Integrating Distributed Sources of Information for Construction Cost Estimating using Semantic Web and Semantic Web Service technologies

A construction project requires collaboration of several organizations such as owner, designer, contractor, and material supplier organizations. These organizations need to exchange information to enhance their teamwork. Understanding the information received from other organizations requires specialized human resources. Construction cost estimating is one of the processes that requires information from several sources including a building information model (BIM) created by designers, estimating assembly and work item information maintained by contractors, and construction material cost data provided by material suppliers. Currently, it is not easy to integrate the information necessary for cost estimating over the Internet. This paper discusses a new approach to construction cost estimating that uses Semantic Web technology. Semantic Web technology provides an infrastructure and a data modeling format that enables accessing, combining, and sharing information over the Internet in a machine processable format. The estimating approach presented in this paper relies on BIM, estimating knowledge, and construction material cost data expressed in a web ontology language. The approach presented in this paper makes the various sources of estimating data accessible as Simple Protocol and Resource Description Framework Query Language (SPARQL) endpoints or Semantic Web Services. We present an estimating application that integrates distributed information provided by project designers, contractors, and material suppliers for preparing cost estimates. The purpose of this paper is not to fully automate the estimating process but to streamline it by reducing human involvement in repetitive cost estimating activities

Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e., processes which are carried out using elastic cloud resources. Despite the manifold benefits of elastic processes, there is still a lack of solutions supporting them. In this paper, we identify the state of the art of elastic Business Process Management with a focus on infrastructural challenges. We conceptualize an architecture for an elastic Business Process Management System and discuss existing work on scheduling, resource allocation, monitoring, decentralized coordination, and state management for elastic processes. Furthermore, we present two representative elastic Business Process Management Systems which are intended to counter these challenges. Based on our findings, we identify open issues and outline possible research directions for the realization of elastic processes and elastic Business Process Management.Comment: Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and P. Hoenisch (2015). Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud. Future Generation Computer Systems, Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.00

Framework for Interoperable and Distributed Extraction-Transformation-Loading (ETL) Based on Service Oriented Architecture

Extraction. Transformation and Loading (ETL) are the major functionalities in data warehouse (DW) solutions. Lack of component distribution and interoperability is a gap that leads to many problems in the ETL domain, which is due to tightly-coupled components in the current ETL framework. This research discusses how to distribute the Extraction, Transformation and Loading components so as to achieve distribution and interoperability of these ETL components. In addition, it shows how the ETL framework can be extended. To achieve that, Service Oriented Architecture (SOA) is adopted to address the mentioned missing features of distribution and interoperability by restructuring the current ETL framework. This research contributes towards the field of ETL by adding the distribution and inter- operability concepts to the ETL framework. This Ieads to contributions towards the area of data warehousing and business intelligence, because ETL is a core concept in this area. The Design Science Approach (DSA) and Scrum methodologies were adopted for achieving the research goals. The integration of DSA and Scrum provides the suitable methods for achieving the research objectives. The new ETL framework is realized by developing and testing a prototype that is based on the new ETL framework. This prototype is successfully evaluated using three case studies that are conducted using the data and tools of three different organizations. These organizations use data warehouse solutions for the purpose of generating statistical reports that help their top management to take decisions. Results of the case studies show that distribution and interoperability can be achieved by using the new ETL framework

A Platform-based Design Approach for Flexible Software Components

We develop a design method that promotes flexible component design based on a common component platform with various plug-ins. The approach increases the flexibility and expandability of software components, which improves their reuse opportunities. We argue that such a flexible component design can expand reuse from relatively small infrastructure items, such as user interfaces, printing functionality, and data access modules, to the core of the application domain. Reusing such domain-specific items helps realize the true value of component-based software development. Following a design science research approach, we evaluated the component design method by assessing its correctness and its application to different scenarios. We also recruited a panel of experts to assess it

Modeling of substitution augmentation modification redefinition in academic information system education 3.0: a case study of sistem informasi akademik, Universitas Langlangbuana

