Integration of ontologies with decentralized autonomous organizations development: A systematic literature review

This paper presents a systematic literature review of the integration of ontologies into the Decentralized Autonomous Organization (DAO) development process. The review extracted data from 34 primary studies dealing with ontologies in the blockchain domain. DAO has become a key concept for the development of blockchain-based decentralized software systems. DAOs are seen as a positive alternative for organizations interested in the adoption of decentralized, reliable and transparent governance, as well as attracting the interest of academic research. However, there is no common understanding or generally accepted formal definition of a DAO, and the guidelines that provide support for the adoption and development of DAOs are limited to a few key references that lack the computational semantics needed to enable their automated validation, simulation or execution. Thus, the objective of this paper is to provide an unbiased and up-to-date review related to the integration of ontologies within DAOs which helps to identify new research opportunities and take advantage of this integration from a blockchain-based decentralized perspective

Information modelling for the development of sustainable construction (MINDOC)

In previous decades, controlling the environmental impact through lifecycle analysis has become a topical issue in the building sector. However, there are some problems when trying to exchange information between experts for conducting various studies like the environmental assessment of the building. There is also heterogeneity between construction product databases because they do not have the same characteristics and do not use the same basis to measure the environmental impact of each construction product. Moreover, there are still difficulties to exploit the full potential of linking BIM, SemanticWeb and databases of construction products because the idea of combining them is relatively recent. The goal of this thesis is to increase the flexibility needed to assess the building’s environmental impact in a timely manner. First, our research determines gaps in interoperability in the AEC (Architecture Engineering and Construction) domain. Then, we fill some of the shortcomings encountered in the formalization of building information and the generation of building data in Semantic Web formats. We further promote efficient use of BIM throughout the building life cycle by integrating and referencing environmental data on construction products into a BIM tool. Moreover, semantics has been improved by the enhancement of a well-known building-based ontology (namely ifcOWL for Industry Foundation Classes Web Ontology Language). Finally, we experience a case study of a small building for our methodology

Improving information retrieval-based concept location using contextual relationships

For software engineers to find all the relevant program elements implementing a business concept, existing techniques based on information retrieval (IR) fall short in providing adequate solutions. Such techniques usually only consider the conceptual relations based on lexical similarities during concept mapping. However, it is also fundamental to consider the contextual relationships existing within an application’s business domain to aid in concept location. As an example, this paper proposes to use domain specific ontological relations during concept mapping and location activities when implementing business requirements