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

Framework for collaborative knowledge management in organizations

Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value products and services. The capability to agilely respond to new market demands became a strategic pillar for innovation, and knowledge management could support organizations to achieve that goal. However, current knowledge management approaches tend to be over complex or too academic, with interfaces difficult to manage, even more if cooperative handling is required. Nevertheless, in an ideal framework, both tacit and explicit knowledge management should be addressed to achieve knowledge handling with precise and semantically meaningful definitions. Moreover, with the increase of Internet usage, the amount of available information explodes. It leads to the observed progress in the creation of mechanisms to retrieve useful knowledge from the huge existent amount of information sources. However, a same knowledge representation of a thing could mean differently to different people and applications. Contributing towards this direction, this thesis proposes a framework capable of gathering the knowledge held by domain experts and domain sources through a knowledge management system and transform it into explicit ontologies. This enables to build tools with advanced reasoning capacities with the aim to support enterprises decision-making processes. The author also intends to address the problem of knowledge transference within an among organizations. This will be done through a module (part of the proposed framework) for domain’s lexicon establishment which purpose is to represent and unify the understanding of the domain’s used semantic

New Concepts for Virtual Testbeds : Data Mining Algorithms for Blackbox Optimization based on Wait-Free Concurrency and Generative Simulation

Virtual testbeds have emerged as a key technology for improving and streamlining complex engineering processes by delivering long-term simulation and assessment of complex designs in virtual environments. In contrast to existing simulation technology, virtual testbeds focus on long-term physically-based simulation of the overall design in its (virtual) environment instead of only focussing on isolated, specific parts for short periods of time. This technology has the major advantage that costly testing, prototyping, and assessment in real-life environments are replaced by a cost-efficient simulation in virtual worlds for comprehensive and long-term analysis of designs. For this purpose, engineering models and their requirements are abstracted into software simulation models and objectives which are executed in virtual assessments. Simulation models are used to predict complex, real systems which can be further a subject to random influences. These predictions are used to examine the effects of individual configuration alternatives without actually realizing them and causing possible negative effects on the real system. Virtual testbeds further offer engineers the opportunity to immersively and naturally interact with their simulation model in these virtual assessments. This enables a greater and comprehensive understanding of possible design flaws early-on in the design process for engineers because they can directly assess their design in the virtual environment, based on the simulation objectives. The fact that virtual testbeds enable these realtime interactive virtual assessments, makes their underlying software infrastructure very complex. One major challenge is to minimize the development time of virtual testbeds in order to efficiently integrate them into the overall engineering process. Usually, this can be achieved by minimizing the underlying concurrency of the testbed and by simplifying its software architecture. However, this may result in a degradation of their very concurrent and asynchronous behavior, which is usually required for immersive and natural virtual interaction. A major goal of virtual testbeds in the engineering process is to find a set of optimal configurations of the simulation model which maximizes all simulation objectives for the specified virtual assessments. Once such a set has been computed, engineers can interactively explore it in the virtual environment. The main challenge is that sophisticated simulation models and their configuration are subject to a multiobjective optimization problem, which usually can not be solved manually by engineers or simulation analysts in feasible time. This is further aggravated because the relationships between simulation model configurations and simulation objectives are mostly unknown, leading to what is known as blackbox simulations. In this thesis, I propose novel data mining algorithms for computing Pareto optimal simulation model configurations, based on an approximation of the feasible design space, for deterministic and stochastic blackbox simulations in virtual testbeds for achieving above stated goal. These novel data mining algorithms lead to an automatic knowledge discovery process that does not need any supervision for its data analysis and assessment for multiobjective optimization problems of simulation model configurations. This achieves the previously stated goal of computing optimal configurations of simulation models for long-term simulations and assessments. Furthermore, I propose two complementary solutions for efficiently integrating massively-parallel virtual testbeds into engineering processes. First, I propose a novel multiversion wait-free data and concurrency management based on hash maps. These wait-free hash maps do not require any standard locking mechanisms and enable low-latency data generation, management and distribution for massively-parallel applications. Second, I propose novel concepts for efficiently code generating above wait-free data and concurrency management for arbitrary massively-parallel simulation applications of virtual testbeds. My generative simulation concept combines a state-of-the-art realtime interactive system design pattern for high maintainability with template code generation based on domain specific modelling. This concept is able to generate massively-parallel simulations and, at the same time, model checks its internal dataflow for possible interface errors. These generative concept overcomes the challenge of efficiently integrating virtual testbeds into engineering processes. These contributions enable for the first time a powerful collaboration between simulation, optimization, visualization and data analysis for novel virtual testbed applications but also overcome and achieve the presented challenges and goals

