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This study proposes a framework for Earthwork Ontology (EW-Onto) to support and enhance data exchange in the project and the efficient decision-making in the planning and execution phases.

The development of EW-Onto started from defining the concepts and building taxonomies for earthwork operations and equipment following the METHONTOLOGY approach. In addition, several rules have been extracted from safety codes and implemented as SWRL rules. The ontology has been implemented using Protégé. The consistency of EW-Onto has been checked and it has been evaluated using a survey.

The assessment of EW-Onto by experts indicates an adequate level of consensus with the framework, as an initial step for explicit knowledge exchanges within the earthwork domain.

The use of an ontology within the earthwork domain can help: (1) link and identify the relationships between concepts, define earthwork semantics, and classify knowledge in a hierarchical way accepted by experts and end-users; (2) facilitate the management of earthwork operations and simplify information exchange and interoperability between currently fragmented systems; and (3) increase the stakeholders' knowledge of earthwork operations through the provision of the information, which is structured in the context of robust knowledge.

This paper proposes a framework for Earthwork Ontology (EW-Onto) to support and enhance data exchange in the project and the efficient decision-making in the planning and execution phases. EW-Onto represents the semantic values of the entities and the relationships, which are identified and formalized based on the basic definitions available in the literature and outlined by experts.

This paper investigates the semantic association mechanisms of weak demand signals that facilitate innovative product development in terms of conceptual and temporal precedence, despite their inherent ambiguity and uncertainty.

To address this challenge, a domain ontology approach is proposed to construct a customer demand scenario-based framework that eliminates the blind spots in weak demand signal identification. The framework provides a basis for identifying such signals and introduces evaluation indices, such as depth, novelty and association, which are integrated to propose a three-dimensional weak signal recognition model based on domain ontology that outperforms existing research.

Empirical analysis is carried out based on customer comments of new energy vehicles on car platform such as “Auto Home” and “Bitauto”. Results demonstrate that in terms of recognition quantity, the three-dimensional weak demand signal recognition model, based on domain ontology, can accurately identify six demand weak signals. Conversely, the keyword analysis method exhibits a recognition quantity of four weak signals; in terms of recognition quality, the three-dimensional weak demand signal recognition model based on domain ontology can exclude non-demand signals such as “charging technology”, while keyword analysis methods cannot. Overall, the model proposed in this paper has higher sensitivity.

This paper proposes a novel method for identifying weak demand signals that considers the frequency of the signal's novelty, depth and relevance to the target demand. To verify its effectiveness, customer review data for new energy vehicles is used. The results provide a theoretical reference for formulating government policies and identifying weak demand signals for businesses.

This paper aims to trace the tectonic effects of openings as Heideggerian “built-things”.

This study has been organized in two phases. The first phase attempts to set up the theoretical framework through exploring the links between Heidegger’s notion of “built-thing” and contemporary tectonic discourses on dialectics between the values of matheme (construction, technology) and poetics (representation, meaning) to identify the key indicators in tectonic effects of openings. Accordingly, as the term “tectonic effects” is concerned with feelings and emotions that tectonics may evoke in people, the author searches for the indicators based on the poetic aspects of tectonic values and applies them within the phenomenological method implemented in the second phase of the research to explore the indicators in the designated case of the “Çavuşoğlu house”.

The results of this study indicate the significance of ontological nexus between tectonics as “poetic revealing” and the ability of the “built-thing” to generate tectonic effects within the embodied experience of dwellers. In fact, an opening can generate ontological tectonic effects in space only if it is brought about through a truthful build-dwell process which responds in a poetic way to the daily-life needs of the dwellers. The tangible examples of this fact are evident in the openings of the Çavuşoğlu house.

The theory of tectonics of openings as a separate “built-thing”, which is put forward in the present study, is a subject that has not been sufficiently studied so far and has the potential to be developed through further research. In light of this, the theoretical results of this study can contribute to tectonic thinking during the design process.

Many academic libraries use digital humanities projects to disseminate unique materials in their collections; during project planning, librarians will consider platforms, scanning rates and project sustainability. Rarely, though, will academic librarians consider how members from the communities that created the materials can contribute to digitization projects. The purpose of this study is to explain how collaboration with Zuni Pueblo (a Native American tribe in the southwest) community members improved a digital humanities project to disseminate Zuni language learning materials.

Methodologically relying on critical making, which involved community member feedback throughout the process, the Zuni Language Materials Collection will provide digital access to 35 language learning items.

The authors argue that collaboration with members of the community of creation dramatically improved item description, collection discoverability and collection interactivity. This study historicizes CONTENTdm and describes how the team modified this content management system to meet user needs. This project produced a prototype digital collection, collaboratively authored metadata and an interactive portal that invites users to engage with the collection.

Libraries continue to struggle to reach and reflect their diverse users. This study describes a process that others may use and modify to engage nearby Native American communities.

This piece shares a unique strategy of partnering with Native American community members on all aspects of digital humanities project development and design. This case study attempts to fill a gap in the literature as the first study to describe a digitization process using CONTENTdm with a Native American community.

Contractors must check the provisions that may cause disputes in the specifications to manage project risks when bidding for a construction project. However, since the specification is mainly written regarding many national standards, determining which standard each section of the specification is derived from and whether the content is appropriate for the local site is a labor-intensive task. To develop an automatic reference section identification model that helps complete the specification review process in short bidding steps, the authors proposed a framework that integrates rules and machine learning algorithms.

The study begins by collecting 7,795 sections from construction specifications and the national standards from different countries. Then, the collected sections were retrieved for similar section pairs with syntactic rules generated by the construction domain knowledge. Finally, to improve the reliability and expandability of the section paring, the authors built a deep structured semantic model that increases the cosine similarity between documents dealing with the same topic by learning human-labeled similarity information.

