An algebra and conceptual model for semantic tagging of collaborative digital libraries

Cost-effective semantic description and annotation of shared knowledge resources has always been of great importance for digital libraries and large scale information systems in general. With the emergence of the Social Web and Web 2.0 technologies, a more effective semantic description and annotation, e.g., folksonomies, of digital library contents is envisioned to take place in collaborative and personalised environments. However, there is a lack of foundation and mathematical rigour for coping with contextualised management and retrieval of semantic annotations throughout their evolution as well as diversity in users and user communities. In this paper, we propose an ontological foundation for semantic annotations of digital libraries in terms of flexonomies. The proposed theoretical model relies on a high dimensional space with algebraic operators for contextualised access of semantic tags and annotations. The set of the proposed algebraic operators, however, is an adaptation of the set theoretic operators selection, projection, difference, intersection, union in database theory. To this extent, the proposed model is meant to lay the ontological foundation for a Digital Library 2.0 project in terms of geometric spaces rather than logic (description) based formalisms as a more efficient and scalable solution to the semantic annotation problem in large scale.

The trade specialization of SANE: evidence from manufacturing industries

This paper studies the evolution of the foreign trade specialization in manufacturing sectors of South Africa, Algeria, Nigeria and Egypt. These four countries, the so-called SANE, have recently been viewed as Africa’s best chance of producing an economic bloc whose role for Africa might be comparable to that of the BRIC economies of Brazil, Russia, India and China for the world economy. Using data on trade flows since mid-1970s, the results show that the SANE group has experienced few changes in its trade structure, which is still based on low-technology and slow-growth world demand sectors. The degree of persistence in the specialization model is higher in the case of Algeria and Nigeria, where the dependence on products based on natural resources is stronger.

A model for information retrieval driven by conceptual spaces

A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge Organization Systems (KOSs) are the semantic models that encode the meaning employed for monolingual and cross-language retrieval. The focus of this research is the relationship between these meanings’ representations and their role and potential in augmenting existing retrieval models effectiveness. The proposed approach is unique in explicitly interpreting a semantic reference as a pointer to a concept in the semantic model that activates all its linked neighboring concepts. It is in fact the formalization of the information retrieval model and the integration of knowledge resources from the Linguistic Linked Open Data cloud that is distinctive from other approaches. The preprocessing of the semantic model using Formal Concept Analysis enables the extraction of conceptual spaces (formal contexts)that are based on sub-graphs from the original structure of the semantic model. The types of conceptual spaces built in this case are limited by the KOSs structural relations relevant to retrieval: exact match, broader, narrower, and related. They capture the definitional and relational aspects of the concepts in the semantic model. Also, each formal context is assigned an operational role in the flow of processes of the retrieval system enabling a clear path towards the implementations of monolingual and cross-lingual systems. By following this model’s theoretical description in constructing a retrieval system, evaluation results have shown statistically significant results in both monolingual and bilingual settings when no methods for query expansion were used. The test suite was run on the Cross-Language Evaluation Forum Domain Specific 2004-2006 collection with additional extensions to match the specifics of this model.

You Can't Always Get What You Want: A Gewirthian Model of Rational Autonomy in Abortion

The law regulating the availability of abortion is problematic both legally and morally. It is dogmatic in its requirements of women and doctors and ignorant of would-be fathers. Practically, its usage is liberal - with s1(1)(a) Abortion Act 1967 treated as a ‘catch all’ ground - it allows abortion on demand. Yet this is not reflected in the ‘law’. Against this outdated legislation I propose a model of autonomy which seeks to tether our moral concerns with a new legal approach to abortion. I do so by maintaining that a legal conception of autonomy is derivable from the categorical imperative resulting from Gewirth’s argument to the Principle of Generic Consistency: Act in accordance with the generic rights of your recipients as well as of yourself. This model of Gewirthian Rational Autonomy, I suggest, provides a guide for both public and private notions of autonomy and how our autonomous interests can be balanced across social structures in order to legitimately empower choice. I claim, ultimately, that relevant rights in the context of abortion are derivable from this model.