Year:

  1.  10
    Ontology Summit 2020 Communiqué: Knowledge Graphs.Ken Baclawski, Michael Bennett, Gary Berg-Cross, Todd Schneider, Ravi Sharma, Janet Singer & Ram D. Sriram - 2021 - Applied ontology 16 (2):229-247.
    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 (...)
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  2.  5
    The Ideal Benedictine Monastery: From the Saint Gall Map to Ontologies.Claudia Cantale, Domenico Cantone, Manuela Lupica Rinato, Marianna Nicolosi-Asmundo, Daniele Francesco Santamaria & Maria Rosaria Stufano Melone - 2021 - Applied ontology 16 (2):137-160.
    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 (...)
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  3.  6
    EEPSA as a Core Ontology for Energy Efficiency and Thermal Comfort in Buildings.Iker Esnaola-Gonzalez, Jesús Bermúdez, Izaskun Fernandez & Aitor Arnaiz - 2021 - Applied ontology 16 (2):193-228.
    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 (...)
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  4.  8
    Ontologies for Information Entities: State of the Art and Open Challenges.Emilio M. Sanfilippo - 2021 - Applied ontology 16 (2):111-135.
    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 (...)
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  5.  10
    Roles and Their Three Facets: A Foundational Perspective.Fumiaki Toyoshima - 2021 - Applied ontology 16 (2):161-192.
    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 (...)
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  6.  6
    Identity of Historical Localities in Information Systems1.Pawel Garbacz, Bogumił Szady & Agnieszka Ławrynowicz - 2021 - Applied ontology 16 (1):55-86.
    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. (...)
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  7.  4
    The Arabic Ontology – an Arabic Wordnet with Ontologically Clean Content.Mustafa Jarrar - 2021 - Applied ontology 16 (1):1-26.
    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 (...)
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  8.  4
    A Systematic Literature Review on Semantic Models for IoT-Enabled Smart Campus.Soulakshmee D. Nagowah, Hatem Ben Sta & Baby Gobin-Rahimbux - 2021 - Applied ontology 16 (1):27-53.
    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 (...)
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  9.  7
    Ontological Modeling of Manufacturing Resources.Emilio M. Sanfilippo, Walter Terkaj & Stefano Borgo - 2021 - Applied ontology 16 (1):87-109.
    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 (...)
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