Google Semantic Search


Book Description

Optimize Your Sites for Today’s Radically New Semantic Search Breakthrough “semantic search” techniques are already transforming Google™’s search results. If you want to be found, yesterday’s SEO techniques won’t cut it anymore. Google Semantic Search tells you what to do instead—in plain English. David Amerland demystifies Knowledge Graph™, TrustRank™, AuthorityRank™, personalized and mobile search, social media activity, and much more. Drawing on deep knowledge of Google’s internal workings and newest patents, he also reveals the growing impact of social networks on your SEO performance. Whether you do it yourself or supervise an agency, this is your complete playbook for next-generation SEO! • Learn how Google is delivering answers, not just links—and what it means to you • Profit from Google Now™ and the fragmented, personalized future of search • Prepare for Knowledge Graph™ by growing your online reputation, authority, and trust • Stop using 10 common SEO techniques that no longer work • Discover the truth about Trust Ranking™—and 10 steps to take right now • Go way beyond keywords in today’s new era of content marketing • Strengthen the “social signal” you create on Twitter, Facebook, Google+, and LinkedIn • See why the “First Page of Google” is rapidly become obsolete • Drive unprecedented business value from your online identity and influence • Learn how Google captures meaning in unstructured data—and give it what it wants • Plan for all “4 Vs” of semantic search: Volume, Velocity, Variety, and Veracity • Rapidly transition from technical to strategic search optimization http://helpmyseo.com/google-semantic-search.html




Google Semantic Search in Ireland. Personalisation, Trust, Influence, Reliance, Reputation, and Ethics


Book Description

Master's Thesis from the year 2015 in the subject Communications - Public Relations, Advertising, Marketing, Social Media, grade: First Class Honours, , course: Masters Degree in Digital Marketing - Semantic Search Personalisation, language: English, abstract: This research is an investigation into the Irish public's perception of Google search. The study examines the methods used by Google to present users with the most relevant and satisfactory search results. 95% of the online public in Ireland use Google as a search tool. This study aims to uncover true user sentiment in Ireland. The objectives of this research are to reveal how the Irish public view Google in regards to semantic search personalisation, trust, influence, reliance, reputation, and ethics. The existing literature revealed that Google's search engine has evolved from, one that used Boolean Search logic to match keywords, to a semantic engine that understands user intent and context. The literature also reveals how the younger 'Millennial' generation associate the Internet with one brand, Google. The literature examines search personalisation and how intuitive it has become as it serves us with content that matches our online behaviour. We discover that over-personalisation is narrowing our search bubble which in turn can blind us from other information outside our search reach. During the course of this study, a mixed method research was used to measure and discuss public opinion. This study has identified where literature has fallen short. Where gaps have appeared in the literature, qualitative meaning has been extracted from 3 groups of people from differing levels of technical ability and experience. It was discovered that age demographic affects how we view Google as a search engine. Quantitative findings revealed that 75% of users were aware of personalisation but 70% of these users were not always happy with the results. Although a general consensus was formed that personalisation was helpful in many respects, it was also argued, in some camps, that it breached ethical boundaries. Overall, there was a national split whether users considered personalisation ethical or not. This study leaves open the debate of how we perceive Google as a nation but it also gets closer to the truth of how we feel about the search engine on a personal level. The research also confirms that there is plenty of opportunity to carry out further studies into this area.




Semantic Web Technologies


Book Description

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.




Handbook of Semantic Web Technologies


Book Description

After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.




Google Semantic Search


Book Description

Optimize Your Sites for Today's Radically New Semantic Search Breakthrough "semantic search" techniques are already transforming Google(tm)'s search results. If you want to be found, yesterday's SEO techniques won't cut it anymore. Google Semantic Search tells you what to do instead--in plain English. David Amerland demystifies Knowledge Graph(tm), TrustRank(tm), AuthorityRank(tm), personalized and mobile search, social media activity, and much more. Drawing on deep knowledge of Google's internal workings and newest patents, he also reveals the growing impact of social networks on your SEO performance. Whether you do it yourself or supervise an agency, this is your complete playbook for next-generation SEO! * Learn how Google is delivering answers, not just links--and what it means to you * Profit from Google Now(tm) and the fragmented, personalized future of search * Prepare for Knowledge Graph(tm) by growing your online reputation, authority, and trust * Stop using 10 common SEO techniques that no longer work * Discover the truth about Trust Ranking(tm)--and 10 steps to take right now * Go way beyond keywords in today's new era of content marketing * Strengthen the "social signal" you create on Twitter, Facebook, Google+, and LinkedIn * See why the "First Page of Google" is rapidly become obsolete * Drive unprecedented business value from your online identity and influence * Learn how Google captures meaning in unstructured data--and give it what it wants * Plan for all "4 Vs" of semantic search: Volume, Velocity, Variety, and Veracity * Rapidly transition from technical to strategic search optimization http://helpmyseo.com/google-semantic-search.html




