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Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Seed, a Natural Language Interface to Knowledge Bases

Authors : Bahaa Eldesouky, Heiko Maus, Sven Schwarz, Andreas Dengel

Published in: Human Interface and the Management of Information. Information and Knowledge Design

Publisher: Springer International Publishing

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Abstract

The World Wide Web has been rapidly developing in the last decade. In recent years, the Semantic Web has gained a lot of traction. It is a vision of the Web where data is understandable by machines as well as humans. Developments in the Semantic Web made way for the creation of massive knowledge bases containing a wealth of structured information. However, allowing end-users to interact with and benefit from these knowledge bases remains a challenge.
In this paper, we present Seed, an extensible knowledge-supported natural language text composition tool, which provides a user-friendly way of interacting with complex knowledge systems. It is integrable not only with public knowledge bases on the Semantic Web, but also with private knowledge bases used in personal or enterprise contexts.
By means of a long-term formative user-study and a short-term user evaluation of a sizable population of test subjects, we show that Seed was successfully used in exploring, modifying and creating the content of complex knowledge bases. We show it enables end-users do so with nearly no domain knowledge while hiding the complexity of the underlying knowledge representation.

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Footnotes
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Metadata
Title
Seed, a Natural Language Interface to Knowledge Bases
Authors
Bahaa Eldesouky
Heiko Maus
Sven Schwarz
Andreas Dengel
Copyright Year
2015
Book
Human Interface and the Management of Information. Information and Knowledge Design

Print ISBN: 978-3-319-20611-0

Electronic ISBN: 978-3-319-20612-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20612-7_27