Semantic Search for Novel Information

Autor/en:
Michael Färber
ORCID
https://orcid.org/ooo-001-5458-8645
Umfang:
214
EAN/ISBN/ISSN:
978-3-89838-727-9
Erscheinungsdatum:
Freitag, 21. Juli 2017
Band:
031
Ausgabe:
Softcover
Buchreihe:
Studies on the Semantic Web
Kategorien:
Buch
Semantic Web
Studies on the Semantic Web
Verfügbarkeit: lieferbar
Preis:
inkl. 7% MWSt
60,00 €

In this book, new approaches are presented for detecting and extracting simultaneously relevant and novel information from unstructured text documents. A major contribution of these approaches is that the information already provided and the extracted information are modeled semantically. This leads to the following benefits: (a) ambiguities in the language can be resolved; (b) the exact information needs regarding relevance and novelty can be specified; and (c) knowledge graphs can be incorporated.

More specifically, this book presents the following scientific contributions:

  1. An assessment of the suitability of existing large knowledge graphs (namely, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO) for the task of detecting novel information in text documents.
  2. A description of an approach by which emerging entities that are missing in a knowledge graph are detected in a stream of text documents.
  3. A suggestion for an approach to extracting novel, relevant, semantically-structured statements from text documents. The developed approaches are suitable for the recommendation of emerging entities and novel statements respectively, for the purpose of knowledge graph population, and for providing assistance to users requiring novel information, such as journalists and technology scouts.