Neogeography: The Challenge of Channelling Large and Ill-Behaved Data Streams

Neogeography is the combination of user generated data and experiences with mapping technologies. In this article we present a research project to extract valuable structured information with a geographic component from unstructured user generated text in wikis, forums, or SMSes. The extracted information should be integrated together to form a collective knowledge about certain domain. This structured information can be used further to help users from the same domain who want to get information using simple question answering system. The project intends to help workers communities in developing countries to share their knowledge, providing a simple and cheap way to contribute and get benefit using the available communication technology

Ontology modelling methodology for temporal and interdependent applications

The increasing adoption of Semantic Web technology by several classes of applications in recent years, has made ontology engineering a crucial part of application development. Nowadays, the abundant accessibility of interdependent information from multiple resources and representing various fields such as health, transport, and banking etc., further evidence the growing need for utilising ontology for the development of Web applications. While there have been several advances in the adoption of the ontology for application development, less emphasis is being made on the modelling methodologies for representing modern-day application that are characterised by the temporal nature of the data they process, which is captured from multiple sources. Taking into account the benefits of a methodology in the system development, we propose a novel methodology for modelling ontologies representing Context-Aware Temporal and Interdependent Systems (CATIS). CATIS is an ontology development methodology for modelling temporal interdependent applications in order to achieve the desired results when modelling sophisticated applications with temporal and inter dependent attributes to suit today's application requirements

Semantic Retrieval System for Nigerian Onion Domain Ontology

With the recent Nigerian Government’s effort to diversify its economy, several efforts have been put in place by the Government to revitalize Nigerian Agricultural sector as part of the diversification effort. Part of effort put in place to revitalize Agriculture it to encourage local and international investment into Agriculture in the country.  However, due to lack of enough information on the agricultural activities in the country remains a challenge in the revitalization of the country’s agriculture. Although Google and other search engines provide access to data on the Web, these search engines are base on traditional keyword search and therefore lack semantics which affect the effectiveness of the retrieved results.   This paper presents semantic document retrieval of Nigerian Onion domain. The work involves developing Ontology for Nigerian Onion domain. Protégées Ontology editor is then used to store the Ontology and OWL-DL query is used to retrieve the documents semantically.  To measure the effectiveness of the proposed work, precision and recall evaluation metrics were used. Keywords: Ontology, Onion, Information Retrieval, Semantic Retrieval, Domai