Problem-solving methods for understanding process executions

Problem-solving methods are high-level, domain-independent, reusable knowledge templates that support the development of knowledge-intensive applications. The authors show how to use them to bolster subject-matter experts' understanding of process execution by implementing such methods into the Knowledge-Oriented Provenance Environment

Repetitive Movements in Melon Cultivation Workers under Greenhouses

Musculoskeletal disorders cause serious problems that affect workers in many sectors. The objective of this study is the ergonomic analysis of melon cultivation farmers in Almeria-type greenhouses. For this, the rapid upper limb assessment (RULA) method has been applied after carrying out a detailed process of observing the farmers’ tasks. The study shows that 65% of the postures have a very-high-risk level, 26% high, 9% average, and no posture is found with a low risk. They also show that in 69.57% of the postures, the upper limbs are less affected than the others such as the neck, trunk, and lower limbs. Measures are proposed to improve the working conditions for workers

WEASEL: Vodafone Corporate Semantic Web

The 2006 Gartner emerging technology curve highlights the relevance of the Corporate Semantic Web as one of the most promising IT areas in the next five years. The work presented herein describes WEASEL, an initiative funded by Vodafone to apply and evaluate such technology in the context of a large multinational company. This scenario comprises a number of heterogeneous web sites containing unstructured and related, but physically decoupled, information which needs common models that provide unified ways of representing information across the different sources, i.e. ontologies. Three main milestones were defined for WEASEL: the creation of a domain ontology, the extraction of information from the different sources and its semantic annotation and aggregation, and the creation of a new web site containing a semantic search engine which provides natural interfaces for retrieving the aggregated information. WEASEL concluded with its evaluation by Vodafone

Updating new invasions: The Australian tortoise beetle Trachymela sloanei (Blackburn, 1897) (Coleoptera: Chrysomelidae) in the Iberian Peninsula

Trachymela sloanei (Blackburn, 1897) is a non-indigenous beetle of the Iberian Peninsula herbivorous of several species of Eucalyptus trees. Since its first detection in Europe in 2014, little information is available about the populations of this beetle in this distribution range. Therefore, a complete chorological update of the Australian tortoise beetle in the Iberian Peninsula is carried out. The ecology, phenology and potential distribution are discussed. Certain features of its morphology are fully illustrated to increase knowledge of this species. Finally, other remarks of interest that could be useful for the future management perspectives of this plague of Eucalyptus in the European continent are commented on briefly

Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering

Quality management and assurance is key for space agencies to guarantee the success of space missions, which are high-risk and extremely costly. In this paper, we present a system to generate quizzes, a common resource to evaluate the effectiveness of training sessions, from documents about quality assurance procedures in the Space domain. Our system leverages state of the art auto-regressive models like T5 and BART to generate questions, and a RoBERTa model to extract answers for such questions, thus verifying their suitability.Comment: In Proceedings of the 15th International Natural Language Generation Conference (INLG 2022

A formalism and method for representing and reasoning with process models authored by subject matter experts

Enabling Subject Matter Experts (SMEs) to formulate knowledge without the intervention of Knowledge Engineers (KEs) requires providing SMEs with methods and tools that abstract the underlying knowledge representation and allow them to focus on modeling activities. Bridging the gap between SME-authored models and their representation is challenging, especially in the case of complex knowledge types like processes, where aspects like frame management, data, and control flow need to be addressed. In this paper, we describe how SME-authored process models can be provided with an operational semantics and grounded in a knowledge representation language like F-logic in order to support process-related reasoning. The main results of this work include a formalism for process representation and a mechanism for automatically translating process diagrams into executable code following such formalism. From all the process models authored by SMEs during evaluation 82% were well-formed, all of which executed correctly. Additionally, the two optimizations applied to the code generation mechanism produced a performance improvement at reasoning time of 25% and 30% with respect to the base case, respectively

A Semantically Enhanced UPnP Control Point for Sharing Multimedia Content

The Universal Plug and Play (UPnP) protocol lets users share multimedia content across devices and display it in multimedia renderers in homebased LANs. However, UPnP doesn’t support sharing this content between homes (for example, with friends, relatives, or workmates), and content can be difficult to find. A UPnP extension provides uniform access to multimedia content belonging to different homes, such as content from a user’s Facebook friends. In addition, an extended UPnP control point lets users add semantic annotations to their multimedia resources and link them to the linked data cloud to facilitate their discovery by others