loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Kurt Englmeier

Affiliation: Faculty of Computer Science, Schmalkalden University of Applied Science, Blechhammer, Schmalkalden, Germany

Keyword(s): Context Management, Information Extraction, Context-aware Information Retrieval, Named-entity Recognition, Bag of Words, Classification.

Abstract: Context encompasses the classification of a certain environment by its key attributes. It is an abstract representation of a certain data environment. In texts, the context classifies and represents a piece of text in a generalized form. Context can be a recursive construct when summarizing text on a more coarse-grained level. Context-aware information retrieval and classification has many aspects. This paper presents identification and standardization of context on different levels of granularity that supports faster and more precise location of relevant text sections. The prototypical system presented here applies supervised learning for a semiautomatic approach to extract, distil, and standardize data from text. The approach is based on named-entity recognition and simple ontologies for identification and disambiguation of context. Even though the prototype shown here still represents work in progress and demonstrates its potential of information retrieval on different levels of c ontext granularity. The paper presents the application of the prototype in the realm of economic information and hate speech detection. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.238.143.70

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Englmeier, K. (2020). Context-aware Retrieval and Classification: Design and Benefits. In Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-440-4; ISSN 2184-285X, SciTePress, pages 302-309. DOI: 10.5220/0009890503020309

@conference{data20,
author={Kurt Englmeier.},
title={Context-aware Retrieval and Classification: Design and Benefits},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA},
year={2020},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009890503020309},
isbn={978-989-758-440-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA
TI - Context-aware Retrieval and Classification: Design and Benefits
SN - 978-989-758-440-4
IS - 2184-285X
AU - Englmeier, K.
PY - 2020
SP - 302
EP - 309
DO - 10.5220/0009890503020309
PB - SciTePress