The integrated model developed in this study showed 0.812, 0.898, and 0.923 levels of performance in NDCG@1, NDCG@5, and NDCG@10, respectively, confirming that the model can adequately select document candidates that require comparative analysis of clauses for practitioners.

The results contribute to more efficient and objective identification of potential disputes within the specifications by automatically providing practitioners with the reference section most relevant to the analysis target section.

Undeniably, plastic usage is predominant in our daily lives, featuring in an endless list of items such as bottles, disposables, packaging and fabric. At prima facie, plastic disposal causes irreversible damage to the natural environment, especially oceans. However, it also impacts human health and wellbeing, especially since its toxins or microplastics find themselves in the food chain. Since plastic causes a myriad of negative effects on the natural environment and human health, the urgency to ban it has been addressed by international organizations and the European Union (EU). Being the smallest member state within the EU, Malta presents an insightful case study of how different levels of governance and a plethora of state and non-state actors engage in a game-like interaction. To this effect, this chapter sheds light on the implications of plastic pollution vis-á-vis sustainability and wellbeing, addressed through multi-level governance. The research core revolves around an investigation on the institutional intricacies in addressing the wicked problem of single-use plastic by mapping out the different layers of policy-making mechanisms that are involved, ranging from local to European and international governance, and from governmental to civil society centric strategies. A positivist ontology is activated to underpin the exploratory nature of this study. Through the application of content analysis of selected documentation, the extent of coordination and synergies among the different policy actors across a multi-layered governance platform is put under scrutiny. Quantitative findings are utilized to validate or contradict the original set of hypotheses and to propose a number of policy and governance recommendations that are useful to researchers and practitioners in the fields of public policy, politics, environmental science, public health and wellbeing, as well as insurance and risk management.

The use of digital inspection or e-inspection of transportation projects has been proven as an efficient method over the last decade. A wide range of studies were dedicated to developing and applying e-inspection techniques and technologies. However, there is a lack of a comprehensive systematic review and content analysis of using e-inspection in highway construction and maintenance projects. The main objectives of this study were to explore the current trend and identify relevant inspection technologies and their applications for highway construction projects.

A systematic review of 172 articles from 16 high-ranked academic journals in construction engineering and management published during 2000–2021 was conducted. This process resulted in 67 relevant articles included in the detailed content analysis. The analysis involved synthesizing six main construction elements and work types, nine typical inspection activities, and 23 technologies.

The result of the analysis showed that among the six construction elements and work types, bridge and hot mix asphalt (HMA) recorded the largest share of e-inspection research. For the nine inspection activities, progress monitoring of construction operations was the highest focused area of e-inspection research. The most common e-inspection technologies are geospatial tools, 3D modeling, and unmanned aircraft systems (UASs). Camera-based inspection has existed for decades, however, has limited research development. The critical success factors in implementing e-inspection in highway projects are sharing data among different technologies, inspector training, and reducing the cost of technology purchase.

This study is one of the first attempts to conduct a content analysis of the e-inspection implementation for highway projects. The findings of this study expose knowledge gaps in contemporary research related to implementation barriers such as cost of purchase and operation of e-inspection technologies and transferring data between technologies.

This article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.

The science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.

This study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).

This study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.

This paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

The purpose of this paper is to present a review of the origins and development of national inventories in Scotland and Wales from paper-based records to digital databases. The impact of digital technologies on data management and dissemination is considered.

Exploring the evolution of historic environment inventories in Scotland and Wales highlights the common issues faced and solutions adopted. In considering the longue durée, the durability and flexibility of information is highlighted.

Inventories may combine locational, descriptive and visual material to help document a fragile, finite and non-renewable resource. They provide the evidence base for decision making and stewardship in managing change, stimulating interest in and valuing the historic environment. Contribution to recognised inventories should be a requirement for activities documenting the historic environment. Digital technologies shape the expectations of a modern inventory and associated digital archives, with emphasis placed on the repurposing of inventory contents so that they can better contribute to an information network serving multiple audiences.

Transformation from paper records to digital data has radically enhanced and democratised access to knowledge about the historic environment. Digital delivery helps place heritage data within mainstream societal activities and fosters public interest and engagement in the historic environment.

Inventories are the foundation building blocks of informed decision making. Digital technologies have transformed these resources to help place the historic environment within mainstream societal activities and interest.

Climate change, deforestation and hydropower dams are contributing to environmental change in the Lower Mekong River region, the combined effects of which are felt by many rural Cambodians. How people perceive and manage the effects of environmental change will influence future adaptation strategies. The objective of this research was to investigate whether the use of a low-cost, explicitly spatial method (participatory mapping) can help identify locally relevant opportunities and challenges to climate change adaptation in small, flood-prone communities. Four villages along the banks of the Mekong River in Kratie Province, Cambodia, were the subject of this research. To identify perceived environmental hazards and adaptive responses, eight workshops were conducted using focus-group interviews and participatory mapping. The communities’ responses highlight the evolving nature of environmental hazards, as droughts increase in perceived importance while the patterns of wet season flooding were also perceived to be changing. The attribution of the drivers of these hazards was strongly skewed towards local factors such as deforestation and less towards regional or global drivers affecting the hydrology of the Mekong and climate patterns. Combining participatory mapping with focus-group interviews allowed a greater depth of understanding of the vulnerabilities and opportunities available to communities than reliance on a single qualitative method. The study highlights the potential for a bottom-up transfer of information to strengthen existing climate change policies and tailor adaptation plans to local conditions.