Supporting Semi-Automatic Semantic Annotation of Multimedia Resources

Jeff Z. Pan; Chris Mellish

doi:10.1007/0-387-34224-9_71

Supporting Semi-Automatic Semantic Annotation of Multimedia Resources

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Ontologies provide an attractive basis for the representation of semantic information to be attached to multimedia information. However, the flexibility available to develop one's own ontology or partially reuse an existing ontology means that human input is unavoidable in the process of creating the annotations. We address the issue of how to use ontology reasoning services and natural language generation to provide presentations of relevant ontology structures for human use.

Original language	English
Title of host publication	Artificial Intelligence Applications and Innovations
Editors	Ilias Maglogiannis, Kostas Karpouzis, Max Bramer
Place of Publication	New York
Publisher	Springer
Pages	609-617
Number of pages	9
ISBN (Electronic)	978-0-387-34224-5
ISBN (Print)	978-0-387-34223-8, 978-1-4419-4168-8
DOIs	https://doi.org/10.1007/0-387-34224-9_71
Publication status	Published - 25 Aug 2006
Event	3rd IFIP Conference on Artificial Intelligence Applications and Innovations - Athens, Greece Duration: 7 Jun 2006 → 9 Jun 2006 Conference number: 3

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer New York, NY
Volume	204
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	3rd IFIP Conference on Artificial Intelligence Applications and Innovations
Abbreviated title	AIAI 2006
Country/Territory	Greece
City	Athens
Period	7/06/06 → 9/06/06

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10.1007/0-387-34224-9_71Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/0-387-34224-9_71Licence: All Rights Reserved

Cite this

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title = "Supporting Semi-Automatic Semantic Annotation of Multimedia Resources",

abstract = "Ontologies provide an attractive basis for the representation of semantic information to be attached to multimedia information. However, the flexibility available to develop one's own ontology or partially reuse an existing ontology means that human input is unavoidable in the process of creating the annotations. We address the issue of how to use ontology reasoning services and natural language generation to provide presentations of relevant ontology structures for human use.",

author = "Pan, {Jeff Z.} and Chris Mellish",

year = "2006",

month = aug,

day = "25",

doi = "10.1007/0-387-34224-9_71",

language = "English",

isbn = "978-0-387-34223-8",

series = "IFIP Advances in Information and Communication Technology",

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pages = "609--617",

editor = "Ilias Maglogiannis and Kostas Karpouzis and Max Bramer",

booktitle = "Artificial Intelligence Applications and Innovations",

address = "United Kingdom",

note = "3rd IFIP Conference on Artificial Intelligence Applications and Innovations, AIAI 2006 ; Conference date: 07-06-2006 Through 09-06-2006",

}

Pan, JZ & Mellish, C 2006, Supporting Semi-Automatic Semantic Annotation of Multimedia Resources. in I Maglogiannis, K Karpouzis & M Bramer (eds), Artificial Intelligence Applications and Innovations. IFIP Advances in Information and Communication Technology, vol. 204, Springer, New York, pp. 609-617, 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, Athens, Greece, 7/06/06. https://doi.org/10.1007/0-387-34224-9_71

Supporting Semi-Automatic Semantic Annotation of Multimedia Resources. / Pan, Jeff Z.; Mellish, Chris.
Artificial Intelligence Applications and Innovations. ed. / Ilias Maglogiannis; Kostas Karpouzis; Max Bramer. New York: Springer, 2006. p. 609-617 (IFIP Advances in Information and Communication Technology; Vol. 204).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Supporting Semi-Automatic Semantic Annotation of Multimedia Resources

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N1 - Conference code: 3

PY - 2006/8/25

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N2 - Ontologies provide an attractive basis for the representation of semantic information to be attached to multimedia information. However, the flexibility available to develop one's own ontology or partially reuse an existing ontology means that human input is unavoidable in the process of creating the annotations. We address the issue of how to use ontology reasoning services and natural language generation to provide presentations of relevant ontology structures for human use.

AB - Ontologies provide an attractive basis for the representation of semantic information to be attached to multimedia information. However, the flexibility available to develop one's own ontology or partially reuse an existing ontology means that human input is unavoidable in the process of creating the annotations. We address the issue of how to use ontology reasoning services and natural language generation to provide presentations of relevant ontology structures for human use.

U2 - 10.1007/0-387-34224-9_71

DO - 10.1007/0-387-34224-9_71

M3 - Conference contribution

SN - 978-0-387-34223-8

SN - 978-1-4419-4168-8

T3 - IFIP Advances in Information and Communication Technology

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BT - Artificial Intelligence Applications and Innovations

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T2 - 3rd IFIP Conference on Artificial Intelligence Applications and Innovations

Y2 - 7 June 2006 through 9 June 2006

ER -

Supporting Semi-Automatic Semantic Annotation of Multimedia Resources

Abstract

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Conference

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