An increasing amount of data is now available from public and private sources. Furthermore, the types, formats, and number of sources of data are also increasing. Techniques for extracting, storing, processing, and analyzing such data have been developed in the last few years for managing this bewildering variety based on a structure called a knowledge graph. Industry has devoted a great deal of effort to the development of knowledge graphs, and knowledge graphs are now critical to the functions of intelligent (...) virtual assistants such as Siri, Alexa, and Google Assistant. The goal of the Ontology Summit 2020 was to understand not only what knowledge graphs are but also where they originated, why they are so popular, the current issues, and their future prospects. The summit sessions examined many examples of knowledge graphs and surveyed the relevant standards that exist and are in development for knowledge graphs. The purpose of this Communiqué is to summarize our understanding from the Summit in order to foster research and development of knowledge graphs. (shrink)

We present an OWL 2 ontology, called SaintGall, representing the Saint Gall plan, one of the most ancient documents arrived intact to us. The Saint Gall plan describes the ideal model of a Benedictine monastic complex that inspired the design of many European monasteries. The structural, functional, and architectural specification of an ideal Benedectine monastery is modeled by the SaintGall ontology, which allows one to analyse and model the Monastery architectural type. This work started with the purpose of relating Catania’s (...) San Nicolò l’Arena Benedectine Monastery with the abstract notion of Benedectine monastery, in the ambit of an ontological model based on the renovation works carried out by the architect Giancarlo De Carlo and developed by the same authors. The SaintGall ontology opens a research path aiming at comparing different monastic architectures that can be useful in any intervention of refurbishment or design for a monastery. (shrink)

Achieving a comfortable thermal situation within buildings with an efficient use of energy remains still an open challenge for most buildings. In this regard, IoT and KDD processes may be combined to address these problems, even though data analysts may feel overwhelmed by heterogeneity and volume of the data to be considered. Data analysts could benefit from an application assistant that supports them throughout the KDD process and aids them to discover which are the relevant variables for the matter at (...) hand, or informing about relationships among relevant data. In this article, the EEPSA ontology which supports such an assistant is presented. The ontology is developed on the basis that a proper axiomatization shapes the set of admitted models better, and therefore, establishes the ground for a better interoperability. On the contrary, underspecification facilitates the admission of non-isomorphic models to represent the same state which hampers interoperability. This ontology is developed on top of three ODPs which include proper axioms in order to improve precedent proposals to represent features of interest and their respective qualities, as well as observations and actuations, the sensors and actuators that generate them, and the procedures used. Moreover, the ontology introduces six domain ontology modules integrated with the ODPs in such a manner that a methodical customization is facilitated. (shrink)

Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how (...) the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature. (shrink)

Roles remain nebulous entities, notwithstanding their extensive interdisciplinary research. This paper argues through a meta-ontological conceptual tool of grounding that there are three key facets of roles: a role position, a role specification, and a role potential. A foundational perspective on roles can be specified by “role choices” as to which facet of roles is primary. Role choices are illustrated with theories of roles that are built in compliance with four well-known upper ontologies: GFO, DOLCE, BFO, and UFO. The relationship (...) between such three facets of roles and the GFO-based three kinds of roles is closely examined. These three facets are also comparatively studied from linguistic and methodological perspectives. Furthermore, the family resemblance view of roles as “epistemic trackers” is proposed: the general notion of role is merely unified by its three facets and helps to keep track of some entity with respect to its role-related aspects. Finally, defining characteristics of roles in conceptual modeling are considered in terms of the three-facet theory. This work provides the grist for future practical development of an ontological module for generic role representation. (shrink)

The paper discusses the problem of diachronic criteria of identity for historic localities. We argue that such criteria are needed not just for the sake of ontological clarity but also are indispensable for database management and maintenance. Our survey of the current research in database management and engineering ontology literature found no satisfactory candidates thereof. Therefore we attempt to search for such criteria in the historic-geographical scholarship by exposing the ontological assumptions the researchers made there and by stating them explicitly. (...) This attempt consisted of us presenting a number of brief scenarios taken from the historical studies whereby localities are claimed to maintain their identity through certain types of change or to be destroyed due to other types of change. Generalising these cases we provide a tentative formulation of the criterion and discuss its limitations. (shrink)

We present a formal Arabic wordnet built on the basis of a carefully designed ontology hereby referred to as the Arabic Ontology. The ontology provides a formal representation of the concepts that the Arabic terms convey, and its content was built with ontological analysis in mind, and benchmarked to scientific advances and rigorous knowledge sources as much as this is possible, rather than to only speakers’ beliefs as lexicons typically are. A comprehensive evaluation was conducted thereby demonstrating that the current (...) version of the top-levels of the ontology can top the majority of the Arabic meanings. The ontology consists currently of about 1,800 well-investigated concepts in addition to 16,000 concepts that are partially validated. The ontology is accessible and searchable through a lexicographic search engine that also includes about 150 Arabic-multilingual lexicons, and which are being mapped and enriched using the ontology. The ontology is fully mapped with Princeton WordNet, Wikidata, and other resources. (shrink)

Smart communities have recently gained much attention. Researchers have been trying to tackle a number of challenges faced by smart communities. Interoperability is one key challenge that occurs due to different systems using different knowledge representations. To solve interoperability problems, ontologies are seen as a promising solution as they provide a commonly agreed vocabulary for representing data that are understandable by stakeholders of smart communities. Smart communities make use of Internet of Things and ubiquitous networks to support communication among objects (...) and devices in such environments. Smart campuses are examples of smart communities. Recently, many articles related to ontologies focusing on smart communities and smart campuses in IoT environments, have been published. This paper presents a Systematic Literature Review that has been conducted using Google Scholar. 18 ontologies for smart communities/smart campuses have been identified and analyzed out of 341 articles from year 2010 to 2019. The review classifies the ontologies in terms of domain, ontologies being reused, availability online, limitations, language adopted and coverage. It additionally discusses on the standards, the level of expressiveness, the ontology development approaches and methodologies adopted by the identified ontologies. Our analysis shows that the identified ontologies have been developed based on different ontological commitments. None of them have come up with a core semantic model that models different collaborating domains in a smart campus such as smart learning, smart management, smart governance, smart room, smart health, smart library and smart parking among others and that enhances cross-domain interoperability in a such an environment. Further details on our findings are presented and discussed in the paper. (shrink)

Standards and ontologies for manufacturing understand resources differently. Because of this heterogeneity, misunderstandings arise concerning the basic features that characterize them. The purpose of the paper is to investigate how to ontologically model resources with the goal of facilitating the development of knowledge representation models for manufacturing. By reviewing the literature, we discuss and compare three approaches for the representation of resources depending on whether they are conceived in connection to either processes, plans or goals. By addressing the advantages and (...) shortcomings of each view, we present a unifying perspective to enable the modeling of resources in an integrated manner. In this way, the intended meanings of the used notions are harmonized and, as a result, one can facilitate multiple experts to interact e.g., via data sharing and/or data integration procedures. Differently, by keeping three separated views, there is no guarantee that data coming from different parties will share common meanings even if the same terms are used. By the end of the paper, we present a case study to show the application of our approach and to compare it with an existing ontology for manufacturing. (shrink)