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The purpose of this paper is to describe the technical features, underlying concepts and implementation details of a novel Building Information Modeling (BIM)-integrated, graph-based platform developed to support BIM for facilities management through a usability driven visual representation of the construction operations building information exchange (COBie) spreadsheet data.

This paper is based on the iterative steps of design thinking and agile software development methodology. The conceptual development of the VisualCOBie platform is based on Gestalt’s principles of visual perception to facilitate usability and comprehension of the COBie data.

The paper demonstrates that Gestalt’s principles of visual perception provide a suitable conceptual as well as implementable basis for improving the usability and comprehension of COBie spreadsheets. The implemented BIM-integrated, graph-based VisualCOBie platform supports visual navigation and dynamic search, reducing the cognitive load of large spreadsheets that are common in facilities management software.

The usability, visual search and dependencies-based search of VisualCOBie can potentially transform how we implement and use facilities and information management systems in construction, where large spreadsheets are frequently used in conjunction with BIM and other tools. VisualCOBie also provides usability-based step towards BIM for facilities management.

The VisualCOBie approach provides a novel user interface and information management platform. This paper may also foster a potential paradigm shift in our approach to the representation and use of information exchange standards such as COBie, which are required to facilitate the research and practice on BIM for facilities management.

The purpose of this paper is to compare the use of two Object-Relational models against the use of a post-Relational model for a realistic application. Although real-world applications, in most cases, can be adequately modeled by the Entity-Relationship (ER) model, the transformation to the popular Relational model alters the representation of structures common in reality, like multi-valued and composite fields. Alternative database models have been developed to overcome these shortcomings.

Based on the ER model of a medical application, this paper compares the information representation, manipulation and enforcement of integrity constraints through PostgreSQL and Oracle, against the use of a post-Relational model composed of the Conceptual Universal Database Language (CUDL) and the Conceptual Universal Database Language Abstraction Level (CAL).

The CAL/CUDL pair, although more periphrastic for data definition, is simpler for data insertions, does not require the use of procedural code for data updates, produces clearer output for retrieval of attributes, can accomplish retrieval of rows based on conditions that address composite data with declarative statements and supports data validation for relationships between composite data without the need for procedural code.

To verify, in practice, the conclusions of the paper, complete implementation of a CAL/CUDL system is needed.

The use of the CAL/CUDL pair would advance the productivity of database application development.

This paper highlights the properties of realistic database-applications modelling and management that are desirable by developers and shows that these properties are better satisfied by the CAL/CUDL pair.

The main aim of this paper is to describe the potential benefits of enterprise building information models (EBIMs) for health-care institutions. The main research question addressed is how data from EBIM could be leveraged to create value for hospitals beyond design, construction and traditional facility management.

Three different prototypes, which use different technologies in combination with EBIM, are described to illustrate different uses of EBIM within the context of a hospital and health-care operations. The case study approach has been used to present the prototypes.

EBIM data, in combination with other data sources, increases the potential benefits of the data with respect to many health-care-related processes, during the operation of a health-care institution. The benefits of EBIM span beyond the design and construction life cycle phases of a hospital and provide value to a variety of stakeholders in multiple health-care-related processes.

The main limitation of this work is the limited sources of data and information such as the specific methods that were used in the design and development of each of the prototypes and a deeper insight into the design rationale and decisions. Another limitation of this paper is that the findings have not been validated.

This study demonstrates the value of convergence of a number of technologies such as EBIM, data and different types of technologies, throughout the life cycle of a building. This study also highlights the value of building information models (BIMs) data for supporting the design of novel educational and other types of application areas. The practical implications include the value for multiple stakeholders, such as resources planning, fleet and equipment management and contract negotiation. Benefits identified for resource planning can have strategic and financial implications at the management level. For patients, visitors and health-care personnel, there may be reduced infections, cleaner and pleasant facilities as well as a reduction of time to find relevant resources.

Social implications" could be replaced by "For patients, visitors and health-care personnel, there may be cleaner and pleasant facilities and easy navigation support through the hospital. Furthermore, enhanced access to knowledge and information about the artefact and assets in the hospital can enhance learning and knowledge sharing.

This study identifies the lack of research in using BIM with other data for value-added services for multiple stakeholders in the operations phase of a hospital and addresses that research gap.

This paper aims to provide top-level design and basic platform for intelligent application in China high-speed railway.

Based on the analysis for the future development trends of world railway, combined with the actual development needs in China high-speed railway, The definition and scientific connotation of intelligent high-speed railway (IHSR) are given at first, and then the system architecture of IHSR are outlined, including 1 basic platform, 3 business sectors, 10 business fields, and 18 innovative applications. At last, a basic platform with cloud edge integration for IHSR is designed.

