The Experts below are selected from a list of 143736 Experts worldwide ranked by ideXlab platform
Huowang Chen - One of the best experts on this subject based on the ideXlab platform.
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WISE Workshops - Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protege to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
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Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Jianhua Liu, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protégé to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
Ting Wang - One of the best experts on this subject based on the ideXlab platform.
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WISE Workshops - Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protege to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
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Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Jianhua Liu, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protégé to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
Carsten Saathoff - One of the best experts on this subject based on the ideXlab platform.
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Integrating Multimedia Metadata Standarts and Metadata Formats with the Multimedia Metadata Ontology: Method and Examples
2012Co-Authors: Ansgar Scherp, Daniel Eißing, Carsten SaathoffAbstract:The Multimedia Metadata Ontology (M3O) provides a generic modeling framework for representing multimedia Metadata. It has been designed based on an analysis of existing Metadata standards and Metadata formats. The M3O abstracts from the existing Metadata standards and formats and provides generic modeling solutions for annotations, decompositions, and provenance of Metadata. Being a generic modeling framework, the M3O aims at integrating the existing Metadata standards and Metadata formats rather than replacing them. This is in particular useful as today's multimedia applications often need to combine and use more than one existing Metadata standard or Metadata format at the same time. However, applying and specializing the abstract and powerful M3O modeling framework in concrete application domains and integrating it with existing Metadata formats and Metadata standards is not always straightforward. Thus, we have developed a step-by-step alignment method that describes how to integrate existing multimedia Metadata standards and Metadata formats with the M3O in order to use them in a concrete application. We demonstrate our alignment method by integrating seven different existing Metadata standards and Metadata formats with the M3O and describe the experiences made during the integration process.
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A METHOD FOR INTEGRATING MULTIMEDIA Metadata STANDARDS AND Metadata FORMATS WITH THE MULTIMEDIA Metadata ONTOLOGY
International Journal of Semantic Computing, 2012Co-Authors: Ansgar Scherp, Daniel Eißing, Carsten SaathoffAbstract:The M3O abstracts from the existing Metadata standards and formats and provides generic modeling solutions for annotations, decompositions, and provenance of Metadata. Being a generic modeling framework, the M3O aims at integrating the existing Metadata standards and Metadata formats rather than replacing them. This is in particular useful as today's multimedia applications often need to combine and use more than one existing Metadata standard or Metadata format at the same time. However, applying and specializing the abstract and powerful M3O modeling framework in concrete application domains and integrating it with existing Metadata formats and Metadata standards is not always straightforward. Thus, we have developed a step-by-step alignment method that describes how to integrate existing multimedia Metadata standards and Metadata formats with the M3O in order to use them in a concrete application. We demonstrate our alignment method by integrating seven different existing Metadata standards and Metadata formats with the M3O and describe the experiences made during the integration process.
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SAMT - Integration of existing multimedia Metadata formats and Metadata standards in the M3O
Semantic Multimedia, 2010Co-Authors: Daniel Eißing, Ansgar Scherp, Carsten SaathoffAbstract:With the Multimedia Metadata Ontology (M3O), we have developed a sophisticated model for representing among others the annotation, decomposition, and provenance of multimedia Metadata. The goal of the M3O is to integrate existing Metadata standards and Metadata formats rather than replacing them. To this end, the M3O provides a scaffold needed to represent multimedia Metadata. Being an abstract model for multimedia Metadata, it is not straightforward how to use and specialize the M3O for concrete application requirements and existing Metadata formats and Metadata standards. In this paper, we present a step-by-step alignment method describing how to integrate and leverage existing multimedia Metadata standards and Metadata formats in the M3O in order to use them in a concrete application. We demonstrate our approach by integrating three existing Metadata models: the Core Ontology on Multimedia (COMM), which is a formalization of the multimedia Metadata standard MPEG-7, the Ontology for Media Resource of theW3C, and the widely known industry standard EXIF for image Metadata.
Yang Yu - One of the best experts on this subject based on the ideXlab platform.
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WISE Workshops - Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protege to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
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Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Jianhua Liu, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protégé to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
Ji Wang - One of the best experts on this subject based on the ideXlab platform.
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WISE Workshops - Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protege to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.
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Metadata Pro: Ontology-Based Metadata Processing for Web Resources
Web Information Systems – WISE 2004 Workshops, 2004Co-Authors: Ting Wang, Jianhua Liu, Rui Shen, Ji Wang, Yang Yu, Huowang ChenAbstract:Metadata is the foundation of Semantic Web. The Metadata Pro project seeks to build a Metadata processing platform for web resource. The system architecture has three key components– Metadata Extraction, Ontology Management, and Metadata Retrieval. The system can automatically extract Metadata about web resource: if the web resource itself contains Metadata, extracts them; otherwise, automatically generates the Metadata for the resource according to Dublin Core by applying automatic keyword extraction and text summarization techniques. To manage the Metadata, Metadata Pro integrates Protégé to create domain ontology, makes use of HowNet to help ontology construction, and provides an ontology-based Metadata retrieval.