A survey on the development status and application prospects of knowledge graph in smart grids

With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between concepts and entities in the objective world, which is widely concerned because of its robust knowledge inference ability. Especially with the proliferation of measurement devices and exponential growth of electric power data empowers, electric power knowledge graph provides new opportunities to solve the contradictions between the massive power resources and the continuously increasing demands for intelligent applications. In an attempt to fulfil the potential of knowledge graph and deal with the various challenges faced, as well as to obtain insights to achieve business applications of smart grids, this work first presents a holistic study of knowledge-driven intelligent application integration. Specifically, a detailed overview of electric power knowledge mining is provided. Then, the overview of the knowledge graph in smart grids is introduced. Moreover, the architecture of the big knowledge graph platform for smart grids and critical technologies are described. Furthermore, this paper comprehensively elaborates on the application prospects leveraged by knowledge graph oriented to smart grids, power consumer service, decision-making in dispatching, and operation and maintenance of power equipment. Finally, issues and challenges are summarised.Comment: IET Generation, Transmission & Distributio

Effective Instance Matching for Heterogeneous Structured Data

One main problem towards the effective usage of structured data is instance matching, where the goal is to find instance representations referring to the same real-world thing. In this book we investigate how to effectively match Heterogeneous structured data. We evaluate our approaches against the latest baselines. The results show advances beyond the state-of-the-art

Network Neutrality: A Research Guide

The conclusion in a research handbook should emphasise the complexity of the problem than trying to claim a one-size-fits-all solution. I have categorised net neutrality into positive and negative (content discrimination) net neutrality indicating the latter as potentially harmful. Blocking content without informing customers appropriately is wrong: if it says ‘Internet service’, it should offer an open Internet (alongside walled gardens if that is expressly advertised as such). The issue of uncontrolled Internet flows versus engineered solutions is central to the question of a ‘free’ versus regulated Internet. A consumer- and citizen-orientated intervention depends on passing regulations to prevent unregulated nontransparent controls exerted over traffic via DPI equipment, whether imposed by ISPs for financial advantage or by governments eager to use this new technology to filter, censor and enforce copyright against their citizens. Unraveling the previous ISP limited liability regime risks removing the efficiency of that approach in permitting the free flow of information for economic and social advantage. These conclusions support a light-touch regulatory regime involving reporting requirements and co-regulation with, as far as is possible, market-based solutions. Solutions may be international as well as local, and international coordination of best practice and knowledge will enable national regulators to keep up with the technology ‘arms race’

An ontology matching approach for semantic modeling: A case study in smart cities

This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching-based Instances (COMI) and Pattern mining for Ontology Matching-based Instances (POMI). The goal is to discover the relevant knowledge by investigating the correlations among smart city data based on clustering and pattern mining approaches. The COMI method first groups the highly correlated ontologies of smart-city data into similar clusters using the generic k-means algorithm. The key idea of this method is that it clusters the instances of each ontology and then matches two ontologies by matching their clusters and the corresponding instances within the clusters. The POMI method studies the correlations among the data properties and selects the most relevant properties for the ontology matching process. To demonstrate the usefulness and accuracy of the COMI and POMI frameworks, several experiments on the DBpedia, Ontology Alignment Evaluation Initiative, and NOAA ontology databases were conducted. The results show that COMI and POMI outperform the state-of-the-art ontology matching models regarding computational cost without losing the quality during the matching process. Furthermore, these results confirm the ability of COMI and POMI to deal with heterogeneous large-scale data in smart-city environments.publishedVersio

Who Runs the Internet?

There is no single answer to the question of who runs the Internet. Is it the United States, often seen as the hegemon of the Internet, home to so many of the world’s leading Internet enterprises? Is it China, which erects a “Great Firewall” to assert control over the portion of the Internet available in China? Is it the European Union, which extends its power globally through its data protection regime, designating countries as “adequate” or (implicitly) “inadequate” to receive its data? Is it ICANN, the California not-for-profit organization that controls how Internet addresses are allocated? Is it the World Wide Web Consortium, which develops standards for the web’s communication’s protocols? Is it the United Nations, which periodically asserts pressure through organs like the International Telecommunications Union or through international meetings? Is it the World Trade Organization, which regulates the barriers that governments erect against international trade? Is it telecommunications providers such as AT&T and Comcast on whose wires and beams information flows? Is it Facebook, which recently connected a billion people in one day? Is it Google, where the world often begins its search for information? In reality, all of the above, and many more, can claim a share of Internet governance. This chapter will set out an overview of how the Internet is currently governed, as well as some of the key controversies in both the procedure and substance of Internet governance

EmergenSIG: an integrated location-based system for emergency management

Several solutions have been proposed for emergencies scenarios. These solutions include real-time data communication, location-aware, coordination, and decision-making support systems. In this context, this dissertation presents a location-awareness system fully oriented to emergency scenarios, called EmergenSIG. This approach provides and gathers important field information from an occurrence (emergency situation) and shares it to all the different agents. They include police, firefighters, medical emergency teams, among others, mobilized to the same operations theater (OT). Therefore, allowing a faster and integrated response to all the involved agents, enhancing the emergency management of the occurrence. The core of this proposal is based on a low cost solution oriented to the agents on the field (EmergenSIG mobile application), which interacts with the EmergenSIG Web application, oriented to the civil protection entities, through REST Web services. EmergenSIG focuses on medical emergencies and wildfires. It was evaluated and demonstrated in different mobile devices considering different screen sizes following a usercentered design. The system was also been evaluated and validated by real entities and civil protection agents on simulated emergency scenarios.Várias soluções têm sido propostas para cenários de emergências médicas . Estas soluções incluem comunicações de dados em tempo real ,sensíveis á localização , coordenação e sistemas de apoio à tomada de decisão. Neste contexto, esta dissertação apresenta um sistema sensível à localização totalmente orientada para cenários de emergência, chamada EmergenSIG. Esta abordagem proporciona e reúne importantes informações de uma ocorrência (situação de emergência) compartilhando-a para todos os diferentes agentes. Nos quais se incluem a polícia, bombeiros, equipas de emergência médica, entre outros, que se mobilizaram para o mesmo teatro de operações (TO). Portanto, permite uma resposta mais rápida e integrada para todos os agentes envolvidos, aumentando a eficácia da gestão da emergência de uma ocorrência. O cerne desta proposta é baseada numa solução de baixo custo direcionada para os agentes no terreno (aplicação móvel EmergenSIG), que interage com o aplicativo Web EmergenSIG, orientada para as entidades da proteção civil, através de serviços Web REST. O EmergenSIG centra-se em emergências médicas e incêndios florestais. Foi avaliada e demonstrada em diferentes dispositivos móveis, considerando diferentes tamanhos de ecrã e seguindo um design centrado no utilizador. O sistema também foi avaliado e validado por entidades reais e agentes da proteção civil em cenários de emergência simulados