Applications of semantic web methodologies and techniques to social networks and social websites

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Applications of semantic web methodologies and techniques to social networks and social websites
Authors: Sheila Kinsella, John G. Breslin, Alexandre Passant, Stefan Decker [edit item]
Citation: Reasoning Web  : . 2008.
Publication type: Journal article
Peer-reviewed: Yes
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DOI: Define doi.
Google Scholar cites: Citations
Link(s): Paper link
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Applications of semantic web methodologies and techniques to social networks and social websites is a publication by Sheila Kinsella, John G. Breslin, Alexandre Passant, Stefan Decker.


[edit] Abstract

One of the most visible trends on the Web is the emergence of “Social Web” sites which facilitate the creation and gathering of knowledge through the simplification of user contributions via blogs, tagging and folksonomies, wikis, podcasts, and the deployment of online social networks. The Social Web has enabled community-based knowledge acquisition with efforts like the Wikipedia demonstrating the “wisdom of the crowds” in creating the world’s largest online encyclopaedia. Although it is difficult to define the exact boundaries of what structures or abstractions belong to the Social Web, a common property of such sites is that they facilitate collaboration and sharing between users with low technical barriers, although usually on single sites. As more social websites form around the connections between people and their objects of interest, and as these “object-centred networks” grow bigger and more diverse, more intuitive methods are needed for representing and navigating the content items in these sites: both within and across social webs ites. Also, to better enable user access to multiple sites, interoperability among social websites is required in terms of both the content objects and the person-to-person networks expressed on each site. This requires representation mechanisms to interconnect people and objects on the Social Web in an interoperable and extensible way. The Semantic Web provides such representation mechanisms: it can be used to link people and objects by representing the heterogeneous ties that bind us all to each other (either directly or indirectly). In this paper, we will describe methods that build on agreed-upon Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create, reuse, and link content on social networking sites and social websites.

[edit] Research questions

"In this paper, we will describe methods that build on agreed-upon Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create, reuse, and link content on social networking sites and social websites."

Research details

Topics: Technical infrastructure [edit item]
Domains: Information systems [edit item]
Theory type: Analysis, Explanation [edit item]
Wikipedia coverage: Case [edit item]
Theories: "A social network can be viewed as a graph where the nodes represent individuals and the

edges represent relations. Methods from graph theory can be use to study these networks, and we will describe how social network analysis can consume semantic data from the food chain.

It is often found that even though one route is followed to get in contact with a particular person, after talking to them there is another obvious connection that was not previously known about. This is part of the small-world network theory [28], which says that most nodes in a network exhibiting small-world characteristics (such as a social network) can be reached from every other node by a small number of hops or steps." [edit item]

Research design: Case study [edit item]
Data source: Websites [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Website [edit item]
Wikipedia data extraction: Live Wikipedia [edit item]
Wikipedia page type: N/A [edit item]
Wikipedia language: Not specified [edit item]

[edit] Conclusion

"In this paper, we have described the significance of community-oriented and contentsharing sites on the Web, the shortcomings of many of these sites as they are now, and the benefits that semantic technologies can bring to social networks and social websites. Online social spaces encouraging content creation and sharing have resulted in the formation of massive and intricate networks of people and associated content. However the lack of integration between sites means that these networks are disjoint and users are unable to reuse data across sites. Semantic Web technologies can solve some of these issues and improve the value and functionality of online social spaces. The process of creating and using semantic data in the Social Web can be viewed as a sort of food chain of producers, collectors and consumers. Semantic data producers publish information in structured, common formats, such that it can be easily integrated with data from other diverse sources. Collectors, if necessary, aggregate and consolidate heterogeneous data from other diverse sources. Consumers may use this data for analysis or in end-user applications."

[edit] Comments

"Online social spaces encouraging content creation and sharing have resulted

in the formation of massive and intricate networks of people and associated content.

However the lack of integration between sites means that these networks are disjoint

and users are unable to reuse data across sites. Semantic Web technologies can solve

some of these issues and improve the value and functionality of online social spaces.

The process of creating and using semantic data in the Social Web can be viewed as a

sort of food chain of producers, collectors and consumers. Semantic data producers

publish information in structured, common formats, such that it can be easily integrated

with data from other diverse sources. Collectors, if necessary, aggregate and

consolidate heterogeneous data from other diverse sources. Consumers may use this

data for analysis or in end-user applications."


