Data Integration for Open Data on the Web

Sebastian Neumaier, Axel Polleres, Simon Steyskal, Jürgen Umbrich

Publication: Chapter in book/Conference proceedingChapter in edited volume


In this lecture we will discuss and introduce challenges of
integrating openly available Web data and how to solve them. Firstly,
while we will address this topic from the viewpoint of Semantic Web
research, not all data is readily available as RDF or Linked Data, so
we will give an introduction to different data formats prevalent on the
Web, namely, standard formats for publishing and exchanging tabular,
tree-shaped, and graph data. Secondly, not all Open Data is really completely
open, so we will discuss and address issues around licences, terms
of usage associated with Open Data, as well as documentation of data
provenance. Thirdly, we will discuss issues connected with (meta-)data
quality issues associated with Open Data on the Web and how Semantic
Web techniques and vocabularies can be used to describe and remedy
them. Fourth, we will address issues about searchability and integration
of Open Data and discuss in how far semantic search can help to overcome
these. We close with briefly summarizing further issues not covered
explicitly herein, such as multi-linguality, temporal aspects (archiving,
evolution, temporal querying), as well as how/whether OWL and RDFS
reasoning on top of integrated open data could be help.
Original languageEnglish
Title of host publicationReasoning Web. Semantic Interoperability on the Web. Reasoning Web
Editors Springer International Publishing AG
Place of PublicationCham
PublisherSpringer International Publishing AG
EditionLecture Notes in Computer Science, vol 10370
ISBN (Print)978-3-319-61033-7
Publication statusPublished - 2017

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