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Semantic Annotation and Search: Bridging the Gap between Text, Knowledge and Language

Zhang, Lei

Abstract:
In recent years, the ever-increasing quantities of entities in large knowledge bases on the Web, such as DBpedia, Freebase and YAGO, pose new challenges but at the same time open up new opportunities for intelligent information access. These knowledge bases (KBs) have become valuable resources in many research areas, such as natural language processing (NLP) and information retrieval (IR). Recently, almost every major commercial Web search engine has incorporated entities into their search process, including Google’s Knowledge Graph, Yahoo!’s Web of Objects and Microsoft’s Satori Graph/Bing Snapshots. The goal is to bridge the semantic gap between natural language text and formalized knowledge.

Within the context of globalization, multilingual and cross-lingual access to information has emerged as an issue of major interest. Nowadays, more and more people from different countries are connecting to the Internet, in particular the Web, and many users can understand more than one language. While the diversity of languages on the Web has been growing, for most people there is still very little content in their native language. As a consequence of the ability to understand more than one language, users are also interested in Web content in other languages than their mother tongue. ... mehr

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Volltext §
DOI: 10.5445/IR/1000081159
Veröffentlicht am 19.03.2018
Coverbild
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Hochschulschrift
Jahr 2018
Sprache Englisch
Identifikator urn:nbn:de:swb:90-811596
KITopen-ID: 1000081159
Verlag KIT, Karlsruhe
Umfang XVI, 170 S.
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Prüfungsdatum 25.04.2017
Referent/Betreuer Prof. R. Studer
Schlagworte Semantic Annotation, Semantic Search, Cross-lingual, Knowledge Graphs
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