Combination of web usage, content and structure information for diverse web mining applications in the tourism context and the context of users with disabilities

188 p.This PhD focuses on the application of machine learning techniques for behaviourmodelling in different types of websites. Using data mining techniques two aspects whichare problematic and difficult to solve have been addressed: getting the system todynamically adapt to possible changes of user preferences, and to try to extract theinformation necessary to ensure the adaptation in a transparent manner for the users,without infringing on their privacy. The work in question combines information of differentnature such as usage information, content information and website structure and usesappropriate web mining techniques to extract as much knowledge as possible from thewebsites. The extracted knowledge is used for different purposes such as adaptingwebsites to the users through proposals of interesting links, so that the users can get therelevant information more easily and comfortably; for discovering interests or needs ofusers accessing the website and to inform the service providers about it; or detectingproblems during navigation.Systems have been successfully generated for two completely different fields: thefield of tourism, working with the website of bidasoa turismo (www.bidasoaturismo.com)and, the field of disabled people, working with discapnet website (www.discapnet.com)from ONCE/Tecnosite foundation

Computing Competencies for Undergraduate Data Science Curricula: ACM Data Science Task Force

At the August 2017 ACM Education Council meeting, a task force was formed to explore a process to add to the broad, interdisciplinary conversation on data science, with an articulation of the role of computing discipline-specific contributions to this emerging field. Specifically, the task force would seek to define what the computing/computational contributions are to this new field, and provide guidance on computing-specific competencies in data science for departments offering such programs of study at the undergraduate level. There are many stakeholders in the discussion of data science – these include colleges and universities that (hope to) offer data science programs, employers who hope to hire a workforce with knowledge and experience in data science, as well as individuals and professional societies representing the fields of computing, statistics, machine learning, computational biology, computational social sciences, digital humanities, and others. There is a shared desire to form a broad interdisciplinary definition of data science and to develop curriculum guidance for degree programs in data science. This volume builds upon the important work of other groups who have published guidelines for data science education. There is a need to acknowledge the definition and description of the individual contributions to this interdisciplinary field. For instance, those interested in the business context for these concepts generally use the term “analytics”; in some cases, the abbreviation DSA appears, meaning Data Science and Analytics. This volume is the third draft articulation of computing-focused competencies for data science. It recognizes the inherent interdisciplinarity of data science and situates computing-specific competencies within the broader interdisciplinary space

Text Similarity Between Concepts Extracted from Source Code and Documentation

Context: Constant evolution in software systems often results in its documentation losing sync with the content of the source code. The traceability research field has often helped in the past with the aim to recover links between code and documentation, when the two fell out of sync. Objective: The aim of this paper is to compare the concepts contained within the source code of a system with those extracted from its documentation, in order to detect how similar these two sets are. If vastly different, the difference between the two sets might indicate a considerable ageing of the documentation, and a need to update it. Methods: In this paper we reduce the source code of 50 software systems to a set of key terms, each containing the concepts of one of the systems sampled. At the same time, we reduce the documentation of each system to another set of key terms. We then use four different approaches for set comparison to detect how the sets are similar. Results: Using the well known Jaccard index as the benchmark for the comparisons, we have discovered that the cosine distance has excellent comparative powers, and depending on the pre-training of the machine learning model. In particular, the SpaCy and the FastText embeddings offer up to 80% and 90% similarity scores. Conclusion: For most of the sampled systems, the source code and the documentation tend to contain very similar concepts. Given the accuracy for one pre-trained model (e.g., FastText), it becomes also evident that a few systems show a measurable drift between the concepts contained in the documentation and in the source code.</p

