Towards Normalizing the Edit Distance Using a Genetic Algorithms Based Scheme

The normalized edit distance is one of the distances derived from the edit distance. It is useful in some applications because it takes into account the lengths of the two strings compared. The normalized edit distance is not defined in terms of edit operations but rather in terms of the edit path. In this paper we propose a new derivative of the edit distance that also takes into consideration the lengths of the two strings, but the new distance is related directly to the edit distance. The particularity of the new distance is that it uses the genetic algorithms to set the values of the parameters it uses. We conduct experiments to test the new distance and we obtain promising results.Comment: The 8th International Conference on Advanced Data Mining and Applications (ADMA 2012

Semantics for incident identification and resolution reports

In order to achieve a safe and systematic treatment of security protocols, organizations release a number of technical briefings describing how to detect and manage security incidents. A critical issue is that this document set may suffer from semantic deficiencies, mainly due to ambiguity or different granularity levels of description and analysis. An approach to face this problem is the use of semantic methodologies in order to provide better Knowledge Externalization from incident protocols management. In this article, we propose a method based on semantic techniques for both, analyzing and specifying (meta)security requirements on protocols used for solving security incidents. This would allow specialist getting better documentation on their intangible knowledge about them.Ministerio de Economía y Competitividad TIN2013-41086-

Rural Sense: Value, Heritage, and Sensory Landscapes: Developing a Design-oriented Approach to Mapping for Healthier Landscapes

Landscape design needs a novel value system centred on human experience of the landscape rather than simply on economic value. Design-oriented research allows us to shift the focus from mechanistic paradigms towards new sense-making approaches that value both the sensual and the cognitive in human experience. To move in this direction, we investigate cultural and natural aspects of sensory experience in rural landscapes, arguing that: (1) rural (non-urban) regions offer diverse sensory experiences for optimising human health; and (2) spatial interconnectedness between rural and urban areas means that healthy rural regions are critical for urban development. Our key argument is that many rural landscapes contain intrinsically valuable traditional practices that create multisensory experiences with untapped benefits for human wellbeing, particularly in the auditory and olfactory realms, and thus a mapping system that accounts for sensory experience is required

Rural Sense: Value, Heritage, and Sensory Landscapes: Developing a Design-oriented Approach to Mapping for Healthier Landscapes

Landscape design needs a novel value system centred on human experience of the landscape rather than simply on economic value. Design-oriented research allows us to shift the focus from mechanistic paradigms towards new sensemaking approaches that value both the sensual and the cognitive in human experience. To move in this direction, we investigate cultural and natural aspects of sensory experience in rural landscapes, arguing that: (1) rural (non-urban) regions offer diverse sensory experiences for optimising human health; and (2) spatial interconnectedness between rural and urban areas means that healthy rural regions are critical for urban development. Our key argument is that many rural landscapes contain intrinsically valuable traditional practices that create multisensory experiences with untapped benefits for human well-being, particularly in the auditory and olfactory realms, and thus a mapping system that accounts for sensory experience is required

Development and Semantic Exploitation of a Relational Data Model for Service Delivery in South African Municipalities

Relational databases (RDB) are the main sources of structured data for government institutions and businesses. Since these databases are dependent on autonomous hardware and software they create problems of data integration and interoperability. Solutions have been proposed to convert RDB into ontology to enable their sharing, reuse and integration on the Semantic Web. However, the proposed methods and techniques remain highly technical and there is lack of research that focuses on the empirical application of these methods and techniques in information systems (IS) domains. This study develops and semantically exploits a relational data model of the South African Municipalities Information Systems for Service Delivery. A combination of qualitative and quantitative methods is used. The qualitative part of the research is carried out with a literature review and online search for relevant resources, whereas, the quantitative analysis was done with experiments. The research provides a case study of the empirical application of semantic web technologies for converting RDB into ontology in IS