This book can be first considered as a complete synthesis of the EcCoGen ANR project (2011-2012), involving researchers from different French labs (including MAP) and domains, breaking major difficulties of the real-time generative design in the early stages of a pre-architectural project. Then the scope becomes larger, and the authors introduce major prospects following recent advances on natural and artificial evolution.

Search Engine Optimization (SEO) is arguably the most significant tool that marketeers have to push online content. As the hub of the computational engineering fields, SEO encompasses technical, editorial and link-building strategies, and is an integral part of our daily lives. As important as it is ubiquitous, SEO is needed for the development of a brands website and online reputation. When a website is live, one of its priorities is to drive organic traffic towards it, in order to attract visibility. In order to achieve such an aim, many proactive measures must be put in place, advice followed and tips implemented. There should also be an understanding of the holistic connection between a websites HTML sources, content management system and its relationship with external websites too (SEO off-site). There are many different search engines in the world and depending on the international boundary, one web browser usually dominates the landscape. Google features prominently in SEO Management, but this book also goes into detail regarding Baidu SEO (China), Yandex SEO (Russia) and Naver SEO (South Korea). There is also guidance given on how to manage a SEO project.

Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.

Developed from presentations given at the Cerisy SVSI (Sciences de la vie, sciences de l’information) conference held in 2016, this book presents a broad overview of thought and research at the intersection of life sciences and information sciences. The contributors to this edited volume explore life and information on an equal footing, with each considered as crucial to the other. In the first part of the book, the relation of life and information in the functioning of genes, at both the phylogenetic and ontogenetic levels, is articulated and the common understanding of DNA as code is problematized from a range of perspectives. The second part of the book homes in on the algorithmic nature of information, questioning the fit between life and automaton and the accompanying division between individualization and invariance. Consisting of both philosophical speculation and ethological research, the explorations in this book are a timely intervention into prevailing understandings of the relation between information and life.

This book will examine the issues of IoT according to three complementary axes: technique, use, ethics. The techniques used to produce artefacts (physical objects, infrastructures), programs (algorithms, software) and data (Big data, linked data, metadata, ontologies) are the subject of many innovations as the field of IoT is rich and stimulating. Along with this technological boom, IoT uses colonize new fields of application in the fields of transport, administration, housing, maintenance, health, sports, well-being. ... Privileged interface with digital ecosystems now at the heart of social exchanges, the IoT develops a power to act whose consequences both good and bad make it difficult to assess a fair business.

This book brings together current research and adopts a pragmatic approach to modeling and using context to solve real-world problems. The editors were instrumental in creating - and continue to be involved in - the interdisciplinary research community, centered around the biennial CONTEXT (International and Interdisciplinary Conference on Modeling and Using Context) conference series, focused on studying context and its implications for artificial intelligence, software applications, psychology, philosophy, linguistics, neuroscience, as well as other fields. The first three chapters lay the foundations, looking at the lessons learned over the past 25 years and arguing for a continued shift toward more pragmatic approaches. The remaining chapters contain contributions to pragmatic context-based research from a wide range of domains, including technological problems - such as subway incident management and autonomous underwater vehicle control - identifying emotions from speech without understanding the words, anonymization in a world where privacy is increasingly threatened, teaching in context and improving management teaching in a business school.

This collaborative research project allows for fundamental advances not only in the understanding of the phenomena but also in the development of practical calculation methods that can be used by engineers. This collaborative research project allows for fundamental advances not only in the understanding of the phenomena but also in the development of practical calculation methods that can be used by engineers.

An information system may be regarded as an organized set of resources, both technological and human. Security should take this specificity into consideration in order to ensure an overall security of information systems. The security of information systems is usually tackled in a technological perspective. This book proposes to focus not only on information systems' security in a technological perspective, but also in a human, managerial and organizational perspective.

The intelligence of a city is the capacity to learn: to learn the past, its history and the culture of its territory. Unlike the smart city, we do not build a city from scratch and there is nothing, there is no smart city standard car intelligence is measured this ability to fit into a territorial dynamic, a story and a culture. Continuous learning through instantaneous feedback provides the digital to understand and map the urban system and driver.

This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.