The emergence of Education 3.0 as a new paradigm in education has been spread widely in many educational institutions, especially in higher education institutions (HEIs). Many of them have been implementing Education 3.0, such as socially constructed, technology-oriented, and mobile learning. However, the implementation caused some problems. The new procedures are causing administrative problems, especially in the academic affair (e.g., redundant administrative works, late to submit final marks). The problems also mentioned the mobile access issue. Some information and functionalities missed when accessing the academic information system (AIS) from the mobile device. Moreover, the implementation also needs to provide external involvement (parents and industry). The academic information system (AIS) can be used to support the characteristics of Education 3.0. The information system (IS) components possibly related to the characteristics of Education 3.0. The first phase of this research used a case study of Sistem Informasi Akademik, Universitas Langlangbuana to conduct qualitative research with a semistructured interview. A case study is beneficial in researching issues related to the institutional systems. The second phase is model development as an outcome. This research found that all the characteristics of Education 3.0 can support by the AIS. This research also found that administrative problems can be solved by integrating existing AIS with e-learning. The integrated AIS must support mobile platforms and also support parents and industry involvement. The platform issue must be concerned for future development. To accommodate all issues above, the existing AIS must transform by following a specific guide. A model needs to guide the transformation, and Substitution Augmentation Modification Redefinition (SAMR) framework used for modeling. A model called SAMR-AIS-Edu3.0 has been developed based on the research findings. The model has been validated with the data triangulation method

Cross-sectoral Process Modelling for Smart City Development

Purpose- Integration of city systems is needed to provide flexibility, agility, and access to real-time information for the creation and delivery of efficient services in a smart and sustainable city. Consequently, City Process Modelling (CPMo) becomes an essential element of connecting various city sectors. However, to date, there has been limited research on the requirements of an ideal CPMo technique and the usefulness of available Business Process Modelling (BPMo) tools/techniques. This research develops a framework for CPMo to guide smart city developers when modelling city processes. Design/Methodology/Approach- Data from literature analysis was gathered to derive capabilities of existing BPMo techniques. Then, semi-structured interviews were conducted to thematically and qualitatively explore the requirements, challenges, and success factors of CPMo. Findings- The interview findings offered 17 requirements to be addressed by a CPMo technique, along with several challenges and success factors to be considered when implementing CPMo techniques. Then, the paper presents the results of mapping these requirements against 12 existing BPMo capabilities, identified from the literature, concluding that a significant number of requirements (which are mainly related to inputs and visualisation) have been left unfulfilled by existing BPMo tools/techniques. Hence, developing an innovative CPMo technique is necessary to address the components of unfulfilled requirements. Originality/value- The innovative framework presented in this paper justifies the CPMo requirements, which are unexplored in existing SCD frameworks. Moreover, it will act as a guide for smart city developers, to model cross-sectoral city processes, helping them progress their SCD road map and make their cities smart

A Semantics-Based Approach to Construction Cost Estimating

A construction project requires collaboration of different organizations such as owner, designer, contractor, and resource suppliers. These organizations need to exchange information to improve their teamwork. Understanding the information created in other organizations requires specialized human resources. Construction cost estimating is one of the processes that requires information collected from several sources including a building information model (BIM) created by designers, estimating assembly and work item information maintained by contractors, and construction resource cost information provided by resource suppliers. Currently, it is not easy for computers to integrate the information for construction cost estimating over the Internet. This study discusses a new approach to construction cost estimating that uses the Semantic Web technology. The Semantic Web technology provides a data modeling format and the required infrastructure that enables accessing, combining, and sharing information over the Internet in a machine processable format. The estimating approach presented in this study relies on BIM, estimating knowledge, and construction material cost data to be represented in the Semantic Web. The approach presented in this study makes the various sources of cost estimating data accessible as Simple Protocol and Resource Description Framework Query Language (SPARQL) endpoints or semantic web services. This study presents an estimating approach that integrates distributed information provided by project designers, contractors, and material suppliers for preparing cost estimates. The purpose of this study is not to fully automate the estimating process but to streamline it by reducing human involvement in repetitive cost estimating activities