Angela Fogarolli

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Angela Fogarolli is an author.


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Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Domain independent semantic representation of multimedia presentations International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 English 2009 This paper describes a domain independent approach for semantically annotating and representing multimedia presentations. It uses a combination of techniques to automatically discover the content of the media and, though supervised or unsupervised methods, it can generate a RDF description out of it. The domain independence is achieved using Wikipedia as a source of knowledge instead of domain Ontologies. The described approach can be relevant for understanding multimedia content which can be used in Information Retrieval, categorization and summarization. 0 0
Extracting Semantics from Multimedia Content using Wikipedia English 2009 0 0
Word Sense Disambiguation based on Wikipedia Link Structure English 2009 0 0
Word sense disambiguation based on Wikipedia link structure ICSC 2009 - 2009 IEEE International Conference on Semantic Computing English 2009 In this paper an approach based on Wikipedia link structure for sense disambiguation is presented and evaluated. Wikipedia is used as a reference to obtain lexicographic relationships and in combination with statistical information extraction it is possible to deduce concepts related to the terms extracted from a corpus. In addition, since the corpus covers a representation of a part of the real world the corpus itself is used as training data for choosing the sense which best fit the corpus. 0 0
Discovering semantics in multimedia content using Wikipedia Content retrieval and filtering: Search over semi-structural Web sources
Lecture Notes in Business Information Processing English 2008 Semantic-based information retrieval is an area of ongoing work. In this paper we present a solution for giving semantic support to multimedia content information retrieval in an e-Learning environment where very often a large number of multimedia objects and information sources are used in combination. Semantic support is given through intelligent use of Wikipedia in combination with statistical Information Extraction techniques. 0 0
Intelligent mining and indexing of multi-language e-Learning material Content retrieval and filtering: Search over semi-structural Web sources
Studies in Computational Intelligence English 2008 In this paper we describe a method to automatically discover important concepts and their relationships in e-Lecture material. The discovered knowledge is used to display semantic aware categorizations and query suggestions for facilitating navigation inside an unstructured multimedia repository of e-Lectures. We report about an implemented approach for dealing with learning materials referring to the same event in different languages. The information acquired from the speech is combined with the documents such as presentation slides, which are temporally synchronized with the video for creating new knowledge through a mapping with a taxonomy representation such as Wikipedia. 0 0