Multimedia Information Extraction in Ontology-based Semantic Annotation of Product Catalogues
نویسندگان
چکیده
—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 empowered by the synergetic use and extension of a domain ontology. The methodology was implemented in the Trade Fair Advanced Semantic Annotation Pipeline of the VIKE-framework.
منابع مشابه
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 availability of a considerable amount of semantically annotated documents. Facing this bootstrapping p...
متن کاملCross Document Ontology based Information Extraction for Multimedia Retrieval
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 annotation of sources. The innovative aspect is the use of a cross document merging algorithm that combines...
متن کاملLinguistic Annotation for the Semantic Web
Establishing the semantic web on a large scale implies the widespread annotation of web documents with ontology-based knowledge markup. For this purpose, tools have been developed that allow for semi-automatic annotation of web documents with ontology-based metadata. However, given that a large number of web documents consist either fully or at least partially of free text, language technology ...
متن کاملTowards Cross-Media Feature Extraction
In this paper we describe past and present work dealing with the use of textual resources, out of which semantic information can be extracted in order to provide for semantic annotation and indexing of associated image or video material. Since the emergence of semantic web technologies and resources, entities, relations and events extracted from textual resources by means of Information Extract...
متن کاملBootstrapping Ontology Evolution with Multimedia Information Extraction
This chapter summarises the approach and main achievements of the research project BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction). BOEMIE introduced a new approach towards the automation of knowledge acquisition from multimedia content. In particular, it developed and demonstrated the notion of evolving multimedia ontologies, which is used for the extraction, f...
متن کامل