Spatial ontologies for architectural heritage

Informatics and artificial intelligence have generated new requirements for digital archiving, information, and documentation. Semantic interoperability has become fundamental for the management and sharing of information. The constraints to data interpretation enable both database interoperability, for data and schemas sharing and reuse, and information retrieval in large datasets. Another challenging issue is the exploitation of automated reasoning possibilities. The solution is the use of domain ontologies as a reference for data modelling in information systems. The architectural heritage (AH) domain is considered in this thesis. The documentation in this field, particularly complex and multifaceted, is well-known to be critical for the preservation, knowledge, and promotion of the monuments. For these reasons, digital inventories, also exploiting standards and new semantic technologies, are developed by international organisations (Getty Institute, ONU, European Union). Geometric and geographic information is essential part of a monument. It is composed by a number of aspects (spatial, topological, and mereological relations; accuracy; multi-scale representation; time; etc.). Currently, geomatics permits the obtaining of very accurate and dense 3D models (possibly enriched with textures) and derived products, in both raster and vector format. Many standards were published for the geographic field or in the cultural heritage domain. However, the first ones are limited in the foreseen representation scales (the maximum is achieved by OGC CityGML), and the semantic values do not consider the full semantic richness of AH. The second ones (especially the core ontology CIDOC – CRM, the Conceptual Reference Model of the Documentation Commettee of the International Council of Museums) were employed to document museums’ objects. Even if it was recently extended to standing buildings and a spatial extension was included, the integration of complex 3D models has not yet been achieved. In this thesis, the aspects (especially spatial issues) to consider in the documentation of monuments are analysed. In the light of them, the OGC CityGML is extended for the management of AH complexity. An approach ‘from the landscape to the detail’ is used, for considering the monument in a wider system, which is essential for analysis and reasoning about such complex objects. An implementation test is conducted on a case study, preferring open source applications

Livelihoods and natural resource management dynamics in fast track land resettlements, Kwekwe District, Zimbabwe.

M. Sc. Agric. University of KwaZulu-Natal, Pietermaritzburg 2014.The purpose of this investigation was to evaluate an Agricultural community and its system of Natural Resource Management (NRM) in the post–Fast Track Land Reform Program (FTLRP) era in Zimbabwe. The study contributes to understanding issues facing Agricultural Community Based Natural Resource Management (CBNRM) set ups in two resettlement models. The aim was to establish the influence that the FTLRP had on emergent practice and use of the natural resource base. The main task was to explore the patterns of natural resource use within the dynamics of culture, vulnerability and governance issues. The researcher deliberately enriched the case study with interviews, questionnaires, focus group discussions and participatory observations to promote triangulation (confirmation) of results. The field work for the study was carried out in Kwekwe District in the Midlands Province of Zimbabwe. The main part of the district falls in Agro ecological zone III and the smaller part in zone IV. Agro ecological zone III is a semi-intensive farming area prone to sporadic seasonal droughts, long-lasting, mid-season dry spells and the unpredictable onset of the rainy season. Agro ecological zone IV is subject to drought and dry spells in summer, rendering the area unsuitable for arable farming but favourable for semi-extensive beef production. The study specifically targeted FTLRP beneficiaries. The results showed that in terms of impacts on NRM, the exploitation of natural resources for survival has become normal practice. This is a shift from the previous farming practice and NRM of the agrarian space before FTLRP as well as a shift from the indigenous knowledge system of NRM found in traditional communal settlements prior to FTLRP. The background of farmers had notable effects on the current farming practices. Governance of NRM was in conflict with farmers’ needs, the harsh economic climate, dwindling NRM institutions and erosion of the authority of traditional community leaders

