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- Cedric
- Cedric

... The difference between a published XML schema and a PDV is subtle. On the one hand, even if not mandatory, a PDV may discard useless nodes in the XML schema, by removing sub-trees or by replacing a path between two nodes by a single “//” edge. Removing nodes helps improving schema management, storag ...
A Semantic Desktop
A Semantic Desktop

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... Councils, as well as by project funding from the JISC’s Electronic Libraries Programme and the European Union. UKOLN also receives support from the University of Bath where it is based. ...
Relationalizing RDF stores for tools reusability
Relationalizing RDF stores for tools reusability

... blank node scenarios such as single or multi-valued literal blank nodes, single or multi-valued resource blank nodes, and mixed (literal/resource) blank nodes using a variety of constructs that are described in [2]. RDF features such as RDF Containers and RDF Collections are also supported using the ...
Domain Ontologies: A Database-Oriented Analysis
Domain Ontologies: A Database-Oriented Analysis

... 1. Formal. An ontology is a conceptualization based on a formal theory which allows to check some level of consistency and to perform some level of automatic reasoning over the ontology-defined concepts and individuals. We note that this criterion excludes most meta-models that do not provide automa ...
20rdbs
20rdbs

... An RDF Data Model with inferencing (RDFS, OWL and user-defined rules) Performs SQL-based access to triples and inferred data Combines SQL query of relational data with RDF graphs and ontologies Scalable: supports large graphs (billion+ triples) Support for Special queries ...
A Discussion of Some Intuitions of Defeasible Reasoning
A Discussion of Some Intuitions of Defeasible Reasoning

... Homepage http://www.amitavghosh.com ...
20r2r
20r2r

... Materialize the RDF triples from the database using the mappings Use a server to dynamically access the relational data given a SPARQL query Use a DBMS that directly supports RDF (e.g., Oracle 11g, DB2) ...
Organizing Committee and Contents
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... refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers contained in these working notes without first exploring the options available through AAA ...
RDF Resource Description Framework
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... Search Engine Example What is RDF? Triples Vocabularies RDF/XML Why RDF? ...
slides - Bio-Ontologies 2017
slides - Bio-Ontologies 2017

... The BioImage Database aims to provide a searchable database of highquality multidimensional research images of biological specimens, both ‘raw’ and processes, with detailed supporting metadata concerning:  the biological specimen itself  the experimental procedure  details of image formation and ...
Ontology Learning
Ontology Learning

... relates to parts of ontologies that have been created in the way that they can be changed ...
A Path-based Relational RDF Database Akiyoshi Matono Toshiyuki
A Path-based Relational RDF Database Akiyoshi Matono Toshiyuki

... RDF is commonly used for large data, such as ontology or dictionaries. If we use conventional RDF databases to process such large data, some problems may emerge. ...
Full paper local copy - Semantic Web and Agent Technologies Lab
Full paper local copy - Semantic Web and Agent Technologies Lab

... 4) A set of performance metrics including data loading time, repository size, query response time, and degree of query completeness and soundness. We have developed these metrics by borrowing from standard database benchmarks and at the same time trying to address the unique properties of the Semant ...
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... these languages allow smarter integration and connection of data, making it easier to query and use the data ...
Document
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... authors of the OASIS standards, in particular Topic Maps. In Topic Maps we have an open world assumption and very little emphasis on computational inference. Human knowledge is represented in a “shallow form, and visualization is used to manage this representation. Computation with topic maps AND OW ...
HCLSIG_BioRDF_Subgroup$SW_eNeuroscience_HCLSIG2
HCLSIG_BioRDF_Subgroup$SW_eNeuroscience_HCLSIG2

... against multiple RDF datasets • The following two examples illustrate how such queries can be made to retrieve and integrate data from BrainPharm and SWAN ...
Computational Complexity of Semantic Web Language
Computational Complexity of Semantic Web Language

... • Whenever the complexity for a given problem is described as Open, with a star, (*), it is meant that its decidability is still an open question; if the star (*) is omitted, then the problem is known to be decidable but precise complexity bounds have not yet been established. If a problem is lab ...
Unifying Data and Domain Knowledge Using Virtual Views    Kalyana Krishnan  Overview 
Unifying Data and Domain Knowledge Using Virtual Views    Kalyana Krishnan  Overview 

... they have used to marry both DBMS and ontology. Since most of the existing data is present in  DBMS,  they  devise  an  approach  which  can  augment  the  existing  DBMS’s  and  allow  semantic  data querying. Also they state the following theorem:  With respect to the fragment of horn rules that w ...
slides - Ontolog
slides - Ontolog

... Web presence – Wiki (www.socop.org) Workshops/meetings, in-person/virtual ...
Ontologies and Databases: myths and challenges
Ontologies and Databases: myths and challenges

... to the information mediated by the ontology. Good ontologies put their emphasis on the correct and semantically rich representation of complex properties and relations that may exist in the data; they should allow for an abstract representation of information which resembles the way they are actuall ...
Semantic Web Applications in Bioinformatics
Semantic Web Applications in Bioinformatics

... • association of concepts to existing data, • metadata information describing information sources and contents, • search tools able to make the best use of this additional information. ...
Ontology
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... answer business questions? And…have the agility to add more sources in a timely manner? • How can I retrieve only the information that I need that is “relevant” to me, versus everything? • How can I extract value from paper-based forms/documents? ...
Royal College of Surgeons in Ireland Coláiste Ríoga na Máinleá in
Royal College of Surgeons in Ireland Coláiste Ríoga na Máinleá in

... 1 CPR Repository ...
SWTMedicalInformatics
SWTMedicalInformatics

... classes they are a member of (type)  There are vocabularies that define constraints on ...
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Web Ontology Language

The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects. Ontologies resemble class hierarchies in object-oriented programming but there are several critical differences. Class hierarchies are meant to represent structures used in source code that evolve fairly slowly (typically monthly revisions) whereas ontologies are meant to represent information on the Internet and are expected to be evolving almost constantly. Similarly, ontologies are typically far more flexible as they are meant to represent information on the Internet coming from all sorts of heterogeneous data sources. Class hierarchies on the other hand are meant to be fairly static and rely on far less diverse and more structured sources of data such as corporate databases. The OWL languages are characterized by formal semantics. They are built upon a W3C XML standard for objects called the Resource Description Framework (RDF). OWL and RDF have attracted significant academic, medical and commercial interest.In October 2007, a new W3C working group was started to extend OWL with several new features as proposed in the OWL 1.1 member submission. W3C announced the new version of OWL on 27 October 2009. This new version, called OWL 2, soon found its way into semantic editors such as Protégé and semantic reasoners such as Pellet, RacerPro, FaCT++ and HermiT.The OWL family contains many species, serializations, syntaxes and specifications with similar names. OWL and OWL2 are used to refer to the 2004 and 2009 specifications, respectively. Full species names will be used, including specification version (for example, OWL2 EL). When referring more generally, OWL Family will be used.
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