Document (#38511)

Author

Gödert, W.

Title

¬An ontology-based model for indexing and retrieval

Source

http://arxiv.org/abs/1312.4425

Year

2013

Abstract

Starting from an unsolved problem of information retrieval this paper presents an ontology-based model for indexing and retrieval. The model combines the methods and experiences of cognitive-to-interpret indexing languages with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of hit quantities in the context of retrieval processes. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.

Theme

Wissensrepräsentation

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1. Gödert, W.: ¬An ontology-based model for indexing and retrieval (2016) 2.22

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2. Gödert, W.: Facets and typed relations as tools for reasoning processes in information retrieval (2014) 0.39

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3. Gödert, W.: Facets and typed relations as tools for reasoning processes in information retrieval (2014) 0.39

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4. Paralic, J.; Kostial, I.: Ontology-based information retrieval (2003) 0.18

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5. Cortex, E.M.; Park, S.C.; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network for intelligent information retrieval (1995) 0.17

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