Semantic Query Processing

Semantic Query Processing: Estimating Relational Purity

Kalo, Jan-Christoph (TU Braunschweig)
Lofi, C. (TU Delft Web Information Systems)
Maseli, René Pascal (TU Braunschweig)
Balke, Wolf-Tilo (TU Braunschweig)

Leyer, M. (editor)

2017-09-01

The use of semantic information found in structured knowledge bases has become an integral part of the processing pipeline of modern intelligent in-
formation systems. However, such semantic information is frequently insuffi-cient to capture the rich semantics demanded by the applications, and thus cor-pus-based methods employing natural language processing techniques are often used conjointly to provide additional information. However, the semantic expres-siveness and interaction of these data sources with respect to query processing result quality is often not clear. Therefore, in this paper, we introduce the notion of relational purity which represents how well the explicitly modelled relation-ships between two entities in a structured knowledge base capture the implicit (and usually more diverse) semantics found in corpus-based word embeddings.
The purity score gives valuable insights into the completeness of a knowledge base, but also into the expected quality of complex semantic queries relying on reasoning over relationships, as for example analogy queries.

Semantics of Relationships
LOD
Structured Knowledge Reposito-ries
Word Embeddings

http://resolver.tudelft.nl/uuid:ea4bb070-f465-4103-b068-a31c59ac1623

CEUR-WS, Rostock, Germany

LWDA 2017 Lernen Wissen Daten Analysen 2017: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings

Lernen, Wissen, Daten, Analysen 2017, 2017-09-11 → 2017-09-13, Rostock, Germany

CEUR Workshop Proceedings, 1613-0073, 1917

Institutional Repository

conference paper

© 2017 Jan-Christoph Kalo, C. Lofi, René Pascal Maseli, Wolf-Tilo Balke