Topic
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.
Papers published on a yearly basis
Papers
More filters
20 Oct 2008
TL;DR: This paper exemplifies the described techniques with respect to the extraction of two content ontology design patterns from the DOLCE+DnS Ultra Lite ontology by showing the design of a simplified ontology for the music industry domain.
Abstract: In this paper we present how to extract and describe emerging content ontology design patterns, and how to compose, specialize and expand them for ontology design, with particular focus on Semantic Web technologies We exemplify the described techniques with respect to the extraction of two content ontology design patterns from the DOLCE+DnS Ultra Lite ontology, and by showing the design of a simplified ontology for the music industry domain
157 citations
TL;DR: In this article, an ontology-based method for assessing similarity between FCA concepts is proposed, which is intended to support the ontology engineer in difficult activities that are becoming fundamental in the development of the Semantic Web, such as us ontology merging and ontology mapping.
157 citations
TL;DR: This semantic analysis approach can be used in semantic annotation and transcoding systems, which take into consideration the users environment including preferences, devices used, available network bandwidth and content identity.
Abstract: An approach to knowledge-assisted semantic video object detection based on a multimedia ontology infrastructure is presented. Semantic concepts in the context of the examined domain are defined in an ontology, enriched with qualitative attributes (e.g., color homogeneity), low-level features (e.g., color model components distribution), object spatial relations, and multimedia processing methods (e.g., color clustering). Semantic Web technologies are used for knowledge representation in the RDF(S) metadata standard. Rules in F-logic are defined to describe how tools for multimedia analysis should be applied, depending on concept attributes and low-level features, for the detection of video objects corresponding to the semantic concepts defined in the ontology. This supports flexible and managed execution of various application and domain independent multimedia analysis tasks. Furthermore, this semantic analysis approach can be used in semantic annotation and transcoding systems, which take into consideration the users environment including preferences, devices used, available network bandwidth and content identity. The proposed approach was tested for the detection of semantic objects on video data of three different domains.
155 citations
06 Nov 2005
TL;DR: In this paper, the source and target ontologies are first translated into Bayesian networks (BN) and the concept mapping between the two ontologies is treated as evidential reasoning between the translated BNs.
Abstract: This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning between the two translated BNs. Probabilities needed for constructing conditional probability tables (CPT) during translation and for measuring semantic similarity during mapping are learned using text classification techniques where each concept in an ontology is associated with a set of semantically relevant text documents, which are obtained by ontology guided web mining. The basic ideas of this approach are validated by positive results from computer experiments on two small real-world ontologies.
153 citations