Determining the Unithood of Word Sequences using Mutual Information and Independence Measure

Most works related to unithood were conducted as part of a larger effort for the determination of termhood. Consequently, the number of independent research that study the notion of unithood and produce dedicated techniques for measuring unithood is extremely small. We propose a new approach, independent of any influences of termhood, that provides dedicated measures to gather linguistic evidence from parsed text and statistical evidence from Google search engine for the measurement of unithood. Our evaluations revealed a precision and recall of 98.68% and 91.82% respectively with an accuracy at 95.42% in measuring the unithood of 1005 test cases.Comment: More information is available at http://explorer.csse.uwa.edu.au/reference

Tapping into the ‘standing-reserve’: a comparative analysis of workers’ training programmes in Kolkata and Toronto

This paper examines employment-related training programmes offered by state funded agencies and multinational corporations in Toronto (Canada) and Kolkata (India). In recent years both cities have witnessed a rise in the service sector industries aligned with global regimes of flexible work and the consequent reinvention of a worker subject that is no longer disciplined according to the needs of industrial production. A worker must now be self-regulated, competitive, flexible, with an ability to convey an urbane, English-speaking deportment within the workplace. Training of employees, especially soft skill training becomes crucial in this connection as a form of technology for achieving this end. Based on Martin Heidegger’s conceptualisation of ‘standing-reserve’, we suggest that what training programmes do in the context of neoliberal capitalist production is the creation of an essential quality of human-ness that has to be harnessed, its potentialities tapped and amplified through training. We further suggest that such programmes often remain heavily influenced by race/class/gender hierarchies as well as stereotypical assumptions of desirable/undesirable bodies, forms of socialisation and modes of habitation that often are naturalised in the course of training

AKTive Food: Semantic Web based knowledge conduits for the Organic Food Industry

We present a vision and a proposal for using Semantic Web technologies in the organic food industry. This is a very knowledge intensive industry at every step from the producer, to the caterer or restauranteur, through to the consumer. There is a crucial need for a concept of environmental audit which would allow the various stake holders to know the full environmental impact of their economic choices. This is a different and parallel form of knowledge to that of price. Semantic Web technologies can be used effectively for the calculation and transfer of this type of knowledge (together with other forms of multimedia data) which could contribute considerably to the commercial and educational impact of the organic food industry. We outline how this could be achieved as our essential objective is to show how advanced technologies could be used to both reduce ecological impact and increase public awareness

Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining

Important data are locked in ancient literature. It would be uneconomic to produce these data again and today or to extract them without the help of text mining technologies. Vespa is a text mining project whose aim is to extract data on pest and crops interactions, to model and predict attacks on crops, and to reduce the use of pesticides. A few attempts proposed an agricultural information access. Another originality of our work is to parse documents with a dependency of the document architecture