Upper ontology

About: Upper ontology is a research topic. Over the lifetime, 9767 publications have been published within this topic receiving 220721 citations. The topic is also known as: top-level ontology & foundation ontology.

Semantic Management of Middleware

Abstract: The Ph.D. proposal addresses the complexity of building distributed applications and systems with Application Servers and Web Services middleware, respectively. Despite their flexible XML-based configuration, taming the ever growing complexity remains all but an easy task. To remedy such problems, the thesis proposes an ontology-based approach to support the management (i.e. development and administration) of Application Server and Web Services based applications. The ontology captures properties of, relationships between and behaviors of the components and services that are required for management purposes. The ontology is an explicit conceptual model with formal logic-based semantics. Therefore its descriptions of components and services may be queried, may foresight required actions, or may be checked to avoid inconsistent system configurations --- during development as well as during run time. Thus, the ontology-based approach retains the original flexibility, but it adds new capabilities for the developer and user of the system.

CNTRO: A Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives

Abstract: Using Semantic-Web specifications to represent temporal information in clinical narratives is an important step for temporal reasoning and answering time-oriented queries. Existing temporal models are either not compatible with the powerful reasoning tools developed for the Semantic Web, or designed only for structured clinical data and therefore are not ready to be applied on natural-language-based clinical narrative reports directly. We have developed a Semantic-Web ontology which is called Clinical Narrative Temporal Relation ontology. Using this ontology, temporal information in clinical narratives can be represented as RDF (Resource Description Framework) triples. More temporal information and relations can then be inferred by Semantic-Web based reasoning tools. Experimental results show that this ontology can represent temporal information in real clinical narratives successfully.

Ontology Extraction for Knowledge Reuse: The e-Learning Perspective

Abstract: Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications However, the process of ontology building is still a lengthy and error-prone task Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been developed In this paper, we present our approach to extract relevant ontology concepts and their relationships from a knowledge base of heterogeneous text documents We also show the architecture of the implemented system and discuss the experiments in a real-world context

Ontology Design with Formal Concept Analysis.

Abstract: Ontologies, often defined as an explicit specification of conceptualization, are necessary for knowledge representation and knowledge exchange. Usually this means that ontology describes concepts and relations that exist in a domain. To enable knowledge exchange, it is necessary to describe these concepts and relations in a better way than just ordering them in taxonomy. However, ontology design usually starts and stops with designing taxonomies. We present a method that is based on formal concept analysis, which is a theory of data analysis which identifies conceptual structures among data sets. This method allows for discovering necessity for new concepts and relations in an ontology, which leads to an ontology that has these entities described in a way suitable for knowledge exchange.