Showing papers in "Information Systems in 2012"

TL;DR: This work introduces a methodology for the application of process mining techniques that leads to the identification of regular behavior, process variants, and exceptional medical cases in a case study conducted at a hospital emergency service.

TL;DR: The results of this study indicate that the HeuristicsMiner algorithm is especially suited in a real-life setting, and it is shown that, particularly for highly complex event logs, knowledge discovery from such data sets can become a major problem for traditional process discovery techniques.

TL;DR: The results of this study have provided a very useful reference for scholars and managers to identify the relevant issues of ERP projects failure in developing countries.

TL;DR: The aim of this paper is to provide a better, more structured and systematic understanding of the major relations amongst various risk factors, and between risk factors and the specific effects associated with ERP projects, on the other.

TL;DR: An ontology-based information extraction and retrieval system and its application to soccer domain is presented and a keyword-based semantic retrieval approach is proposed, which is improved considerably using domain-specific information extraction, inference and rules.

TL;DR: The results of trace alignment on one synthetic and two real-life event logs are reported, and it is shown that trace alignment has significant promise in process diagnostic efforts.

TL;DR: A parsing algorithm is developed that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser and shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.

TL;DR: A necessary and sufficient condition for an unstructured acyclic process model to have an equivalent well-structured process model under fully concurrent bisimulation, as well as a complete structuring method is defined.

TL;DR: The authors examined the design of business process diagrams in contexts where novice analysts only have basic design tools such as paper and pencils available, and little to no understanding of formalized modeling approaches.

TL;DR: A peer-to-peer data warehousing architecture based on a network of heterogeneous peers, each exposing query answering functionalities aimed at sharing business information is envisioned, and a query reformulation framework that relies on the translation of mappings, queries, and multidimensional schemata onto the relational level is introduced.

TL;DR: A novel verification approach inspired by the ''operating guidelines'' used for partner synthesis is presented, which views the configuration process as an external service, and compute a characterization of all such services which meet particular requirements via the notion of configuration guideline.

TL;DR: This paper presents a formal Object-Z formal model of WSMO, where different aspects of the language have been precisely defined within one unified framework, and provides a formal unambiguous model which can be used to develop tools and facilitate future development.

TL;DR: This paper addresses the issue of efficiently processing continuous skyline queries in road networks by proposing two novel and important distance-based skyline queries, namely, the continuousd"@e-skylinequery (Cd" @e-SQ) and the continuous k nearest neighbor-Skyline query (Cknn-S Q).

TL;DR: It is shown that five distinct tool features positively affect usefulness, ease of use and satisfaction beliefs of users when using modeling grammars for process modeling.

TL;DR: It is concluded that trace equivalence is not suited to be applied as a consistency notion, whereas the notions based on behavioural profiles approximate the perceived consistency of the subjects significantly.

TL;DR: Results show that when using only a small number of labeled training examples, the CS-EM outperforms the other competing methods on majority of the selected UCI data sets across different cost ratios, especially when cost ratio is high.

TL;DR: A model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets suitable for the design of a knowledge base for real-time, multi-agent-based intelligent systems that include expert or user human-like knowledge.

TL;DR: This work presents a requirements-driven approach to behavioral customization of software systems that does not assume adoption of a particular development methodology, platform, or variability implementation technique and keeps the reasoning computation overhead from interfering with the execution of the configured application.

TL;DR: A set of Query/View/Transformation rules to include traceability in DWs in an automatic way, allowing us to obtain a MD conceptual model of the DW, as well as a trace model, and is able to trace every requirement to the MD elements, further increasing user satisfaction.

TL;DR: A multi-touch tabletop system for browsing image databases, conceived for museums and art gallery exhibitions, that allows users to interactively create and manipulate image clusters where images are grouped according to their pictorial similarity.

TL;DR: A complete complexity analysis of the conjunctive query answering problem under separable ER^+ schemata, and also under several sublanguages of ER^+.

TL;DR: Several new algorithms are introduced that contribute to bridge the gap between the practice of mapping generation and the theory of data exchange, showing how, given a mapping scenario, it is possible to generate an executable script that computes core solutions for the corresponding data exchange problem.

TL;DR: This work characterize the preservation of selected information in terms of the notions of invertibility and query preservation, in a setting when transformations are specified as a view V (a set of queries), and source information is selected by a query Q.

TL;DR: A novel activity aggregation method is proposed and how to discover the activity aggregation habits of human modelers is suggested, which extends beyond existing approaches that merely exploit model structural characteristics.

TL;DR: Experimental results demonstrate that the proposed method significantly outperforms the state-of-the art algorithms and show the method's feasibility for personalized searches in social media services.

TL;DR: This paper describes a component-based development paradigm that conciliates the core strengths of these three approaches inside a single model and language, and calls this new paradigm distributed UI orchestration, so as to reflect the mashup-like and process-based nature of the target applications.

TL;DR: The notion of inCloud (information Cloud) is introduced and an approach to web resource clouding for the construction of in clouds is proposed, built for a target entity of interest by distinguishing how much prominent the retrieved web resource(s) are with respect to the target entity.

TL;DR: The effectiveness of the systematic design strategies for combined similarity functions in this context relies on the combination of multiple evidences, with the help of estimated quality of the individual similarity values and with particular attention to missing information that is common in Web context.

TL;DR: In this editorial letter, a birds-eye introduction to Process-aware Information Systems (PAIS) is provided – a sub-field of Information Systems that has drawn growing attention in the past two decades.

TL;DR: A novel Possibility-based Vague KNN (PVKNN) algorithm is proposed to process the query efficiently, which determines the CKNN query results with possibility within each division time subinterval of given time interval by applying the vague set theory.