Semantic Web Technology Stack Research Articles

Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.

To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.

Inductive representations of RDF graphs

RDF forms the basis of the semantic web technology stack. It is based on a directed graph model where nodes and edges are identified by URIs. Occasionally, such graphs contain literals or blank nodes. The existential nature of blank nodes complicates the graph representation.In this paper we propose a purely functional representation of RDF graphs using a special form of inductive graphs called inductive triple graphs. We employ logical variables to represent blank nodes. This approach can be implemented in any functional programming language such as Haskell and Scala.

A taskonomy for the Semantic Web

The modalities of search and browse dominate current thinking about interaction with the Web. Given the Web's origins as a global hypertext system, it is understandable that these document-centric interaction patterns prevail. However, these modalities alone are inadequate as a conceptual model of interaction with the global Linked Data space that is the Semantic Web. Realising the full potential of the Semantic Web requires a fundamental reconsideration of Web interaction patterns in the light of Linked Data, and this renewed conceptualisation must drive the research agenda related to user interaction and the Semantic Web. This paper argues that a fundamental understanding of user goals and tasks is the appropriate perspective from which to approach the research and development of Semantic Web applications. However, the Web in Semantic Web should not detract from the potential for cross-platform data interoperability enabled by the Semantic Web technology stack. In this context we propose a taskonomy of data- and object-centric user tasks derived from an analytical abstraction of existing research, not simply in the fields of Web search and browse but also email and Instant Messaging, that can help shape the direction of research and application development in the Semantic Web field.

Interlinking the Social Web with Semantics

One of the most visible trends on the Web is the emergence of Social Web sites, which help people create and gather knowledge by simplifying user contributions via blogs, tagging and folksonomies, wikis, podcasts, and online social networks. Current online-community sites are isolated from one another, like islands in a sea. Various discussions might contain complementary knowledge and discussions—parts of the answer a person is looking for—but people participating in one discussion can't readily access information about related discussions elsewhere. The potential synergies among many sites, communities, and services are expensive to exploit, and their data are difficult and cumbersome to link and reuse. The main reason for this lack of interoperation is that for the most part in the Social Web, common standards still don't exist for knowledge and information exchange and interoperation. However, the Semantic Web effort aims to provide the tools needed to define extensible, flexible standards for this purpose. The Semantic Web technology stack is well defined, enabling the creation of metadata and associated vocabularies. The Semantic Web effort is in an ideal position to make Social Web sites interoperable. Applying Semantic Web frameworks including SIOC (Semantically Interlinked Online Communities) and FOAF (Friend-of-a-Friend) to the Social Web can lead to a Social Semantic Web, creating a network of interlinked and semantically rich knowledge. This article is part of a special issue called Semantic Web Update.