Showing papers in "Information Systems in 2003"

TL;DR: It is argued that AOR modeling offers a research perspective to conceptually integrate the static, dynamic and deontic aspects of organizations and organizational information systems.

TL;DR: The framework was used to quality assure a data model in a large application development project (product quality) and reengineer application development processes to build quality into the data analysis process (process quality).

TL;DR: This survey paper presents a comprehensive overview of various proposed cancer classification methods and evaluates them based on their computation time, classification accuracy and ability to reveal biologically meaningful gene information.

TL;DR: The characteristics of access control in an enterprise environment are examined and a task-role-based access control (T-RBAC) model founded on concept of classification of tasks is introduced.

TL;DR: A novel order-preserving approach to derive a process-view from a base process which can preserve the original ordering of activities in the base process is presented and increased the flexibility and functionality of workflow management systems.

TL;DR: A generic reverse engineering process, aimed at developing a model that captures the available alternatives at different application levels of an Enterprise Resource Planning (ERP) system, and develops criteria for evaluating modeling languages for this purpose.

TL;DR: This work formalises the concept of a snowflake schema in terms of an acyclic database schema whose join tree satisfies certain structural properties and defines a normal form for snowflake schemas which captures its intuitive meaning with respect to a set of functional and inclusion dependencies.

TL;DR: In contrast to other proposals of keys for XML, it is shown that these keys are always (finitely) satisfiable, and their (finite) implication problem is finitely axiomatizable.

TL;DR: A sequence of multidimensional normal forms is established that allow reasoning about the quality of conceptual data warehouse schemata in a rigorous manner and address traditional database design objectives such as faithfulness, completeness, and freedom of redundancies.

TL;DR: Algorithms that investigate characteristics of an existing legacy database in order to identify candidate keys of all relations in the relational schema, to locate foreign keys, and to decide on the appropriate links between the given relations are developed.

TL;DR: A tetrahedral soft tissue model that can be used in a surgery planning system to predict soft tissue changes due to skeletal changes and a way to directly calculate the deformation of the model due to external changes is proposed.

TL;DR: A method to measure mechanical properties using surgical instant adhesive (surgical glue) made easier to define the mechanical boundary conditions for test pieces, and can identify the stress-strain relationship of liver samples in the transition range from compression to elongation.

TL;DR: This paper presents specialized indexing schemes for dynamically and progressively maintaining temporal and spatio-temporal aggregates and proposes a general framework of aggregating at multiple time granularities for these schemes.

TL;DR: This work presents several experiments towards the parameterization of the computerized soft tissues model for bio-tissues based on a mass-spring-like approach from the elastic properties of real materials.

TL;DR: This paper proposes a framework for addressing the issues involved in deluging volumes of structured and unstructured data contained in databases, data warehouses, and the global Internet, and is able to prove that when a source has a valid interpretation, the generated mapping produces avalid interpretation for the part of the target loaded from the source.

TL;DR: In this article, an approach for specifying management views in the requirement specification phase of information warehouse projects is presented, based on a framework relating development phases and abstraction layers, the roles of documents are outlined.

TL;DR: To superimpose a 3D model of the liver, its vessels and tumors (reconstructed from CT images) on external video images of the patient for hepatic surgery guidance, a new Maximum Likelihood approach is designed to account for this existing noise.

TL;DR: This paper proposes a new strategy for maintaining association rules in dynamic databases that uses weighting technique to highlight new data, and proposes a competitive model to 'promote' infrequent itemsets to frequent itemsets, and to 'degrade' frequent itemset to infrequent Itemsets incrementally.

TL;DR: The Skalla system translates OLAP queries, specified as certain algebraic expressions, into distributed evaluation plans which are shipped to individual sites, and proposes a variety of optimizations to minimize both the synchronization traffic and the local processing done at each site.

TL;DR: A haptic rendering algorithm, based on a multi-point collision detection approach which provides realistic tool interactions and both haptics and graphics are rendered at sub-voxel resolution, which leads to a high level of detail and enables the exploration of the models at any scale.

TL;DR: A patient-specific biomechanical model of thebrain able to recover the global deformation of the brain during this type of neurosurgical procedure for Parkinson's disease is proposed.

TL;DR: In this paper, the authors show that the presence of aggregation functions may lead to undecidability of (intentional) inference problems such as satisfiability and subsumption, and present decision procedures for the relevant inference problems.

TL;DR: In this paper, a spatial database system called DEDALE is presented, which provides an abstract and non-specialized data model and query language for representating and manipulating geometric data in arbitrary dimension.

TL;DR: The idea presented in this paper is to extract a condensed representation of the frequent patterns called disjunction-bordered condensation (DBC), instead of extracting the whole frequent pattern collection, and it is shown that this condensed representation can be used to regenerate all frequent patterns and their exact frequencies.

TL;DR: This paper develops two novel greedy algorithms that construct the execution plan in a top-down manner by identifying in each step the most beneficial view, instead of finding the most promising query.

TL;DR: The paper provides an overview of the emerging field of biodiversity and ecosystem informatics and demonstrates how the demands of biodiversity or ecosystem research can advance the understanding and use of information technologies.

TL;DR: A system dedicated to the simulation of various physically-based and mainly deformable objects for surgical simulation where many models are necessary to simulate the organs and the user's tools and uses a fast penalty-based method which uses approximation of the objects depth map by spheres.

TL;DR: A technique to obtain query result size estimates effectively in an XML database based on a novel histogram encoding of element occurrence position is proposed, and accurate and robust estimates can be achieved, with limited space, and at a minuscule computational cost.

TL;DR: A "historical" perspective of the SAMOS project is presented and the rule model of SAMOS is described, which represents a smooth integration of ECA-rules into an object-oriented data model.

TL;DR: Genomic data modeling lessons address issues particularly important to genomic data modeling such as modeling contextual information, modeling intermediate and derived data, modeling inconsistent data, and modeling categorical rules.