| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910787165203321 |
|
|
Autore |
Ortega José Luis |
|
|
Titolo |
Academic search engines : a quantitative outlook / / José Luis Ortega |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Oxford, England : , : Chandos Publishing, , 2014 |
|
©2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (221 p.) |
|
|
|
|
|
|
Collana |
|
Chandos Information Professional Series |
|
|
|
|
|
|
Classificazione |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Web search engines - Evaluation |
Internet research |
Scholarly Web sites |
Research - Evaluation - Data processing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Cover; Academic Search Engines: A quantitative outlook; Copyright; Dedication; Contents; List of figures and tables; Figures; Tables; Preface; About the author; 1 Introduction; What is an academic search engine?; Challenges for an academic search engine; The evolution of academic search engines; Future perspectives; 2 CiteSeerx: a scientific engine for scientists; Autonomous citation indexing; A focus on computer science; A searchable digital library; Searching for authors and citations; Parsing mistakes; Other 'Seers': the CiteSeerx lab; A pioneer in citation indexing |
3 Scirus: a multi-source searcherWeb pages and authoritative sources; Crawling and data extraction; Source filtering; Ranking on links; A missed opportunity; 4 AMiner: science networking as an information source; A networked engine; A chaotic design; Based on bibliographic databases; Searching only in documents; Exhaustive author profiles; PatentMiner; A half-academic search engine; 5 Microsoft Academic Search: the multi-object engine; The object-level vertical search engine; Slow content updating speed; Filtering across the directory; A multidimensional ranking |
A composition based on profilesVisualization: graphs as research assessment tools; More a directory than an engine; 6 Google Scholar: |
|
|
|
|
|
|
|
|
|
|
|
|
|
on the shoulders of a giant; A specialization of Google; Feeding back its own sources; The opacity of results; Google Scholar's additional services; The most exhaustive academic search engine; 7 Other academic search engines; BASE; Q-Sensei Scholar; WorldWideScience; 8 A comparative analysis; Functioning; Structure; Coverage; Searching; A heterogeneous sample; 9 Final remarks; References; Index |
|
|
|
|
|
|
Sommario/riassunto |
|
Academic Search Engines: intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the new challenges that the Web set to the scientific activity thro |
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910876807303321 |
|
|
Autore |
Campo Matias del |
|
|
Titolo |
Diffusions in Architecture |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Newark : , : John Wiley & Sons, Incorporated, , 2024 |
|
©2024 |
|
|
|
|
|
|
|
|
|
ISBN |
|
9781394191802 |
1394191804 |
9781394191796 |
1394191790 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (354 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Architecture - Data processing |
Architecture - Computer-aided design |
Artificial intelligence |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Cover -- Title Page -- Copyright -- Acknowledgments -- Contents -- |
|
|
|
|
|
|
|
|
|
Preface -- Prologue -- Suppositions -- Rice or Pasta? Choose Your AI -- Taxonomy -- Diffusions -- The Labors of AI -- An Artificial Tale -- Resistance Is Fertile -- Ontology of Diffusion Models -- Commorancies -- The Etiology of a New Collective Architecture -- Noise, Pixels, and Ancient Metamorphic Rocks -- Timberpunk, Prompt Odyssey, Synthetic Ground, and Other Projects -- Computation Past Forward -- Diffusion Models -- Vestures -- Design as a Latent Condition -- AI, Architecture, and Art -- The Advent of Trees in Architecture -- Five Points of Architecture and AI -- De-Coding Visual Cliches and Verbal Biases -- Light Architecture -- Driftwood Rock -- Digital Spoliare -- Estrangements -- Imago Mundi Imaginibus Mundi -- 3D Diffusion or 3D Disfiguration? -- Role Play -- The Doghouse -- Do Humans Dream of Furry Houses? -- Allies in Exile -- Appendix -- Epilogue -- Glossary -- Contributor Profiles -- References -- Bibliography -- Index -- Image Credits -- About the Author -- EULA. |
|
|
|
|
|
|
Sommario/riassunto |
|
DIFFUSIONS IN ARCHITECTURE A guide to diffusion models and their impact on design, with insight on how this novel artificial intelligence technology may disrupt the industry Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Generative AI models and their effect on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture and changing the way architects approach their work. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. Twenty-two leading designers and theorists offer their insights, providing disciplinary depth by covering the full impact of these learning tools on architecture. |
|
|
|
|
|
|
|
| |