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3 More C's Of Ontology Engineering In The Enterprise

Decouple your internal ontology from what you publish

The fact that your internal architecture has been built upon a rich cohesive ontology that fits your requirements, and provides for robust and easy to maintain enterprise software need not determine (or compromise!) what you want to publish to any given consumer. Marking up…

#ontology #ethics #philosophy #schema #fact

An Example Of Ontology Driven Software Engineering

SNaP ontologies and rNews

What about rNews and Schema.org ? A semantic publishing architecture based on full-blown RDF and the SNaP ontologies is by no means mutually exclusive with rNews, schema.org micro data or any other schemas for that matter (in fact the SNaP ontologies already inherit from many…

#architecture #RDF #ontology #metadata #schema

Dataspaces - Wikipedia, The Free Encyclopedia

Dataspaces

Dataspaces are an abstraction in data management that aim to overcome some of the problems encountered in data integration system. The aim is to reduce the effort required to set up a data integration system by relying on existing matching and mapping generation techniques, and…

#data-integration #schema

Harnessing The Power Of Data Discovery: Pt. 2 | Yarcdata

Graph database vs relational database

The marketing manager is hypothesis-testing: she might use this data for a while and then realize that adding geographic information would be useful too since a marathon is going to take place in this town. This way, she can figure out which folks and their friends who live in…

#graph-database #schema #nodes #database #graph #things

Help - Topbraid Composer Fe

How ontologies differ from other information models

RDFS and OWL are languages with clearly defined semantics or mathematical basis for the meaning of each construct. Semantics are defined in terms of inferences each statement entails. Since concepts in RDFS and OWL ontologies are expressed formally, they can be processed by…

#ontology #business-rules #XML-schema #schema #RDFS

Rdf Primer

RDF schemas describe rather than prescribe

One benefit of the RDF property-based approach is that it becomes easier to extend the use of property definitions to situations that might not have been anticipated in the original description. At the same time, this is a "benefit" which must be used with care, to insure that…

#RDF-Schema #schema #information #applications

Vocabularies for types, properties and values

However, in addition to the basic techniques for describing things using RDF statements discussed so far, it should be clear that people or organizations also need a way to describe the vocabularies (terms) they intend to use in those statements, specifically, vocabularies for…

#vocabulary #things #statements #schema #people

RDF Schema provides a type system for RDF.

RDF Schema does not provide a vocabulary of application-specific classes like exterms:Tent, ex2:Book, or ex3:Person, and properties like exterms:weightInKg, ex2:author or ex3:JobTitle. Instead, it provides the facilities needed to describe such classes and properties, and to…

#RDF-Schema #RDF-classes #schema

Schema Crosswalk - Wikipedia, The Free Encyclopedia

Schema crosswalk

A Schema crosswalk is a table that shows equivalent elements (or "fields") in more than one database schema. It maps the elements in one schema to the equivalent elements in another schema. Crosswalk tables are often employed within or in parallel to enterprise systems…

#schema #scheme #format #archives

Ten Pitfalls Of Enterprise Ontology Management

Ontologies and xml

You can use ontologies as a central location to store the semantics or meaning of the data elements that live on the leaves of XML documents. When they are stored in a well-controlled centralized corporate ontology the definitions of the data elements go beyond the needs of a…

#web-services #XML-schema #data-elements #semantics #schema #ontology

The Cidoc Conceptual Reference Module: An Ontological Approach To Semantic Interoperability Of Metadata

Necessity of data structure diversity

Let us regard here data structures for long-term storing of data, as database schemata, but also tagging schemes like SGML/XML DTD, RDF Schema, and data structures designed as fill-in forms guiding users to a complete and consistent documentation [...] These structures are…

#data-structure #users #complexity #schema #applications

Thesauri Of Historical Periods – A Proposal For Standardization.

A schema for period definition documents

The schema describes a single period concept as a single document (in the sequence called “period definition document”) that may link to other period definition documents and auxiliary concepts, such as bi bliography or gazetteer entries. A period thesaurus is built from a set…

#documents #cultural-influences #period-definitions #schema #concept

What Is Big Data? An Introduction To The Big Data Landscape.

Static schemas versus flexible NoSQL

Even where there's not a radical data type mismatch, a disadvantage of the relational database is the static nature of its schemas. In an agile, exploratory environment, the results of computations will evolve with the detection and extraction of more signals. Semi-structured…

#schema #relational-database #database

Where Are The Semantics In The Semantic Web?

XML schemas say nothing about semantics

Because XML is widely used, DTDs and XML Schema are convenient ways to express standards. There are many such standards emerging in a variety of sectors. For example, the news and magazine publishing industries have developed NewsML [ITPC 2000] and PRISM (Publishing…

#XML-schema #XML #schema