The rationality, feasibility and implementability of the system architecture of IHSR have been verified on and applied to the Beijing–Zhangjiakou high-speed railway, providing important support for the construction and operation of the world’s first IHSR.

This paper systematically gives the definition and connotation of the IHSR and put forward the system architecture of IHSR for first time. It will play the most important role in the design, construction and operation of IHSR.

With reference to the methodology of Prof Choudhry in his book “Tawhidi Epistemology and its Applications: Economics, Finance, Science, and Society” in 2014, in a different context, this study aims to present the conceptual fundamental of Islamic finance investment, where investment decisions are governed by Divine law and Islamic jurisprudence, followed by the empirical nature of real-world issues where investment decisions are governed by only financial indicators, using the Amman Stock Exchange as a case study.

As pointed out by Raderbauer (2011), research and industry initiatives mainly focus on environmental measures while ignoring the economic and socio-cultural dimension of sustainability. Recognizing the importance of a holistic understanding to define sustainable business practices for the accommodation industry. Financial markets are no exception; moral and values either coming from secular or religious understanding help to examine relationships between attitudes and actions, as well as differences in attitudes and actions related to the business’ characteristics. In business, ethical considerations apply to a broad list of virtues that companies, their managers and employees customarily seek to adopt. These include, but are not limited to, the encouragement of honesty, integrity and efficiency, as well as diversity and communication skills. One of the most common sources of ethical considerations is religion. In these cases, religious doctrine imparts a sense of applied ethics, where one considers what right conduct is, how to live a life pleasing to the Divine and how one should treat him/herself and others in accordance with those teachings. Again, as ethical considerations is a broad philosophical concept, it can apply to any situation where the person ponders the nature of right and wrong, how to recognize the difference and the meaning those conclusions carry for everyday life.

It can be concluded that the overall the quantitative and qualitative statistics showed that accommodation business manager’s decision has had a very little positive attitude toward sustainability and the implementation of sustainable business practices in ASE financial transaction, no matter what classification, type of business, ownership or size of business. Only rules and regulations govern the attitude and behavior when making financial transactions with profit is the main target. Moral indicators could not be seen throughout the analysis and test used to achieve objectives of the study at hand. One can imagine that the combined two factors together “Moral-Material” in implementing financial transactions will produce a more beneficial outcome. Achieving a material and holistic objective will produce an optimum situation, which can contribute positively to sustainable development.

Islamic alternatives to traditional investment tools have been driven by the fact that such tools do not conform to the Islamic general principles of the Shari’ah (Usmani, 2002). There has been a growing desire to have funds in which profits are not based on riba or interest, which is prohibited in Islam. Muslims deem that profit should come because of efforts; this is not the case in interest-dominated investments. In addition, there is a desire to have investment portfolios, which are morally purified. Thus, investments in companies that are not in compliance with the Shari’ah are not permitted and are eliminated from the portfolio. To ensure compliance with the forgoing condition, Shari’ah advisory boards whose role is mainly to give assurance that money is managed within the framework of Islamic laws govern Islamic mutual funds (Hassan, 2001; Hassan, 2002). On the other hand, dealing with the applied part, the paper will deal with a case study from Jordan (Amman Stock Exchange), where, code of ethics is issued by virtue of the provisions of Article 26 (e) of the Securities Law No. 23 of 1997. The Amman Stock Exchange operates as an exchange for the trading of securities. The company lists securities such as equities and bonds. Its activities include providing enterprises with a means of raising capital by listing on the exchange; encouraging an active market in listed securities based on the determination of prices and trading; providing facilities and equipment for trading the recoding of trades and publication of prices; monitoring and regulating market trading; and coordinating with the Jordan Securities Commission as necessary. The company’s activities also include ensuring compliance with the law, fair market and investor protection; setting out and enforcing a professional code of ethics.

This study aims to develop a synthetic knowledge repository consisted of interrelated Web Ontology Language.

The ontology composes the main framework to categorize data of product life cycle with eco-design mode (PLC-EDM) and automatically infer specialists’ knowledge for data confirmation, eventually assisting the utilizations and generation of strategies toward decision-making

(i) utilization of a novel model with ontology mode for information reuse cross the different eco-design applications; (ii) generation of a sound platform toward life cycle evaluation; and (iii) implementation of the PLC-EDM model along the product generation process.

It cannot substitute an evaluation tool of life cycle. Certainly, this model does not predict the “target and range” and/or the depiction of the “utility module” that are basic activities in life cycle assessments as characterized through the international organization for standardization regulations.

As portion of this framework, a prototype Web application is presented which is applied to produce, reuse and verify knowledge of product life cycle.

By counting upon the ontology, the information conducted by the utilization is certainly semantically represented to promote the data sharing among various participants and tools. Besides, the data can be verified against possible faults by inferring over the ontology. Hence, a feasible way to a popular topic in the domain of eco-design applications extension in the industry.

