Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer

Semantic annotation enables the development of efficient computational methods for analyzing and interacting with information, thus maximizing its value. With the already substantial and constantly expanding data generation capacity of the life sciences as well as the concomitant increase in the knowledge distributed in scientific articles, new ways to produce semantic annotations of this information are crucial. While automated techniques certainly facilitate the process, manual annotation remains the gold standard in most domains. In this manuscript, we describe a prototype mass-collaborative semantic annotation system that, by distributing the annotation workload across the broad community of biomedical researchers, may help to produce the volume of meaningful annotations needed by modern biomedical science. We present E.D., the Entity Describer, a mashup of the Connotea social tagging system, an index of semantic web-accessible controlled vocabularies, and a new public RDF database for storing social semantic annotations

Building Information Modelling [BIM] for energy efficiency in housing refurbishments

Building Information modelling offers potential process and delivery improvements throughout the lifecycle of built assets. However, there is limited research in the use of BIM for energy efficiency in housing refurbishments. The UK has over 300,000 solid wall homes with very poor energy efficiency. A BIM based solution for the retrofit of solid wall housing using lean and collaborative improvement techniques will offer a cost effective, comprehensive solution that is less disruptive, reduces waste and increases accuracy, leading to high quality outcomes. The aim of this research is to develop a BIM based protocol supporting development of 'what if' scenarios in housing retrofits for high efficiency thermal improvements, aiming to reduce costs and disruption for users. The paper presents a literature review on the topic and discusses the research method for the research project (S-IMPLER)

An Ontological-based Model for Competences in Sustainable Development Projects: a Case Study for Project’s Commercial Activities

The paper presents a project management competencies model, using an ontological approach. The ontology, named PMCatalog, was developed in the framework of the project CONTO, financed by Romanian through the grant 91-037/2007. PMCatalog is consistent with the competence definition and PM competence elements included in the International Competence Baseline, the competency standard of the International Project Management Association. The main PMCatalog’s use cases for commercial activities in sustainable development projects are described. Ontology was developed using the Protégé editor.competence, project management, sustainable development, commercial activities

Connecting the dots: information visualization and text analysis of the Searchlight Project newsletters

This report is the product of the Pardee Center’s work on the Searchlight:Visualization and Analysis of Trend Data project sponsored by the Rockefeller Foundation. Part of a larger effort to analyze and disseminate on-the-ground information about important societal trends as reported in a large number of regional newsletters developed in Asia, Africa and the Americas specifically for the Foundation, the Pardee Center developed sophisticated methods to systematically review, categorize, analyze, visualize, and draw conclusions from the information in the newsletters.The Rockefeller Foundatio

Artificial Intelligence And Big Data Technologies To Close The Achievement Gap.

We observe achievement gaps even in rich western countries, such as the UK, which in principle have the resources as well as the social and technical infrastructure to provide a better deal for all learners. The reasons for such gaps are complex and include the social and material poverty of some learners with their resulting other deficits, as well as failure by government to allocate sufficient resources to remedy the situation. On the supply side of the equation, a single teacher or university lecturer, even helped by a classroom assistant or tutorial assistant, cannot give each learner the kind of one-to-one attention that would really help to boost both their motivation and their attainment in ways that might mitigate the achievement gap. In this chapter Benedict du Boulay, Alexandra Poulovassilis, Wayne Holmes, and Manolis Mavrikis argue that we now have the technologies to assist both educators and learners, most commonly in science, technology, engineering and mathematics subjects (STEM), at least some of the time. We present case studies from the fields of Artificial Intelligence in Education (AIED) and Big Data. We look at how they can be used to provide personalised support for students and demonstrate that they are not designed to replace the teacher. In addition, we also describe tools for teachers to increase their awareness and, ultimately, free up time for them to provide nuanced, individualised support even in large cohorts

Concept, Principles and Research Methods of African Environmental Ethics

[English] This paper aims to discuss ten traditional and contemporary methodological paradigms in African philosophy, and demonstrates how they may apply to African environmental ethics research. The methods include: Ethno-philosophy, Sage Philosophy, Conversational Philosophy, Conceptual Mandelanization, Eco-Afrocentricism, Indigenous Language Analysis, Eco-Afro-feminism, Conceptual Decolonization, Storytelling Philosophy, and Cultural Adaptationism. The significance and limitations of the methodologies are highlighted. The concept and principles of African environmental ethics are analyzed and discussed to facilitate an understanding of the conceptual frameworks that underpin the methodologies. In conclusion, the discourse demonstrates that environmental ethics research in Africa should be based on African philosophical methodologies so as to facilitate production of research that will be relevant in African contexts. [Annang] N̄wed nduongo ami ayem ibene nwọ́d mme n̄kaan nne mfa usung unam nduongo ke vilọsọvi Afrịke , nne nte amọ ekeme iwam unam nduongo mbanga ido ukpeme nkan-nkuk ke Afrịke. Mme usung unam nduongo ami nsehe ade ami: vilọsọvi mben ufọk, vilọsọvi n̄kan ideen, vilọsọvi nneme, vilọsọvi Mandela, “Eco-Afrocentricism”, nduongore usem utiit ajid, vilọsọvi ibaan Afrịke, vilọsọvi mkpọk-nyak, vilọsọvi n̄ke, nne ukpep ido idung agwo. N̄wed ami abene awọd mme ikek nne nde mem idem usung nduongo ami. N̄wed ami atang mkpọ abanga se ido ukpeme nkan-nkuk ke Afrịke anwongo nne mme itai amọ, nne nte amọ ewam mbon nduongo ediọhọ nnanga ekpekakpa ibọrọ nduongo amọ. Ke n̄suuk ikọ, ukpep ami mkpọ abene awọd ate ke ekpena ekama usung nduongo vilọsọvi Afrịke enam nduongo ebanga ido ukpeme nkan-nkuk ke Afrịke man ibọrọ nduongo asanga akekem nne se adiiwam Afrịke

Business Ontology for Evaluating Corporate Social Responsibility

This paper presents a software solution that is developed to automatically classify companies by taking into account their level of social responsibility. The application is based on ontologies and on intelligent agents. In order to obtain the data needed to evaluate companies, we developed a web crawling module that analyzes the company’s website and the documents that are available online such as social responsibility report, mission statement, employment structure, etc. Based on a predefined CSR ontology, the web crawling module extracts the terms that are linked to corporate social responsibility. By taking into account the extracted qualitative data, an intelligent agent, previously trained on a set of companies, computes the qualitative values, which are then included in the classification model based on neural networks. The proposed ontology takes into consideration the guidelines proposed by the “ISO 26000 Standard for Social Responsibility”. Having this model, and being aware of the positive relationship between Corporate Social Responsibility and financial performance, an overall perspective on each company’s activity can be configured, this being useful not only to the company’s creditors, auditors, stockholders, but also to its consumers.corporate social responsibility, ISO 26000 Standard for Social Responsibility, ontology, web crawling, intelligent agent, corporate performance, POS tagging, opinion mining, sentiment analysis