A diversity-aware computational framework for systems biology

L'abstract è presente nell'allegato / the abstract is in the attachmen

Forest, Livelihoods and REDD+ implementation in the Yasuni Biosphere Reserve, Ecuador

Wälder sind lebenswichtige Nahrungs- und Einkommensquellen für ländliche Haushalte und dienen als Reserven in Krisenzeiten. Deshalb können Abholzung und Walddegradierung die Lebensbedingungen der waldabhängigen Gemeinschaften gefährden. Darüber hinaus ist Abholzung die zweitgrößte Ursache für Treibhausgasemissionen, Biodiversitätsverlust und Klimawandel. Der ländliche Raum bedarf einer besonderen Aufmerksamkeit, da er sehr anfällig für die Auswirkungen des Klimawandels ist. In diesem Zusammenhang ist REDD+ als eine günstige Alternative zur Verringerung des Klimawandels und zur Förderung einer nachhaltigen Entwicklung aus dem Rahmenübereinkommen der Vereinten Nationen über Klimaänderungen (englisch United Nations Framework Convention on Climate Change, UNFCCC) hervorgegangen. Allerdings sind die potenziellen positiven und negativen Auswirkungen von REDD+ noch relativ unbekannt. Das gilt ins besondere für indigene Völker und andere vom Wald abhängige Bevölkerungsgruppen in tropischen Regenwäldern. Die hier vorgestellte Forschung ist eine mehrschichtige Studie, die dazu beiträgt, mögliche Alternativen der REDD+ Implementierung aus einer Bottom-up-Perspektive zu erklären. Als Fallstudie wurde die Yasuní-Region im gleichnamigen ecuadorianischen Biosphärenreservat ausgewählt. Die Region ist Teil eines größeren REDD+ Projektes der Deutschen NRO Welthungerhilfe. Hier wurden die drei am weitesten verbreiteten ethnischen Gruppen ausgewählt, die in der Pufferzone des Yasuní-Nationalparks leben. Zwei Gemeinden von jeder Ethnie mit jeweils unterschiedlichen Entfernungen zu den Märkten wurden als Studiengruppen ausgewählt. Hierbei handelt sie sich um die indigenen Gruppen der Shuar und Kichwa sowie die Gruppe der Kolonisten (Mestizen). Der Mehrskalenansatz umfasst die Haushaltsebene, die Gemeindeebene sowie die regionale Landschaftsebene. Auf der Haushaltsebene wird eine Analyse der Einkommensgenerierung, die sich aus der Subsistenzwirtschaft und der Barmitteleinnahme zusammensetzt, vorgestellt. Zusammenfassend lässt sich feststellen, dass die Mehrheit der untersuchten Haushalte hohe Einnahmen von Ölfirmen erhalten, denen sie als ungelernte nicht-landwirtschaftliche Arbeitskräfte zur Verfügung stehen. Darüber hinaus bezieht ein Großteil der Haushalte staatliche Unterstützungen. Die Studie zeigt, dass die indigenen Völker trotzt der vergleichsweise hohen Einkünfte aus ihrer Arbeit im Ölsektor und externer Hilfen eine größere Abhängigkeit von Wald- und Umweltressourcen als die Kolonisten haben. Dieses hohe nicht-landwirtschaftliche Einkommen könnte - zumindest zeitweise - den Druck auf die Wälder reduzieren. Vor diesem Hintergrund ist REDD+ ein relativ schwacher finanzieller Anreiz für die untersuchten Haushalte. Dies gilt umso mehr, wenn man das Engagement in mehrjährigen REDD+ Projekten wie Wiederaufforstung, Waldüberwachung usw. betrachtet. Auf Gemeindeebene werden die Landkonfiguration und der institutionelle Rahmen für die Entscheidungsfindung gemeinsamer Ressourcen analysiert. In dieser Studie werden zwei Formen kommunaler Vereinbarungen vorgestellt: Common Property Management Regimes (CPMRs) und Kolonisten-Kooperativen. Als konzeptioneller Rahmen wird der theoretische Ansatz von Ostrom (1990) zur Governance of Common Pool Resources (CPR) verwendet. Die Ergebnisse deuten darauf hin, dass sich immer mehr indigene Landkonfigurationen denen der Mestizen angleichen. Hinterlassenschaften aus Agrarreformen und geltende rechtliche Rahmenbedingungen fördern die