Further notes[edit]

Facts about "Applications of semantic web methodologies and techniques to social networks and social websites"RDF feed
AbstractOne of the most visible trends on the Web One of the most visible trends on the Web is the emergence of “Social Web” sites which facilitate the creation and gathering of knowledge through the simplification of user contributions via blogs, tagging and folksonomies, wikis, podcasts, and the deployment of online social networks. The Social Web has enabled community-based knowledge acquisition with efforts like the Wikipedia demonstrating the “wisdom of the crowds” in creating the world’s largest online encyclopaedia. Although it is difficult to define the exact boundaries of what structures or abstractions belong to the Social Web, a common property of such sites is that they facilitate collaboration and sharing between users with low technical barriers, although usually on single sites. As more social websites form around the connections between people and their objects of interest, and as these “object-centred networks” grow bigger and more diverse, more intuitive methods are needed for representing and navigating the content items in these sites: both within and across social webs ites. Also, to better enable user access to multiple sites, interoperability among social websites is required in terms of both the content objects and the person-to-person networks expressed on each site. This requires representation mechanisms to interconnect people and objects on the Social Web in an interoperable and extensible way. The Semantic Web provides such representation mechanisms: it can be used to link people and objects by representing the heterogeneous ties that bind us all to each other (either directly or indirectly). In this paper, we will describe methods that build on agreed-upon Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create, reuse, and link content on social networking sites and social websites.cial networking sites and social websites.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
CommentsOnline social spaces encouraging content cOnline social spaces encouraging content creation and sharing have resulted

in the formation of massive and intricate networks of people and associated content.

However the lack of integration between sites means that these networks are disjoint

and users are unable to reuse data across sites. Semantic Web technologies can solve

some of these issues and improve the value and functionality of online social spaces.

The process of creating and using semantic data in the Social Web can be viewed as a

sort of food chain of producers, collectors and consumers. Semantic data producers

publish information in structured, common formats, such that it can be easily integrated

with data from other diverse sources. Collectors, if necessary, aggregate and

consolidate heterogeneous data from other diverse sources. Consumers may use this

data for analysis or in end-user applications.
for analysis or in end-user applications.
ConclusionIn this paper, we have described the signiIn this paper, we have described the significance of community-oriented and contentsharing sites on the Web, the shortcomings of many of these sites as they are now, and the benefits that semantic technologies can bring to social networks and social

websites. Online social spaces encouraging content creation and sharing have resulted in the formation of massive and intricate networks of people and associated content. However the lack of integration between sites means that these networks are disjoint and users are unable to reuse data across sites. Semantic Web technologies can solve some of these issues and improve the value and functionality of online social spaces. The process of creating and using semantic data in the Social Web can be viewed as a sort of food chain of producers, collectors and consumers. Semantic data producers publish information in structured, common formats, such that it can be easily integrated with data from other diverse sources. Collectors, if necessary, aggregate and consolidate heterogeneous data from other diverse sources. Consumers may use this

data for analysis or in end-user applications.
for analysis or in end-user applications.
Data sourceWebsites +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Applications%2Bof%2Bsemantic%2Bweb%2Bmethodologies%2Band%2Btechniques%2Bto%2Bsocial%2Bnetworks%2Band%2Bsocial%2Bwebsites%22 +
Has authorSheila Kinsella +, John G. Breslin +, Alexandre Passant + and Stefan Decker +
Has domainInformation systems +
Has topicTechnical infrastructure +
Peer reviewedYes +
Publication typeJournal article +
Published inReasoning Web +
Research designCase study +
Research questionsIn this paper, we will describe methods thIn this paper, we will describe methods that build on agreed-upon

Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create,

reuse, and link content on social networking sites and social websites.
cial networking sites and social websites.
Revid10,664 +
TheoriesA social network can be viewed as a graph A social network can be viewed as a graph where the nodes represent individuals and the

edges represent relations. Methods from graph theory can be use to study these networks, and we will describe how social network analysis can consume semantic data from the food chain.

It is often found that even though one route is followed to get in contact with a particular person, after talking to them there is another obvious connection that was not previously known about. This is part of the small-world network theory [28], which says that most nodes in a network exhibiting small-world characteristics (such as a social

network) can be reached from every other node by a small number of hops or steps.
r node by a small number of hops or steps.
Theory typeAnalysis + and Explanation +
TitleApplications of semantic web methodologies and techniques to social networks and social websites
Unit of analysisWebsite +
Urlhttp://www.johnbreslin.org/files/publications/20080910_rwss2008.pdf +
Wikipedia coverageCase +
Wikipedia data extractionLive Wikipedia +
Wikipedia languageNot specified +
Wikipedia page typeN/A +
Year2008 +