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Auflistung nach Schlagwort "Ontologies"

1 - 10 von 14
  • Zeitschriftenartikel
    15 Years of Semantic Web: An Incomplete Survey
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Glimm, Birte; Stuckenschmidt, Heiner
    It has been 15 years since the first publications proposed the use of ontologies as a basis for defining information semantics on the Web starting what today is known as the Semantic Web Research Community. This work undoubtedly had a significant influence on AI as a field and in particular the knowledge representation and Reasoning Community that quickly identified new challenges and opportunities in using Description Logics in a practical setting. In this survey article, we will try to give an overview of the developments the field has gone through in these 15 years. We will look at three different aspects: the evolution of Semantic Web Language Standards, the evolution of central topics in the Semantic Web Community and the evolution of the research methodology.
  • Zeitschriftenartikel
    A Terminology Service Supporting Semantic Annotation, Integration, Discovery and Analysis of Interdisciplinary Research Data
    (Datenbank-Spektrum: Vol. 16, No. 3, 2016) Karam, Naouel; Müller-Birn, Claudia; Gleisberg, Maren; Fichtmüller, David; Tolksdorf, Robert; Güntsch, Anton
    Research has become more data-intensive over the last few decades. Sharing research data is often a challenge, especially for interdisciplinary collaborative projects. One primary goal of a research infrastructure for data management should be to enable efficient data discovery and integration of heterogeneous data. In order to enable such interoperability, a lot of effort has been undertaken by scientists to develop standards and characterize their domain knowledge in the form of taxonomies and formal ontologies. However, these knowledge models are often disconnected and distributed. The work presented here provides a promising approach for integrating and harmonizing terminological resources to serve as a backbone for a platform. The component developed, called the GFBio Terminology Service, acts as a semantic platform for access, development and reasoning over internally and externally maintained terminological resources within the biological and environmental domain. We highlight the utility of the Terminology Service by practical use cases of semantically enhanced components. We show how the Terminology Service enables applications to add meaning to their data by giving access to the knowledge that can be derived from the terminologies and data annotated by them.
  • Zeitschriftenartikel
    e3service: A Critical Reflection and Future Research
    (Business & Information Systems Engineering: Vol. 57, No. 1, 2015) Razo-Zapata, Iván S.; Gordijn, Jaap; Leenheer, Pieter; Wieringa, Roel
    Commercial services are of utmost importance for the economy. Due to the widespread use of information and communication technologies, many of these services may be delivered online by means of service value networks. To automate this delivery, however, issues such as composition, integration, and operationalization need to be addressed. In this paper, the authors share their long-term vision on composition of service value networks and describe relationships with fields such as cloud computing and enterprise computing. As a demonstration of the state of the art, capabilities and limitations of e3service are described and research challenges are defined.
  • Konferenzbeitrag
    Educational pathways in a German labor market knowledge graph
    (INFORMATIK 2024, 2024) Kostadinovska, Katerina; Dörpinghaus, Jens
    Educational pathways play a pivotal role in fostering lifelong learning and skilled workforces. We build upon a German labor market knowledge graph that was developed from the German Labor Market Ontology (GLMO). The GLMO provides entities for qualifications, such as occupations and training programs, as well as tools and skills. To conduct research on educational pathways, we employ several graph algorithms, such as shortest paths, and present the results. It is possible to demonstrate the advantages of digital methods in sociological research, thereby advancing the boundaries of computational social sciences in labor market research.
  • Zeitschriftenartikel
    Grounding the Interaction: Knowledge Management for Interactive Robots
    (KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Lemaignan, Séverin
    The dissertation tackles the broad question of knowledge representation and manipulation for companion robots. It first builds a taxonomy of the knowledge manipulation skills required by service robots, then proposes a novel active knowledge base that integrates into large cognitive architectures, and finally explores several applications, including natural language grounding.
  • Zeitschriftenartikel
    Is Your Database System a Semantic Web Reasoner?
