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34
Multimedia Information Extraction in Ontology-based Semantic Annotation of Product Catalogues
, 2006
"... The demand for efficient methods for extracting knowledge from multimedia content has led to a growing research community investigating the convergence of multimedia and knowledge technologies. In this paper we describe a methodology for extracting multimedia information from product catalogues emp ..."
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The demand for efficient methods for extracting knowledge from multimedia content has led to a growing research community investigating the convergence of multimedia and knowledge technologies. In this paper we describe a methodology for extracting multimedia information from product catalogues
Cross Document Ontology based Information Extraction for Multimedia Retrieval
- In Supplementary proceedings of the ICCS03, July 012003
, 2003
"... This paper describes the MUMIS project, which applies ontology based Information Extraction to improve the results of Information Retrieval in multimedia archives. It makes use of a domain specific ontology, multilingual lexicons and reasoning algorithms to automatically create a semantic annota ..."
Abstract
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Cited by 10 (0 self)
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This paper describes the MUMIS project, which applies ontology based Information Extraction to improve the results of Information Retrieval in multimedia archives. It makes use of a domain specific ontology, multilingual lexicons and reasoning algorithms to automatically create a semantic
Multimedia Annotation System for Intelligent Search*
"... In this paper we present an overview of the intelligent multimedia annotation and search system MetaOn. The core objective is to construct and integrate semantically rich metadata, extracted from documents and images, to facilitate intelligent search and analysis. The proposed MetaOn framework invol ..."
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involves, ontology-based information extraction and data mining, semi-automatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata management. The Hellenic history has been chosen as a challenging application case study.
A Mechanism for Propagation of Semantic Annotations of Multimedia Content
"... Abstract — Scientific research is producing and consuming large volumes of multimedia data at an ever growing rate. Data annotations are used, among others, to provide context information and enhance content management, making it easier to interpret and share data. However, raw multimedia data often ..."
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annotations, in parallel to the data transformation processes, thereby alleviating the overhead and decreasing the errors introduced by manual annotation. This helps the construction of new annotated multimedia data sets, preserving contextual information. The solution is based on: (i) the notion of semantic
BNOSA: A Bayesian Network and Ontology based Semantic Annotation Framework
"... The paper presents a semantic annotation framework that is capable of extracting relevant information from unstructured, ungrammatical and incoherent data sources. The framework, named BNOSA, uses ontology to conceptualize a problem domain and to extract data from the given corpora, and Bayesian net ..."
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Cited by 2 (0 self)
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The paper presents a semantic annotation framework that is capable of extracting relevant information from unstructured, ungrammatical and incoherent data sources. The framework, named BNOSA, uses ontology to conceptualize a problem domain and to extract data from the given corpora, and Bayesian
Ontology Learning and Semantic Annotation: a Necessary Symbiosis
"... Semantic annotation of text requires the dynamic merging of linguistically structured information and a “world model”, usually represented as a domain-specific ontology. On the other hand, the process of engineering a domain ontology through semi-automatic ontology learning system requires the avail ..."
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linguistic information to be annotated and further knowledge layers to be extracted. The presented methodology is a first step in the direction of a full “virtuous ” circle where the semantic annotation platform and the evolving ontology interact in symbiosis. As a case study we have chosen the semantic
Multilingual Cataloguing of Product Information of Specific Domains: Case Mkbeem System
- in Vehicular Traffic Science
, 2003
"... This paper describes the Cataloguing Tool of the Mkbeem multilingual eCommerce mediation system. The Cataloguing Tool is used by product suppliers to provide necessary product information in a form required by the mediation system. The relevant information includes product articles that are maintain ..."
Abstract
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Cited by 4 (3 self)
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along to an ontological product model and automatic classification of products based on their properties and ontology models. This paper describes the Cataloguing Tool and discusses in more detail about the use of ontologies in automatic interpretation of the semantics of product articles and user
Classical Art Semantics Information Extraction: CASIE Pilot Project
"... Abstract. The paper discusses the application of Natural Language Processing (NLP) techniques in the context of semantic annotation of classical art text via rule-based Information Extraction (IE) techniques combined with ontological and domain vocabulary input. The CASIE (Classical Art Semantics In ..."
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Abstract. The paper discusses the application of Natural Language Processing (NLP) techniques in the context of semantic annotation of classical art text via rule-based Information Extraction (IE) techniques combined with ontological and domain vocabulary input. The CASIE (Classical Art Semantics
Semi-Automatic, “DataDriven Construction of Multimedia Ontologies
- Proc. IEEE Intl. Conf. on Multimedia and Expo (ICME
, 2003
"... In this paper we investigate semi-automatic construction of multimedia ontologies using a data-driven approach. We start with a collection of videos for which we wish to build an ontology (an explicit specification of a domain). Each video is pre-processed: scene cut detection, automatic speech reco ..."
Abstract
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Cited by 37 (2 self)
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recognition (ASR), and metadata extraction are performed. In addition we automatically index the videos based on visual content by extracting syntactic (e.g., color, texture, etc.) and semantic features (e.g., face, landscape, etc.). We then combine standard tools for ontology engineering and tools in content-based
DEPARTAMENTO DE INFORM ÁTICA Improving Semantic Similarity for Proteins based on the Gene Ontology
"... One of the current challenges in the Life Sciences is to extract the knowledge contained in the vast amount of data that the genomic and post-genomic techniques are producing. One of the major efforts in this area was the development of the Gene Ontology (GO), a BioOntology that contains terms that ..."
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that describe gene products, organized in a graph structure. Gene products annotated with ontology terms can be compared according to them. This process is called semantic similarity and it is based on the structure of the BioOntology and the relations between its terms, focusing either on a structural
Results 1 - 10
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34
