Given the limited accuracy of a singular deep learning model in bearing fault diagnosis, this study seeks to investigate and validate the efficacy of a deep learning model fusion strategy. It also aims to enhance the performance of deep learning models ...

Archaeological discoveries can benefit enormously from linked open data (LOD) technologies since, as new objects are discovered, data about them can be placed in the LOD cloud and instantly accessible to third parties. This article presents a ...

Domain-specific data face the long-standing challenge of expressing granular knowledge in a structured way, which is fundamental for fostering information retrieval in the context of domain-specific semantic digital libraries. In the art history ...

This paper explores the capabilities of the Geospatial Semantic Web to support scholars in studying the geographic knowledge included in medieval and Renaissance works. In the context of the Italian national research project IMAGO, we developed a ...

GLAM (Galleries, Libraries, Archives and Museums) organisations host extensive digital collections that have been made available to the public for over three decades. Advances in technology have facilitated the reuse of digital collections as rich ...

This article addresses the complex challenges that public organizations face in designing, implementing, and evaluating their strategies, where public interest and regulatory compliance often intertwine with strategic objectives. This research ...

LIRAI is a workshop series on Legal Information Retrieval and Legal Artificial Intelligence. It provides a forum for discussing current trends and challenges in legal artificial intelligence, specifically related to the hypertext nature of legal ...

With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and their risk management information will become a legal requirement playing a pivotal role in demonstration of compliance. Despite its importance, there is a ...

The advent of information technology re-innovates all sectors of bio-sciences. Researchers use Semantic Web to improve web searching, mining and integration, which alleviates the time-consuming task of finding relevant and high-quality content. Semantics ...

Incident management in telecom and computer networks requires correlating and interpreting heterogeneous technical information sources. While knowledge graphs have proven flexible for data integration and logical reasoning, their use in network and ...

During the last years, the study of fuzzy database query languages has attracted the attention of many researchers. In this line of research, our group has proposed and developed FSA-SPARQL (Fuzzy Sets and Aggregators based SPARQL), which is a ...

Controlled vocabularies, such as classification schemes, glossaries, taxonomies, or thesauri, play an important role in many Web services. One of the main areas of application of controlled vocabularies is the domain of information retrieval ...

With the Machine Learning (ML) field rapidly evolving, ML pipelines continuously grow in numbers, complexity and components. Online platforms (e.g., OpenML, Kaggle) aim to gather and disseminate ML experiments. However, available knowledge is ...

Knowledge graphs (KGs) have emerged as a prominent data representation and management paradigm. Being usually underpinned by a schema (e.g., an ontology), KGs capture not only factual information but also contextual knowledge. In some tasks, a few ...

Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. ...

The proposed theme of this paper is to develop a system for remote intervention assistance with a person in difficulty, which is becoming increasingly important as the world’s population ages. The goal is to provide effective long-term care to ...

• We offer an intelligent home intervention platform based on ontologies and SWRL.
• We offer two Jena APIs to combine probabilistic and ontological reasoning.
• The APIs allow for ontological enrichment and adjustment of BN structures.

The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine-readable format. Thus, institutions are highly encouraged to publish, share and ...

Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while standardized Business ...

A key property of Linked Data is the representation and publication of data as an inter-connected labelled graph where different resources linked to each other form a network of meaningful information. A problem of path finding can be seen as searching ...

With the fast growth of web, the web is full of diverse data. Linked Data is data on the web that gives URIs to entities and links different data from different domains together, which results in the part of the web infrastructure. Since the dramatic ...