• Volume 4,Issue 1,2010 Table of Contents
    Select All
    Display Type: |
    • >Special Issue of KSEM2009
    • Preface

      2010, 4(1):1-2.

      Abstract (3841) HTML (0) PDF 79.25 K (2720) Comment (0) Favorites


    • Computational Complexity and Anytime Algorithm for Inconsistency Measurement

      2010, 4(1):3-21.

      Abstract (5591) HTML (0) PDF 478.90 K (3197) Comment (0) Favorites

      Abstract:Measuring inconsistency degrees of inconsistent knowledge bases is an important problem as it provides context information for facilitating inconsistency handling. Many methods have been proposed to solve this problem and a main class of them is based on some kind of paraconsistent semantics. In this paper, we consider the computational aspects of inconsistency degrees of propositional knowledge bases under 4-valued semantics. We ˉrst give a complete analysis of the computational complexity of computing inconsistency degrees. As it turns out that computing the exact inconsistency degree is intractable, we then propose an anytime algorithm that provides tractable approximations of the inconsistency degree from above and below. We show that our algorithm satisˉes some desirable properties and give experimental results of our implementation of the algorithm.

    • Mapping Relational Databases to the Semantic Web with Original Meaning

      2010, 4(1):23-37.

      Abstract (3267) HTML (0) PDF 189.17 K (3648) Comment (0) Favorites

      Abstract:Most of nowadays Web content is stored in relational databases. It is important to develop ways for representation of this information in the Semantic Web to allow software agents to process it intelligently. The paper presents an approach to translation of data, schema and the most important constraints from relational databases into the Semantic Web without any extensions to the Semantic Web languages.

    • Web-Based Semantic Similarity: An Evaluation in the Biomedical Domain

      2010, 4(1):39-52.

      Abstract (4230) HTML (0) PDF 188.91 K (3695) Comment (0) Favorites

      Abstract:Computation of semantic similarity between concepts is a very common problem in many language related tasks and knowledge domains. In the biomedical field, several approaches have been developed to deal with this issue by exploiting the structured knowledge available in domain ontologies (such as SNOMED-CT or MeSH) and specific, closed and reliable corpora (such as clinical data). However, in recent years, the enormous growth of the Web has motivated researchers to start using it as the corpus to assist semantic analysis of language. This paper proposes and evaluates the use of the Web as background corpus for measuring the similarity of biomedical concepts. Several ontology-based similarity measures have been studied and tested, using a benchmark composed by biomedical terms, comparing the results obtained when applying them to the Web against approaches in which specific clinical data were used. Results show that the similarity values obtained from the Web for ontology-based measures are at least and even more reliable than those obtained from specific clinical data, showing the suitability of the Web as information corpus for the biomedical domain.

    • A Conceptual Approach for Data Integration in Business Analytics

      2010, 4(1):53-67.

      Abstract (3617) HTML (0) PDF 1.37 M (3578) Comment (0) Favorites

      Abstract:We present some basic concepts of a modelling environment for data integration in business analytics. Main emphasis is on defining a process model for the different activities occurring in connection with data integration, which allow later on assessment of the quality of the data. The model is based on combination of knowledge and techniques from statistical metadata management and from workflow processes. The modelling concepts are presented in a problem oriented formulation. The approach is embedded into an open model framework which aims for a modelling platform for all kinds of models useful in business applications.

    • The Online Market Observatory: A Domain Model Approach

      2010, 4(1):69-88.

      Abstract (4097) HTML (0) PDF 2.28 M (4153) Comment (0) Favorites

      Abstract:The "Semantic Market Monitoring" (SEMAMO) project is intended to provide a flexible empirical instrument for the permanent collection of data -- notably, prices -- about products and services on offeneric online market observatory, SEMAMO capitalizes on a uniform data processing scheme covering all stages from automatic data capture using configurable mediators, through integration of Web-extracted data from multiple sources and their long-term storage in a persistent econometric database, up to statistical analyses feeding into flexible reporting functions. Based on a self-contained specification framework describing formally, by means of explicit models capturing market semantics, the online markets to be tracked, SEMAMO economizes the derivation of individual market monitoring applications. During run-time, a SEMAMO instance then seeks to adaptively optimize data quality and observation e±ciency based on both, previously gathered market evidence and customer-defined reporting requirements. The framework is evaluated experimentally in a practical application to online tourism.

    • Exploiting Ontology for Software License Agreements

      2010, 4(1):89-100.

      Abstract (4493) HTML (0) PDF 1.66 M (2818) Comment (0) Favorites

      Abstract:Software end-users need to sign licenses to seal an agreement with the product providers. Habitually, users agree with the license (i.e. terms and conditions) without fully understanding the agreement. To address this issue, an ontological model is developed to formulate the user requirements and license agreements formally. This paper, introduces ontological model that includes the abstract license ontology of common features found in di?erent license agreements. The abstract license ontology is then extended to a few real world license agreements. The resulting model can be used for di?erent purposes such as querying the appropriate licenses for a speciˉc requirement or checking the license terms and conditions with user requirements.

    • >Regular Papers
    • Modeling the Value-Based Software Process with Object-Petri-Nets

      2010, 4(1):101-119.

      Abstract (3870) HTML (0) PDF 3.65 M (3549) Comment (0) Favorites

      Abstract:Commercial organizations increasingly need software processes sensitive to busi- ness value, quick to apply, supportive of multi-stakeholder collaboration, and capable of early analysis for subprocess consistency and compatibility. This paper and a companion paper \Applying Value-Based Software Process: An ERP Example" present our experience in ap- plying a lightweight synthesis of a Value-Based Software Quality Achievement (VBSQA) process and an Object-Petri-Net (OPN) based process model to achieve a stakeholder win- win outcome for software quality achievement in an ERP software project in China. We attempt to answer such questions as (1) whether it is possible to model various project stakeholder perspectives using formal process modeling languages in a real-world project? (2) how to make stakeholders synchronize and stabilize their value propositions, activities and commitments as needed. The companion paper presents the VBSQA process and its application to the ERP project; this paper presents the OPN-based process modeling and its application. The application results of OPN process modeling conˉrmed that (1) the OPN- based process model provided project managers with a synchronization and stabilization framework for process activities, success-critical stakeholders and their value propositions; (2) process visualization and simulation tools signiˉcantly increased management visibility and controllability for the success of the software project.