at jdm@unlnotes.unl.edu