Navigating and Annotating Semantically-Enabled Networks of People and Associated Objects

Kinsella, Sheila; Harth, Andreas; Troussov, Alexander; Sogrin, Mikhail; Judge, John; Hayes, Conor; Breslin, John G.

doi:10.1007/978-3-531-91184-7_5

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…Producer/consumer has been addressed in other works, for instance, Polleres et al propose XSPARQL [24] as a standard query language for lifting and lowering between XML and RDF data sources. Finally there are many works that extract, model, manipulate, and analyze social networks in the Semantic Web for specific applications, see for example: Aleman-Meza et al [25], Kinsella et al [26], and Mika [27].…”

Section: Network Data Models and Databasesmentioning

confidence: 99%

Representing, Querying and Transforming Social Networks with RDF/SPARQL

Martín

Gutiérrez

2009

Lecture Notes in Computer Science

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Abstract. As social networks are becoming ubiquitous on the Web, the Semantic Web goals indicate that it is critical to have a standard model allowing exchange, interoperability, transformation, and querying of social network data.In this paper we show that RDF/SPARQL meet this desiderata. Building on developments of social network analysis, graph databases and Semantic Web, we present a social networks data model based on RDF, and a query and transformation language based on SPARQL meeting the above requirements. We study its expressive power and complexity showing that it behaves well, and present an illustrative prototype.

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Section: Network Data Models and Databasesmentioning

confidence: 99%

Representing, Querying and Transforming Social Networks with RDF/SPARQL

Martín

Gutiérrez

2009

Lecture Notes in Computer Science

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“…Alternatively, if there is a particular individual of interest we can extract their ego network, the area of the graph focussed around them. For example, spreading activation algorithms can activate an input node or nodes, and propagate the activation from these in order to locate those individuals which are most strongly connected and therefore receive the most activation [21]. Characterising a social network.…”

Section: Social Network Analysismentioning

confidence: 99%

Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites

et al. 2008

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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 websites. 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.

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“…Posts en un servicio de blogging o fotos en un servicio de fotografía social como Flickr, son ejemplos de objetos sociales. Los objetos sociales son consumidos mediante un mecanismo de pull donde los clientes usan el protocolo HTTP para extraer una representación del objeto social expuesto como un recurso REST semántico [71] y almacenado en el servicio como un pequeño grafo RDF denominado molécula RDF [34]. Capacidad para exponer datos sociales como un flujo social, que puede ser definido como una colección ilimitada de datos sociales con una dimensión temporal y una identidad estable asociadas.…”

Section: Un Servidor Personal De Datos Enlazados Semánticos Para La W...unclassified

APIs semánticas para la web orientada a datos enlazados

Hernández¹

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Navigating and Annotating Semantically-Enabled Networks of People and Associated Objects

Cited by 9 publications

References 9 publications

Representing, Querying and Transforming Social Networks with RDF/SPARQL

Representing, Querying and Transforming Social Networks with RDF/SPARQL

Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites

APIs semánticas para la web orientada a datos enlazados

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