Privatisierung der bäuerlichen Betriebe in den Gemeindeländern und damit die Waldzersplitterung. Dieses wiederrum beeinflusst die traditionelle Ressourcennutzung. Auf Landschaftsebene werden eine historische und territoriale Konfiguration sowie Managementpläne für das Biosphärenreservat Yasuní vorgestellt. Darüber hinaus werden rechtliche Rahmenbedingungen für REDD+, Konsultations- und Beteiligungsmechanismen diskutiert. Ergebnisse der Datenanalyse zeigen, dass unsichere Landadministration sowie Titelrechte die REDD+-Implementierung behindern können. Des Weiteren kommt es zu einer Überlappung von indigenem Land mit Erdölblöcken und Naturschutzgebieten, wodurch es zu potentiellen Konflikten kommen kann. Darüber hinaus verringern inkonsistente Managementplänen und rechtliche Rahmenbedingungen die effektive Beteiligung und Entscheidungsfindung von indigenen Völkern und Kleinbauern. Schlussfolgerung der Analyse ist, dass es einer breiten und eingebetteten Landschaftsplanung der Yasuní Region bedarf. Das Livelihood Framework Konzept wurde häufig angewandt, um die Haushaltsbedingungen und Verwendungsmuster von Umweltressourcen zu untersuchen. Diese Prägungen können Entwaldung, Erhaltung oder Abbauprozesse vorhersagen und beeinflussen. Erkenntnisse, wie die hier vorgestellten, verdeutlichen jedoch die Notwendigkeit von Bottom-up-Perspektiven vor der Umsetzung globaler Klimaschutzmechanismen wie REDD+. In praktischer Hinsicht liefern die Studienergebnisse Einblicke zur Konzeption von REDD+ Ansätzen für Projektentwickler und Entscheidungsträger. Die partizipative und intensive Beteiligung der lokalen Gemeinden an der Waldnutzung ist der einzige Weg, um die Erhaltung und nachhaltige Entwicklung der tropischen Wälder zu gewährleisten. Darüber hinaus sollten die ethnische Diversität sowie die traditionelle Ressourcennutzung aufrecht erhalten und gefördert werden.Los bosques representan fuentes vitales de alimentos e ingresos para los hogares rurales, en especial durante períodos de crisis. Por lo tanto, la deforestación y la degradación forestal pueden poner en peligro los medios de subsistencia de las comunidades que dependen de los bosques. Además, la deforestación es la segunda causa más importante de emisiones de Gases Efecto Invernadero (GEI) y desencadena la pérdida de biodiversidad y el cambio climático. Los medios de subsistencia rurales necesitan una atención especial, ya que son altamente vulnerables a los efectos del cambio climático. En este contexto, REDD+ ha surgido en la mesa de negociación de la Convención marco de las Naciones Unidas para el Cambio Climático (CMNUCC) como una opción asequible para mitigar el cambio climático y, al mismo tiempo, para promover el desarrollo sostenible. Sin embargo, se necesita una mejor comprensión de los potenciales impactos positivos y negativos de la implementación de REDD+. Esto último, es especialmente importante en el caso de los Pueblos Indígenas (IP) y los campesinos dependientes de los bosques tropicales. La investigación presentada es un estudio a varios niveles que contribuye a elucidar las posibles implicaciones de la implementación de REDD+ desde una perspectiva de local hasta internacional. La región de la Reserva de la Biosfera del Yasuní en Ecuador fue seleccionada como estudio de caso. La región es parte de un proyecto REDD+ realizado por la ONG alemana Welthungerhilfe. Aquí se eligieron los tres grupos étnicos más representativos que habitan en la zona de amortiguamiento del Parque Nacional Yasuní. Se seleccionaron como grupos de estudio dos comunidades de cada etnia, los grupos indígenas Shuar y Kichwa y los colonos (mestizos), con diferentes distancias a los mercados. El enfoque multiescalar comienza en el nivel