Semantic Description, Publication and Discovery of Workflows in myGrid

The bioinformatics scientific process relies on in silico experiments, which are experiments executed in full in a computational environment. Scientists wish to encode the designs of these experiments as workflows because they provide minimal, declarative descriptions of the designs, overcoming many barriers to the sharing and re-use of these designs between scientists and enable the use of the most appropriate services available at any one time. We anticipate that the number of workflows will increase quickly as more scientists begin to make use of existing workflow construction tools to express their experiment designs. Discovery then becomes an increasingly hard problem, as it becomes more difficult for a scientist to identify the workflows relevant to their particular research goals amongst all those on offer. While many approaches exist for the publishing and discovery of services, there have been few attempts to address where and how authors of experimental designs should advertise the availability of their work or how relevant workflows can be discovered with minimal effort from the user. As the users designing and adapting experiments will not necessarily have a computer science background, we also have to consider how publishing and discovery can be achieved in such a way that they are not required to have detailed technical knowledge of workflow scripting languages. Furthermore, we believe they should be able to make use of others' expert knowledge (the semantics) of the given scientific domain. In this paper, we define the issues related to the semantic description, publishing and discovery of workflows, and demonstrate how the architecture created by the myGrid project aids scientists in this process. We give a walk-through of how users can construct, publish, annotate, discover and enact workflows via the user interfaces of the myGrid architecture; we then describe novel middleware protocols, making use of the Semantic Web technologies RDF and OWL to support workflow publishing and discovery

Gendered Synthetic Love: Real Dolls and the Construction of Intimacy

Real Dolls are life-size, anatomically correct figures. Except for their lifelessness, they are made to look and feel like humans. The availability of Real Dolls allows us to examine the social significance of relationships and gender expectations in a new light. In this paper, we are interested in how the Real Dolls are being offered and accepted as alternative partners. Specifically, we examine the relationship between the commodification of the body and the agency individuals have to create intimacy and connection. We conducted an exploratory content analysis of the customer testimonials on the Real Doll website. Results suggest that the Dolls fit into the stereotypical ideal beauty and promote the commodification of bodies. Buyers use these Dolls not just for sexual gratification but are also used for emotional support. The consequences of these attachments are discussed