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Auflistung nach Schlagwort "Ontology"

1 - 10 von 12
  • Konferenzbeitrag
    A Core Ontology to Support Agricultural Data Interoperability
    (BTW 2023, 2023) Abdelmageed, Aly; Hatem, Shahenda; ael, Tasneem; Medhat, Walaa; König-Ries, Birgitta; Ellakwa, Susan; Elkafrawy, Passent; Algergawy, Alsayed
    The amount and variety of raw data generated in the agriculture sector from numeroussources, including soil sensors and local weather stations, are proliferating. However, these raw data in themselves are meaningless and isolated and, therefore, may offer little value to the farmer. Data usefulness is determined by its context and meaning and by how it is interoperable with data from other sources. Semantic web technology can provide context and meaning to data and its aggregation by providing standard data interchange formats and description languages. In this paper, we introduce the design and overall description of a core ontology that facilitates the process of data interoperability in the agricultural domain.
  • Zeitschriftenartikel
    CURIE: Towards an Ontology and Enterprise Architecture of a CRM Conceptual Model
    (Business & Information Systems Engineering: Vol. 64, No. 5, 2022) Fernández-Cejas, Miguel; Pérez-González, Carlos J.; Roda-García, José L.; Colebrook, Marcos
    Companies face the challenge of managing customer relationships (CRM) in a context marked by a drastic digital transformation and unbridled evolution of consumer behavior, exacerbated by the COVID-19 pandemic. The customer is more demanding, has access to the global market and interacts with companies through multiple digital channels, such as email, social networks, mobile apps or instant messaging. In this situation, the success of a CRM implementation highly depends on information technology and the applications used. To harmonize this new business context with the development of information systems (IS), a suitable CRM ontology and enterprise architecture (EA) is needed. While an ontology-based conceptual model provides a unifying framework, aids sharing and reusing knowledge, and facilitates communication within a domain, an EA-based model unequivocally describes, analyzes, and visualizes how an organization should operate from the perspective of business, application, and technology. The purpose of the paper is the proposal of CURIE-O, a CRM OntoUML UFO-based ontology, together with CURIE-EA, a CRM ArchiMate-based EA to serve business managers and IS specialists an updated unifying framework of reference in the CRM domain as well as a highly efficient tool to support application development and maintenance in this changing and increasingly digital context. Modeling has proven to be an essential element to achieve high-performance information systems. In order to apply the ontology and the EA proposed here, the authors developed a CRM task management application prototype that was implemented as a case study in a consulting company. The methodology followed was design science research (DSR), in order to design and validate the artifacts. Within the DSR framework, other complementary research methods have been used, in particular literature research, interviews and focus groups carried out with several hotel chains in Tenerife (Canary Islands). The main existing CRM models in the scientific literature have also been analyzed together with the leading CRM market solutions.
  • Konferenzbeitrag
    Experience-based Quality Assessment of Distributed Knowledge Graphs
    (WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook, 2020) Baumeister, Joachim
    This paper introduces an experience-based approach for the evaluation of distributed knowledge graphs. The quality assessment becomes more important in recent days, since distributed knowledge emerges rapidly in different application areas. The paper reports the domain of industrial configuration and production, where distributed knowledge bases have been maintained manually over decades. We describe the configuration ontology COOM and show how standard technologies can be used to query experience-based anomalies. A selection of anomalies is discussed.
  • Textdokument
    Knowledge-Based Self-Organization of Traffic Control Systems
    (INFORMATIK 2017, 2017) Jurisch, Matthias; Igler, Bodo
    Traffic control systems operating at the level of intersections can interact with each other. This interaction can be implicit (traffic flow) and explicit (exchange of sensor data). A central issue in this context is how to react to structural changes in a system of traffic control systems. This paper proposes to model all aspects which are relevant to the connection of these systems as ontologies. It further proposes to adapt to structural changes by taking inferences drawn from these ontologies into account. This work in progress is presented with the help of a concrete application example. A software prototype has been developed to demonstrate that this approach is technically feasible.
