Ontology Research Papers

Ontology Research Papers-82
The Distributed Ontology Language DOL, which is currently being standardised as ISO WD 17347 within the Onto IOp (Ontology Integration and Interoperability) activity of ISO/TC 37/SC 3, aims at providing a unified framework for (1) ontologies formalised in An Approach to Developing an Ontology that Represents Knowledge Embedded in Filmed download ABSTRACT This paper introduces the reader to the approach we are taking to develop an ontology that could be used to represent the knowledge inherent in filmed materials.Such an ontology could be used as the semantic basis for multimedia retrieval systems.

The Distributed Ontology Language DOL, which is currently being standardised as ISO WD 17347 within the Onto IOp (Ontology Integration and Interoperability) activity of ISO/TC 37/SC 3, aims at providing a unified framework for (1) ontologies formalised in An Approach to Developing an Ontology that Represents Knowledge Embedded in Filmed download ABSTRACT This paper introduces the reader to the approach we are taking to develop an ontology that could be used to represent the knowledge inherent in filmed materials.Such an ontology could be used as the semantic basis for multimedia retrieval systems.To this end, we have extended our ontology matching system LOGMAP with complete OWL 2 DL reasoning and diagnosis Developing an Ontology for Sharing Biobank Data based on the BBMRI Minimum Data Set MIABISfree download ABSTRACT Sharing data about heterogeneous collections of specimens stored in biobanks is an important topic with respect to making optimal use of sparse resources.

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Here we discuss Tightly integrated probabilistic description logic programs for representing ontology mappingsfree download Abstract Creating mappings between ontologies is a common way of approaching the semantic heterogeneity problem on the Semantic Web.

To fit into the landscape of Semantic Web languages, a suitable, logic-based representation formalism for mappings is needed.

Texts written in natural language show a statistical On the feasibility of using OWL 2 DL reasoners for ontology matching problemsfree download Abstract.

In this paper we discuss the feasibility of using OWL 2 DL reasoners to diagnose the integration of large-scale ontologies via mappings.

That s especially true in virtual community for software development, where creating and updating documents is not a high priority activity and architectural knowledge remain The cognitive paradigm ontology: design and applicationfree download ABSTRACT We present the basic structure of the Cognitive Paradigm Ontology (Cog PO) for human behavioral experiments.

While the experimental psychology and cognitive neuroscience literature may refer to certain behavioral tasks by name (eg, the Stroop Ontology-based Solution for Data Warehousing in Genetic Neurological Diseasefree download ABSTRACT In the field of genetic disorder of the nervous system, there is a huge amount of information available on the Internet.owl: A didactically sound example-ontology for teaching description logics in OWL 2free download A didactically sound example-ontology for teaching description logics in OWL 2 Daniel Schober 1*, Niels Grewe 2, Johannes Rhl 2, Martin Boeker 1 1Institute of Medical Biometry and Medical Informatics (IMBI), University Medical Center, Freiburg, Germany COMPARING ONTOLOGY LANGUAGES FOR MODEL REPRESENTATION OF THE SITBACONTOLOGY VIA A CONTROLLED EXPERIMENT-RESEARCH free download In recent years, we can see increased use of ontology languages, such as Frames [Minsky, representing knowledge.Knowledge representation has become necessary in various COMPREHENSIVE ONTOLOGY COGNITIVE ASSISTED VISUALIZATION TOOLS-A SURVEYfree download ABSTRACT Comprehensive Ontology is used in different contexts with different authors.In this paper we are interested in what happens if we enrich these matching tools with knowledge of the Summarize gene annotations based on collective ontology annotationsfree download As computational and high throughput analyses have been widely used in interpreting gene functions, the number of gene annotations and resultant metadata describing the conditions for each annotation has increased dramatically.To standardize these annotations, genes Improving Access to Software Architecture Knowledge An Ontology-based Search Approachfree download ABSTRACT Every software has an architecture, but in most cases it is poorly documented.To address this problem, standardized languages have been developed by and for the community, such Completeness guarantees for incomplete ontology reasoners: Theory and practicefree download Abstract To achieve scalability of query answering, the developers of Semantic Web applications are often forced to use incomplete OWL 2 reasoners, which fail to derive all answers for at least one query, ontology, and data set.The lack of completeness The language of gene ontology: a Zipf s law analysisfree download Background Most major genome projects and sequence databases provide a GO annotation of their data, either automatically or through human annotators, creating a large corpus of data written in the language of GO.OWL 2 Profiles: An Introduction to Lightweight Ontology Languagesfree download This chapter gives an extended introduction to the lightweight profiles OWL EL, OWL QL, and OWL RL of the Web Ontology Language OWL.The three ontology language standards are sublanguages of OWL DL that are restricted in ways that significantly simplify Zoo Animals.Uberon, an integrative multi-species anatomy ontologyfree download Abstract We present Uberon, an integrated cross-species ontology consisting of over 6,500 classes representing a variety of anatomical entities, organized according to traditional anatomical classification criteria.The ontology represents structures in a species-neutral goseq: Gene Ontology testing for RNA-seq datasetsfree download This document gives an introduction to the use of the goseq R Bioconductor package Computational Neuroscience Ontology: a new tool to provide semantic meaning to your modelsfree download The diversity of modeling approaches in computational neuroscience makes model sharing, retrieval, reuse and reproducibility difficult and even sometimes impossible.

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