Explore
Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project
Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
maryanndewolf
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
- 157 - pdf (CC BY-NC) at OAPEN Library.
- 297 - mobi (CC BY-NC) at Unglue.it.
- 407 - pdf (CC BY-NC) at Unglue.it.
- 382 - epub (CC BY-NC) at Unglue.it.
Keywords
- data enrichment
- data exploration
- data extraction
- data integration
- data interlinking
- data management systems
- data quality
- data visualization
- DBpedia
- information systems
- knowledge fusion
- large-scale RDF data management
- linked data for mdeia publishing
- linked enterprise data
- linked open data
- linked open data applications
- LOD
- open government data
- RDF
- resource description framework
- semantic Web
- SPARQL
- Antiques & collectables
- Artificial Intelligence (incl. Robotics)
- Biochemical engineering
- Computer science
- Computing & information technology
- data authoring
- data enrichment
- data exploration
- data extraction
- data integration
- data interlinking
- data management systems
- Data quality
- Data visualization
- Database management
- DBpedia
- Economics, finance, business & management
- Energy industries & utilities
- Industry & industrial studies
- Information systems
- Information Systems and Communication Service
- Information technology industries
- knowledge fusion
- large-scale RDF data management
- Lifestyle, sport & leisure
- linked data for mdeia publishing
- linked enterprise data
- Linked Open Data
- linked open data applications
- LOD
- Manufacturing industries
- Media, information & communication industries
- open government data
- Pharmaceutical industries
- RDF
- resource description framework
- Semantic Web
- SPARQL
- Technology, engineering, agriculture
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries
- thema EDItEUR::U Computing and Information Technology::UY Computer science
Links
DOI: 10.1007/978-3-319-09846-3web: https://link.springer.com/book/10.1007/978-3-319-09846-3
Editions
