Web Data APIs for Knowledge Graphs: Easing Access to Semantic Data for Application Developers
- Data
- Categories:Computers & Internet
- Language:English(Translation Services Available)
- Publication date:October,2021
- Pages:118
- Retail Price:(Unknown)
- Size:190mm×234mm
- Page Views:111
- Words:(Unknown)
- Star Ratings:
- Text Color:Black and white
Request for Review Sample
Through our website, you are submitting the application for you to evaluate the book. If it is approved, you may read the electronic edition of this book online.
Special Note:
The submission of this request means you agree to inquire the books through RIGHTOL,
and undertakes, within 18 months, not to inquire the books through any other third party,
including but not limited to authors, publishers and other rights agencies.
Otherwise we have right to terminate your use of Rights Online and our cooperation,
as well as require a penalty of no less than 1000 US Dollars.
Description
The authors highlight the underlying principles behind these technologies—query management, declarative languages, new levels of indirection, abstraction layers, and separation of concerns—, explain their practical usage, and describe their penetration in research projects and industry.
The book, therefore, serves a double purpose: to provide a sound and technical description of tools and methods at the disposal of publishers and developers to quickly deploy and consume Web Data APIs on top of Knowledge Graphs; and to propose an extensible and heterogeneous Knowledge Graph access infrastructure that accommodates a growing ecosystem of querying paradigms.
Author
Pasquale Lisena is a researcher in the Data Science department at EURECOM, Sophia Antipolis (France). He obtained his Ph.D. in Computer Science from Sorbonne University of Paris in 2019, with a thesis on music representation and recommendation, under the supervision of Raphaël Troncy. His research focuses on Semantic Web, Knowledge Graphs, and Information Extraction, with particular application to the domain of Digital Humanities, contributing in AI projects such as DOREMUS, SILKNOW, and Odeuropa. Pasquale's work has been published in leading conferences in the field, such as ISWC, EKAW, and ISMIR. Given his past background as a web developer, his interest also involves data usability in web applications and human-computer interaction. He is the main author of SPARQL Transformer.
Carlos Martínez-Ortiz is a community manager at the Netherlands eScience Center. He obtained his Ph.D. in Computer Science at the University of Exeter (United Kingdom). Afterward, he worked on various research projects at the University of Exeter, Plymouth University, and the eScience Center. These projects were in collaboration with industrial and academic partners in diverse fields such as veterinary science, digital humanities, and life sciences. He has been involved in large projects such as CLARIAH and ODISSEI and works in close collaboration with partners such as SURF, DANS, and The Software Sustainability Institute. His current research interests include linked open data, natural language processing, and software sustainability.