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Krötzsch, Markus; Rudolph, Sebastian
    Databases and semantic technologies are an excellent match in scenarios requiring the management of heterogeneous or incomplete data. In ontology-based query answering, application knowledge is expressed in ontologies and used for providing better query answers. This enhancement of database technology with logical reasoning remains challenging—performance is critical. Current implementations use time-consuming pre-processing to materialise logical consequences or, alternatively, compute a large number of large queries to be answered by a database management system (DBMS). Recent research has revealed a third option using recursive query languages to “implement” ontological reasoning in DBMS. For lightweight ontology languages, this is possible using the popular Semantic Web query language SPARQL 1.1, other cases require more powerful query languages like Datalog, which is also seeing a renaissance in DBMS today. Herein, we give an overview of these areas with a focus on recent trends and results.
  • Konferenzbeitrag
    NFDI4Energy Task Area 4: FAIR Data for Energy System Research
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Wein, Amanda; Reinkensmeier, Jan; Weidlich, Anke; Lilliestam, Johan; Hagenmeyer, Veit; Lehnhoff, Sebastian
    The NFDI4Energy consortium will create a research data infrastructure for energy system research, emphasizing the openness and FAIRness of data and models in this research domain. Within the consortium, Task Area 4 focuses on the development of resources and services that will provide a semantic layer for the overall platform built by NFDI4Energy. The team of this Task Area will produce artifacts including a domain ontology, metadata standards, a knowledge graph, a Persistent Identifier service, and integration infrastructure to join these artifacts to the NFDI4Energy platform.
  • Textdokument
    An Ontology-based Approach for Domain-driven Design of Microservice Architectures
    (INFORMATIK 2017, 2017) Diepenbrock, Andreas; Rademacher, Florian; Sachweh, Sabine
    Microservice Architecture (MSA) is an emerging service-based architectural style that focuses on the design and implementation of highly scalable distributed software systems. To analyze the business domain and its decomposition into services Domain-driven Design (DDD) is commonly applied. DDD is an approach for designing software that relies on various model-based concepts to express knowledge about the business domain, e.g. the Bounded Context (BC) pattern, which clusters a set of coherent Domain Models (DM). In addition to the fact that MSAs fosters a high degree of team independence, the uncoordinated evolution of DMs that originally were semantically equivalent or partially shared similar semantics can occur. In this paper, we identify challenges related to the semantic decoupling of DMs. Additionally, we present a metamodel for modeling MSAs based on the principles of DDD which allows the expression of semantics for relationships between fragmented DMs and SMs.
  • Zeitschriftenartikel
    Ontology-Based Mobile Communication in Agriculture
    (KI - Künstliche Intelligenz: Vol. 27, No. 4, 2013) Grimnes, Gunnar Aastrand; Kiesel, Malte; Bernardi, Ansgar
    This paper describes the use of semantic technologies to enable a public/private communication network in the iGreen project. The motivation for using semantic technologies is outlined, and a description of the iGreen ontology-server is given, and the services this provides to users and developers. We discuss the semantic data-sets published in iGreen and the steps taken to enrich and interlink these.
  • Zeitschriftenartikel
    Querying Rich Ontologies by Exploiting the Structure of Data
    (KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Bajraktari, Labinot
    Ontology-based data access (OBDA) has emerged as a paradigm for accessing heterogeneous and incomplete data sources. A fundamental reasoning service in OBDA, the ontology mediated query (OMQ) answering has received much attention from the research community. However, there exists a disparity in research carried for OMQ algorithms for lightweight DLs which have found their way into practical implementations, and algorithms for expressive DLs for which the work has had mainly theoretical oriented goals. In the dissertation, a technique that leverages the structural properties of data to help alleviate the problems that typically arise when answering the queries in expressive settings is developed. In this paper, a brief summary of the technique along with the different algorithms developed for OMQ for expressive DLs is given.