An Approach for Structuring Sound Sample Libraries Using Ontology

Evgenii Chernyi; Johan Lilius; Johannes Brusila; Dmitry Mouromtsev; Gleb Rogozinsky

doi:10.1007/978-3-319-45880-9_16

An Approach for Structuring Sound Sample Libraries Using Ontology

Evgenii Chernyi, Johan Lilius, Johannes Brusila, Dmitry Mouromtsev, Gleb Rogozinsky

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

Sound designers use big collections of sounds, recorded themselves or bought from commercial library providers. They have to navigate through thousands of sounds in order to find a sound pertinent for a task. Metadata management software is used, but all annotations are text-based and added by hand and there is still no widely accepted vocabulary of terms that can be used for annotations. This introduces several metadata issues that make the search process complex, such as ambiguity, synonymy and relativity. This paper addresses these problems with knowledge elicitation and sound design ontology engineering.

Original language	Undefined/Unknown
Title of host publication	Knowledge Engineering and Semantic Web
Editors	Axel-Cyrille Ngonga Ngomo, Petr Křemen
Publisher	Springer
Pages	202–214
ISBN (Electronic)	978-3-319-45880-9
ISBN (Print)	978-3-319-45879-3
DOIs	https://doi.org/10.1007/978-3-319-45880-9_16
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Knowledge Engineering and Semantic Web - International Conference on Knowledge Engineering and Semantic Web Duration: 21 Sept 2016 → 23 Sept 2016

Conference

Conference	International Conference on Knowledge Engineering and Semantic Web
Period	21/09/16 → 23/09/16

Keywords

Knowledge Engineering
Metadata Management
Semantic web
Sound Design

Access to Document

10.1007/978-3-319-45880-9_16

http://link.springer.com/chapter/10.1007%2F978-3-319-45880-9_16

Cite this

@inproceedings{ef1f65b09913423b8a458e68131f4726,

title = "An Approach for Structuring Sound Sample Libraries Using Ontology",

abstract = "Sound designers use big collections of sounds, recorded themselves or bought from commercial library providers. They have to navigate through thousands of sounds in order to find a sound pertinent for a task. Metadata management software is used, but all annotations are text-based and added by hand and there is still no widely accepted vocabulary of terms that can be used for annotations. This introduces several metadata issues that make the search process complex, such as ambiguity, synonymy and relativity. This paper addresses these problems with knowledge elicitation and sound design ontology engineering.",

keywords = "Knowledge Engineering, Metadata Management, Semantic web, Sound Design, Knowledge Engineering, Metadata Management, Semantic web, Sound Design, Knowledge Engineering, Metadata Management, Semantic web, Sound Design",

author = "Evgenii Chernyi and Johan Lilius and Johannes Brusila and Dmitry Mouromtsev and Gleb Rogozinsky",

year = "2016",

doi = "10.1007/978-3-319-45880-9_16",

language = "Odefinierat/ok{\"a}nt",

isbn = "978-3-319-45879-3",

pages = "202–214",

editor = "{Ngonga Ngomo}, Axel-Cyrille and Petr K{\v r}emen",

booktitle = "Knowledge Engineering and Semantic Web",

publisher = "Springer",

note = "International Conference on Knowledge Engineering and Semantic Web ; Conference date: 21-09-2016 Through 23-09-2016",

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T1 - An Approach for Structuring Sound Sample Libraries Using Ontology

AU - Chernyi, Evgenii

AU - Lilius, Johan

AU - Brusila, Johannes

AU - Mouromtsev, Dmitry

AU - Rogozinsky, Gleb

PY - 2016

Y1 - 2016

N2 - Sound designers use big collections of sounds, recorded themselves or bought from commercial library providers. They have to navigate through thousands of sounds in order to find a sound pertinent for a task. Metadata management software is used, but all annotations are text-based and added by hand and there is still no widely accepted vocabulary of terms that can be used for annotations. This introduces several metadata issues that make the search process complex, such as ambiguity, synonymy and relativity. This paper addresses these problems with knowledge elicitation and sound design ontology engineering.

AB - Sound designers use big collections of sounds, recorded themselves or bought from commercial library providers. They have to navigate through thousands of sounds in order to find a sound pertinent for a task. Metadata management software is used, but all annotations are text-based and added by hand and there is still no widely accepted vocabulary of terms that can be used for annotations. This introduces several metadata issues that make the search process complex, such as ambiguity, synonymy and relativity. This paper addresses these problems with knowledge elicitation and sound design ontology engineering.

KW - Knowledge Engineering

KW - Metadata Management

KW - Semantic web

KW - Sound Design

KW - Knowledge Engineering

KW - Metadata Management

KW - Semantic web

KW - Sound Design

KW - Knowledge Engineering

KW - Metadata Management

KW - Semantic web

KW - Sound Design

U2 - 10.1007/978-3-319-45880-9_16

DO - 10.1007/978-3-319-45880-9_16

M3 - Konferensbidrag

SN - 978-3-319-45879-3

SP - 202

EP - 214

BT - Knowledge Engineering and Semantic Web

A2 - Ngonga Ngomo, Axel-Cyrille

A2 - Křemen, Petr

PB - Springer

T2 - International Conference on Knowledge Engineering and Semantic Web

Y2 - 21 September 2016 through 23 September 2016

ER -