Process-oriented Semantic Web Search


Book Description

The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process. In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this book presents a general Semantic Web Search model. With respect to this model, the book provides a comprehensive discussion of the state-of-the-art. It elaborates on approaches for crawling, managing and searching Semantic Web resources as well as the various schemes proposed for ranking search results. Besides these specific approaches, search is also studied in a general multi-data-source scenario. This shall demonstrate how this work on search is extended and applied to the Web setting. A major feature of the book is that it considers search and the use of semantics for search also from a process point of view. Extending the general model, the book introduces the notion of Process-oriented Semantic Web Search, where semantics is exploited throughout the entire search process – from query construction to query processing up to result presentation and query refinement. Specific pieces of work targeting these individual steps of the process are combined to form a coherent and consistent picture of Process-oriented Semantic Web Search. In order to convey this general notion as well as the specific concepts and technologies developed for supporting the search process, this book presents a compilation of work called SemSearchPro and provides detailed descriptions on the underlying approaches.




The Semantic Web: Research and Applications


Book Description

This book constitutes the refereed proceedings of the Second European Semantic Web Conference, ESWC 2005, heldin Heraklion, Crete, Greece in May/June 2005. The 48 revised full papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on semantic Web services, languages, ontologies, reasoning and querying, search and information retrieval, user and communities, natural language for the semantic Web, annotation tools, and semantic Web applications.




Digital Journalism, Drones, and Automation


Book Description

The lure of big data and analytics has produced new partnerships between news media and social media and consequently a fragmentation of digital journalism. The era is coupled with the rise in fake news and controversial data sharing. However, creative mobile reporting and civilian drones set new standards for journalist during the European asylum seeker crisis. Yet the focus on data and remote cloud servers continues to dominate online news and journalism, alongside new semantic models for data personalization. News tags that define concepts within a news story to assist search, are now monetized abstractions in accelerated data processing that enables automation and feeds advertising. Can journalism compete with this by defining its own concepts with ethical values named and embedded in algorithms? Can machines make sense of the world in the same way as a traditional journalist? In this book, Cate Dowd analyzes the tasks and ethics of journalists and questions how intelligent machines could simulate ethical human behaviors to better understand the dizzy post-human world of online data. Looking to digital journalism and multi-platform news media, from studios and integrated media systems to mobile reporting in the field, Dowd assesses how data and digital technology has impacted on journalism over the past decade. Dowd's research is informed by in-depth participation with investigative journalists, including images drawn and annotated by industry experts to present key journalism concepts, priorities, and values. Chapters explore approaches for the elicitation of vocabulary for journalism and design methods to embed values and ethics into algorithms for the era of automation and big data. Digital Journalism, Drones, and Automation provides insights into the lasting values of journalism processes and equips readers interested in entering or understanding online data and news media with much needed context and wisdom.




The Epistemology of Intelligent Semantic Web Systems


Book Description

The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and also showing what might be the focus of future research. This book provides both a conceptual and practical view of this evolution, especially targeted at readers who are starting research in this area and as support material for their supervisors. From a conceptual point of view, it highlights and discusses key questions that have animated the research community: what does it mean to be a Semantic Web system and how is it different from other types of systems, such as knowledge systems or web-based information systems? From a more practical point of view, the core of the book introduces a simple conceptual framework which characterizes Intelligent Semantic Web Systems. We describe this framework, the components it includes, and give pointers to some of the approaches and technologies that might be used to implement them. We also look in detail at concrete systems falling under the category of Intelligent Semantic Web Systems, according to the proposed framework, allowing us to compare them, analyze their strengths and weaknesses, and identify the key fundamental challenges still open for researchers to tackle.




The Semantic Web: Research and Applications


Book Description

This book constitutes the refereed proceedings of the 5th European Semantic Web Conference, ESWC 2008, held in Tenerife, Canary Islands, Spain, in June 2008. The 51 revised full papers presented together with 3 invited talks and 25 system description papers were carefully reviewed and selected from a total of 270 submitted papers. The papers are organized in topical sections on agents, application ontologies, applications, formal languages, foundational issues, learning, ontologies and natural language, ontology alignment, query processing, search, semantic Web services, storage and retrieval of semantic Web data, as well as user interfaces and personalization.