del hogar, luego sube a la comunidad y al final al nivel del paisaje regional. A nivel de hogar, se presenta un análisis de la generación de ingresos a partir de fuentes de subsistencia y dinero en efectivo. En resumen, todas las comunidades estudiadas generan altos ingresos fuera de la finca como mano de obra no calificada trabajando para las compañías petroleras y reciben ayuda externa. El estudio también muestra que los Indígenas tienen una mayor dependencia de los recursos forestales y ambientales en comparación con los colonos. Eventualmente, estos altos ingresos generados fuera de la finca podrían reducir, al menos temporalmente, la presión sobre los bosques. En este contexto, REDD+ constituye un incentivo débil para los hogares estudiados cuando se compara con los altos ingresos de la mano de obra no calificada. Esto se aplica aún más cuando se considera el involucramiento en las actividades del proyecto de REDD+ que requieren mucho tiempo, como la reforestación, monitoreo forestal, etc. A nivel comunitario, se analiza la configuración de la tierra y el marco institucional para la toma de decisiones sobre los recursos compartidos. Aquí se presentan dos formas de arreglos comunales: Regímenes Comunes de Gestión de la Propiedad (CRPM) y Cooperativas de Colonos. El marco teórico de Ostrom (1990) sobre la gobernanza de los recursos communes (CPR) se utiliza como marco conceptual. Los resultados sugieren que cada vez más, tanto la configuración de la tierra de las IP como las organizaciones comunitarias están adquiriendo características mestizas. Este mestizaje promovido parcialmente por el gobierno a través de los legados de la Reforma Agraria y los actuales marcos legales está desencadenando la privatización de las fincas dentro de las tierras comunitarias y por lo tanto promoviendo la fragmentación del bosque y afectando las formas ancestrales de regularización para el uso de los recursos. A nivel del paisaje se presenta una revisión de la configuración histórica y territorial así como los planes de manejo para la Reserva de la Biosfera Yasuní. Además, se discuten marcos legales para REDD+, así como mecanismos de consulta y participación. De acuerdo con los datos del presente estudio, la inseguridad en la administración de la tierra y los derechos de titulación pueden obstaculizar la implementación de REDD+ y generar conflictos debido a la superposición de tierras indígenas con bloques de petróleo y áreas protegidas. Además, las incoherencias entre los planes de gestión y los marcos jurídicos reducen la participación efectiva y la toma de decisiones de los Inddígenas y los pequeños agricultores. El análisis concluye sugiriendo una visión de paisaje amplia e integrada para el área del Yasuní. El marco teórico de medios de vida (Lifelihood Framewrok) se ha utilizado comúnmente para estudiar las condiciones de los hogares y generar patrones de uso de recursos ambientales que pueden moldear y predecir procesos de conservación, deforestación o degradación. Sin embargo, intentos como el presentado aquí ejemplifican la necesidad de perspectivas ascendentes previo a la implementación de mecanismos globales de mitigación como REDD+. Desde la perspectiva práctica, los resultados proporcionan nuevas percepciones para los desarrolladores de proyectos y los formuladores de políticas para el diseño de enfoques REDD+. La verdadera y plena participación de las comunidades locales en la gobernanza de los bosques es la única manera de alcanzar la conservación y el desarrollo sostenible de los bosques tropicales. Además, igual de importantes son la diversidad pluricultural y la promoción de reglas tradicionales para el uso de los recursos, así como las prácticas tradicionales