Semantic web data space

A semantic web data space is a container for domain specific portable data, which is provided in human and/or machine friendly structures. Data in a data space can be referenced by an identifier, and is linked with other data across spaces and domains, and thus can be viewed in an object-oriented fashion.

The underlying paradigm brings together ideas and technologies from various sources:

* The Semantic Web, and the linked data project
* Object-oriented databases
* Data portability
* Web 2.0, and content management systems
* Ontologies and categorization

The approach can be applied to both Web based systems and desktop-based systems.

## Contents

* 1 Semantic web data spaces, linked data, and data portability
* 2 Related web technologies
* 3 See also
* 4 References

## Semantic web data spaces, linked data, and data portability

Data in data spaces are linked across spaces and domains to enhance the meaning of internal data, this supports the work of the linked data project which is part of the Semantic Web effort. This has the benefit of being a useful point for querying about information across domains, and assists the development of a Web of Data.

A data space should be fully supportive of data portability such as that advocated by the DataPortability project. This means that an object in a data space should be movable and should also have the ability to be referenced using an identifier such as a uniform resource identifier.

## Related web technologies

* Uniform resource identifiers for object identifiers
* Resource description framework for object and data space descriptions
* SPARQL for querying about objects across domains

## See also

* Dataspaces
* Data integration

## References

* H.Zhuge, The Web Resource Space Model, Springer, 2008.
* H.Zhuge, Y.Xing and P.Shi, Resource Space Model, OWL and Database: Mapping and Integration, ACM Transactions on Internet Technology, 8/4, 2008.
* H.Zhuge, Resource space model, its design method and applications. Journal of Systems and Software, 72(1)(2004)71–81.

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Semantic Web

Background|

* Databases
* Hypertext
* Internet
* Ontologies
* Semantics
* Semantic networks
* World Wide Web

Sub-topics|

* Dataspaces
* Hyperdata
* Linked data
* Rule-based systems

Applications|

* Semantic analytics
* Semantic broker
* Semantic computing
* Semantic mapper
* Semantic matching
* Semantic publishing
* Semantic reasoner
* Semantic search
* Semantic service-oriented architecture
* Semantic wiki

Related topics|

* Collective intelligence
* Description logic
* Folksonomy
* Geotagging
* Information architecture
* Knowledge extraction
* Knowledge management
* Knowledge representation and reasoning
* Library 2.0
* Digital library
* Digital humanities
* Metadata
* References
* Topic map
* Web 2.0
* Web engineering
* Web Science Trust

Standards|

| Syntax and supporting technologies|

* HTTP
* IRI
* URI
* RDF
* triples
* RDF/XML
* JSON-LD
* Turtle
* TriG
* Notation3
* N-Triples
* TriX (no W3C standard)
* RRID
* SPARQL
* XML
* Semantic HTML

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Schemas, ontologies and rules|

* Common Logic
* OWL
* RDFS
* Rule Interchange Format
* Semantic Web Rule Language
* ALPS
* SHACL

Semantic annotation|

* eRDF
* GRDDL
* Microdata
* Microformats
* RDFa
* SAWSDL
* Facebook Platform

Common vocabularies|

* DOAP
* Dublin Core
* FOAF
* Schema.org
* SIOC
* SKOS

Microformat vocabularies|

* hAtom
* hCalendar
* hCard
* hProduct
* hRecipe
* hResume
* hReview

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