The goals are: to lean on rigid modeling principles; and to promote the interoperability and diffusion of the ontology toward particular utilization demands.

The study, within the Increasing Resilience of Cultural Heritage (ResCult) project, aims to support civil protection to prevent, lessen and mitigate disasters impacts on cultural heritage using a unique standardised-3D geographical information system (GIS), including both heritage and risk and hazard information.

A top-down approach, starting from existing standards (an INSPIRE extension integrated with other parts from the standardised and shared structure), was completed with a bottom-up integration according to current requirements for disaster prevention procedures and risk analyses. The results were validated and tested in case studies (differentiated concerning the hazard and type of protected heritage) and refined during user forums.

Besides the ensuing reusable database structure, the filling with case studies data underlined the tough challenges and allowed proposing a sample of workflows and possible guidelines. The interfaces are provided to use the obtained knowledge base.

The increasing number of natural disasters could severely damage the cultural heritage, causing permanent damage to movable and immovable assets and tangible and intangible heritage. The study provides an original tool properly relating the (spatial) information regarding cultural heritage and the risk factors in a unique archive as a standard-based European tool to cope with these frequent losses, preventing risk.

Machine learning (ML) techniques are increasingly important in enabling business-to-business (B2B) companies to offer personalized services to business customers. On the other hand, humans play a critical role in dealing with uncertain situations and the relationship-building aspects of a B2B business. Most existing studies advocating human-ML augmentation simply posit the concept without providing a detailed view of augmentation. Therefore, the purpose of this paper is to investigate how human involvement can practically augment ML capabilities to develop a personalized information system (PIS) for business customers.

The authors developed a research framework to create an integrated human-ML PIS for business customers. The PIS was then implemented in the energy sector. Next, the accuracy of the PIS was evaluated using customer feedback. To this end, precision, recall and F1 evaluation metrics were used.

The computed figures of precision, recall and F1 (respectively, 0.73, 0.72 and 0.72) were all above 0.5; thus, the accuracy of the model was confirmed. Finally, the study presents the research model that illustrates how human involvement can augment ML capabilities in different stages of creating the PIS including the business/market understanding, data understanding, data collection and preparation, model creation and deployment and model evaluation phases.

This paper offers novel insight into the less-known phenomenon of human-ML augmentation for marketing purposes. Furthermore, the study contributes to the B2B personalization literature by elaborating on how human experts can augment ML computing power to create a PIS for business customers.

The need for a more structured methodology than currently exists for describing the impact of academic research is widely acknowledged. The most widely used research information standard, CERIF, does not currently allow the encoding of research impact in a structured way: this project devised and tested an extension to CERIF to address this omission. The paper seeks to discuss these points.

The core methodology of the project is a series of extensions to the CERIF model to encode “impact statements”, indicators of impact and measures as evidence for them. These can be linked to persons, organisational units or research outputs. This model is supported by a small semantic taxonomy of indicators and measures. The model was tested by evaluating it against current information environments, and by assessing its compatibility with CERIF and non‐CERIF compliant current research information systems.

Despite some concerns expressed about the validity of reducing qualitative evidence of impact to atomistic measures, and about a general paucity of such data in existing systems, the model tested well against working environments. It offers the potential for reducing workloads and more continuous assessment of research impact within its stakeholder communities.

No substantive methodology for encoding impact statements existed in CERIF prior to this project. In addition, the atomistic, quantifiable approach to describing impact is relatively unexplored in the higher education community, but offers substantial advantages. The work is of relevance to research managers, developers, system designers and metadata specialists.

The progress of life science and social science research is contingent on effective modes of data storage, data sharing and data reproducibility. In the present digital era, data storage and data sharing play a vital role. For productive data-centric tasks, findable, accessible, interoperable and reusable (FAIR) principles have been developed as a standard convention. However, FAIR principles have specific challenges from computational implementation perspectives. The purpose of this paper is to identify the challenges related to computational implementations of FAIR principles. After identification of challenges, this paper aims to solve the identified challenges.

This paper deploys Petri net-based formal model and Petri net algebra to implement and analyze FAIR principles. The proposed Petri net-based model, theorems and corollaries may assist computer system architects in implementing and analyzing FAIR principles.

To demonstrate the use of derived petri net-based theorems and corollaries, existing data stewardship platforms – FAIRDOM and Dataverse – have been analyzed in this paper. Moreover, a data stewardship model – “Datalection” has been developed and conversed about in the present paper. Datalection has been designed based on the petri net-based theorems and corollaries.

This paper aims to bridge information science and life science using the formalism of data stewardship principles. This paper not only provides new dimensions to data stewardship but also systematically analyzes two existing data stewardship platforms FAIRDOM and Dataverse.