  • Konferenzbeitrag
    Model-based Testbed Design for Electric Vehicles
    (40 Years EMISA 2019, 2020) Paczona, Martin; Mayr, Heinrich C.; Prochart, Guenter
    Electric cars boom. This puts pressure on providing and improving tools and systems for electric car development. Electric vehicle testbeds (EVTs) are such systems: they serve for testing all high voltage vehicle components like batteries, inverters or complete engines and help to reduce the need of cost intensive road tests. EVT users like manufacturers of automobiles, aircrafts or train engines mostly have individual requirements. EVTs are therefore typically tailor-made solutions. Today’s approach to customized testbed (component) design starts with drawing the overall architecture using tools like MS Visio; based here-on, software developers, circuit plan designers, and engineers use their specific low-level design and development environments, obviously with no transformation or generation out of the initial drawing with causes all known challenges of such procedure. This paper presents a novel, innovative and scalable approach to EVT design based on an ontology grounded Domain Specific Modeling Language (DSML). It enables the user to describe the customer requirements in the familiar form. The resulting model can then be used to generate circuit diagrams and software configurations. Such approach not only may reduce development time and cost but may increase the quality of the resulting EVT.
  • Konferenzbeitrag
    On which legal regulations is a public service based? Fostering transparency in public administration by using knowledge graphs
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Feddoul, Leila; Raupach, Maximilian; Löffler, Felicitas; Babalou, Samira; Hoyer, Jonas; Mauch, Marianne; König-Ries, Birgitta
    Knowledge about digitization in the public administration is complex and scattered. Information about legal regulations, methods, processes, APIs, metadata and data standards, registers, and terminologies are spread across different platforms. Hence, it is difficult for employees, developers, and decision makers to figure out what data standards, formats, and APIs are relevant for the digitization of a specific public service. Training administrative employees and IT companies requires to gather and link the required knowledge first in a well-structured and accessible manner. We address this need for more shared and transparent knowledge in the digitization of public services in Germany. We propose a first version of an ontology (GerPS-onto) for public administration instantiated by one example german public service. We utilize semantic modelling and Linked Data technologies to enable appropriate data and process descriptions that are readable for humans and machines. We also demonstrate how an existing process description of a public service can be linked to existing terminologies and evaluate the resulting ontology using domain-specific competency questions that are translated to SPARQL queries.
  • Zeitschriftenartikel
    Ontologies for the Virtual Materials Marketplace
    (KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Horsch, Martin Thomas; Chiacchiera, Silvia; Seaton, Michael A.; Todorov, Ilian T.; Šindelka, Karel; Lísal, Martin; Andreon, Barbara; Bayro Kaiser, Esteban; Mogni, Gabriele; Goldbeck, Gerhard; Kunze, Ralf; Summer, Georg; Fiseni, Andreas; Brüning, Hauke; Schiffels, Peter; Cavalcanti, Welchy Leite
    The Virtual Materials Marketplace (VIMMP) project, which develops an open platform for providing and accessing services related to materials modelling, is presented with a focus on its ontology development and data technology aspects. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace frontend.
  • Textdokument
    Ontology in the Digital Forensics Domain: A Scoping Review
    (INFORMATIK 2022, 2022) Morgenstern,Martin; Fähndrich,Johannes; Honekamp,Wilfried
    A need for the use of automation in digital forensics is imminent. With the overwhelming workload for analysing collected digital evidence, law enforcement agencies are no longer meeting the quality investigations we expect. For automation to work (e. g., integrating heterogeneous data sources, structuring unstructured data, or drawing conclusions from structured data), formalisation must be specified. Specification of formalisation includes as a first step to describe concepts in the domain of digital forensics. In this contribution, we analyse the state of the art of ontological formalisation in the domain of digital forensics via a scoping review. There are some attempts to formalise the technical domain of digital forensics in ontologies, but they do not cover essential context, like technical annotations or acquisition modelling. Future work will be to use the existing foundations and extend them with facts and rules to enable reasoning.
  • Konferenzbeitrag
    Taxonomy of Architecture Maintainability Smells
    (Software Engineering 2024 (SE 2024), 2024) Rachow, Paula; Wiese, Marion; van Hoorn, André
  • Konferenzbeitrag
    Transforming Enterprise Models to Linked Data via Semantic Annotations
    (Modellierung 2018, 2018) Pittl, Benedikt; Fill, Hans-Georg
    The use of conceptual models in enterprises is today a well-known fact. This includes many zdifferent types of models ranging from process models, organizational models, and infrastructure models to various types used in software engineering and technical systems development. Although these models are largely specified in a formal or at least semi-formal way, the knowledge contained in them is often only accessible via manual inspection. The primary reason for this shortcoming is the use of different formats for expressing models and the lack of machine-processable semantic specifications of the model content. In this paper we present a flexible approach for transforming information from such enterprise models to RDF. Thereby, we use a model weaving technique to annotate conceptual models with concepts from ontologies. For assessing its technical feasibility, the approach has been implemented on the SeMFIS platform and applied to a use case in the area of business process management.