Open Semantic Service Networks: modeling and analysis

A new interesting research area is the representation and analysis of the networked economy using Open Semantic Service Networks (OSSN). OSSN are represented using the service description language USDL to model nodes and using the service relationship model OSSR to model edges. Nonetheless, in their current form USDL and OSSR do not provide constructs to capture the dynamic behavior of service networks. To bridge this gap, we used the General System Theory (GST) as a framework guiding the extension of USDL and OSSR to model dynamic OSSN. We evaluated the extensions made by applying USDL and OSSR to two distinct types of dynamic OSSN analysis: 1) evolutionary by using a Preferential Attachment (PA) and 2) analytical by using concepts from System Dynamics (SD). Results indicate that OSSN can constitute the first stepping stones toward the analysis of global service-based economies

Logical Detection of Invalid SameAs Statements in RDF Data

International audienceIn the last years, thanks to the standardization of Semantic Web technologies, we are experiencing an unprecedented production of data, published online as Linked Data. In this context, when a typed link is instantiated between two different resources referring to the same real world entity, the usage of owl:sameAs is generally predominant. However, recent research discussions within the Linked Data community have shown issues in the use of owl:sameAs. Problems arise both in cases in which sameAs is automatically discovered by a data linking tool erroneously, or when users declare it but meaning something less 'strict' than the semantics defined by OWL. In this work, we discuss further this issue and we present a method for logically detect invalid sameAs statements under specific circumstances. We report our experimental results, performed on OAEI datasets, to prove that the approach can be promising

Introduction to Linked Data and Its Lifecycle on the Web

With linked data, a very pragmatic approach towards achieving the vision of the semantic web has gained some traction in the last years. The term linked data refers to a set of best practices for publishing and interlinking structured data on the web. While many standards, methods and technologies developed within by the semantic web community are applicable for linked data, there are also a number of specific characteristics of linked data, which have to be considered. In this article we introduce the main concepts of linked data. We present an overview of the linked data lifecycle and discuss individual approaches as well as the state-of-the-art with regard to extraction, authoring, linking, enrichment as well as quality of linked data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of linked data. This article is an updated version of a similar lecture given at reasoning web summer school 2011

Introduction to Linked Data and Its Lifecycle on the Web

With linked data, a very pragmatic approach towards achieving the vision of the semantic web has gained some traction in the last years. The term linked data refers to a set of best practices for publishing and interlinking structured data on the web. While many standards, methods and technologies developed within by the semantic web community are applicable for linked data, there are also a number of specific characteristics of linked data, which have to be considered. In this article we introduce the main concepts of linked data. We present an overview of the linked data lifecycle and discuss individual approaches as well as the state-of-the-art with regard to extraction, authoring, linking, enrichment as well as quality of linked data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of linked data. This article is an updated version of a similar lecture given at reasoning web summer school 2011