Abstract
IIoT platforms are a digital enabler for the industrial digital transformation, allowing the organisations to have a clear vision over its current status, promoting flexibility for a fast adjustment to market changes. The development of such a complex technological environment raises a two-fold concern: to promote a simpler modular customisation, and to promote the domain expert's involvement in the process. This requires a new approach on the specification of IIoT architecture, where the conceptualisation phase is crucial. In this context, semantics might play an impacting role, accommodating the multidisciplinary knowledge of IIoT architectures in a technological artefact, at the service of both technological architects and companies' domain experts. This paper discusses a semantic model to represent IIoT components, its conceptual relations, and technical constraints in a common view, supporting the construction of both IIoT concept and platforms within organisations.

Abstract
As the availability of computational power and communication technologies increases, Humans and systems are able to tackle increasingly challenging decision problems. Taking decisions over incomplete visions of a situation is particularly challenging and calls for a set of intertwined skills that must be put into place under a clear rationale. This work addresses how to deliver autonomous decisions for the management of a public street lighting network, to optimize energy consumption without compromising light quality patterns. Our approach is grounded in an holistic methodology, combining semantic and Artificial Intelligence principles to define methods and artefacts for supporting decisions to be taken in the context of an incomplete domain. That is, a domain with absence of data and of explicit domain assertions.

Abstract
The process of digital transformation is based on horizontal and vertical strategies, along with models and technologies used to share information and analyse data that supports decision making. In this context, sharing information securely and intelligibly using standardized architectures is crucial for the digital transformation journey of the companies. This article describes the International Data Spaces as a disruptive model for sharing information inside a network. This work will be evaluated within marketplaces platforms scope. © 2022 The Author(s).

Abstract
This work aims to systematize the knowledge on emerging Intelligent Information Retrieval (IIR) practices in scenarios whose context is similar to the field of tax law. It is a part of a project that covers the emerging techniques of IIR and its applicability to the tax law domain. Furthermore, it presents an overview of different approaches for representing legal data and exposes the challenging task of providing quality insights to support decision-making in a dedicated legal environment. It also offers an overview of the related background and prior research referring to the techniques for information retrieval in legal documents, establishing the current state-of-the-art, and identifying its main drawbacks. A summary of the most appropriate technologies and research approaches of the technologies that apply artificial intelligence technology to help legal tasks is also depicted.

Abstract
Conceptualisation processes are pervasive to most technical and professional activities, but are seldom addressed explicitly due to the lack of theoretical and practical methods and tools. However, it seems not to be a popular research topic in knowledge representation or its sub-areas such as ontology engineering. The approach described in this paper is a contribution to the development of methods and tools to collaborative conceptualisation processes. The particularly challenging problem of conceptual negotiation is here tackled through a combination of ColBlend method and an argumentation-based strategy, creating an innovative method to conceptual negotiation, argile method. This method was implemented in to the ConceptME platform as an advanced negotiation mechanism. © 2012 Springer-Verlag.

Abstract
This paper describes an approach and an implementation for the semantic integration of social and domain ontologies in a collaborative platform. The platform, built based on the Drupal CMS framework, aims to offer SMEs possibilities to access specific knowledge by means of a collaborative community. A model to semantically express the socio-collaborative activities of the platform connected with the domain knowledge related to the project is presented. The model is based on existing W3C ontologies such as FOAF, SIOC and SIOC-types for the socio-collaborative semantics and SKOS to describe the domain knowledge. An architecture to support the model and related applications of the semantic metadata generated in the platform are also described.