2013
DOI: 10.1007/s11042-013-1463-3
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Conceptual and content-based annotation of (multimedia) documents

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Cited by 11 publications
(5 citation statements)
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“…This remark is valid in general, independently from the type of formalization used see, to give only an example, the story trees of Mani and Pustejovsky (2004). A recent paper dealing in detail with the NKRL approach to the formalization of the connectivity phenomena, the syntax and semantics of the associations of elementary events, the binding operators and related topics is Zarri (2014a). An example of formalization of a scenario including several elementary events can be found in Zarri (2014b) 5 .…”
Section: Figmentioning
confidence: 98%
“…This remark is valid in general, independently from the type of formalization used see, to give only an example, the story trees of Mani and Pustejovsky (2004). A recent paper dealing in detail with the NKRL approach to the formalization of the connectivity phenomena, the syntax and semantics of the associations of elementary events, the binding operators and related topics is Zarri (2014a). An example of formalization of a scenario including several elementary events can be found in Zarri (2014b) 5 .…”
Section: Figmentioning
confidence: 98%
“…In a semantic annotation context, the trend is to move from a simple "keyword" approach to a "metadata" approach. Metadata can be defined in general as machine-readable structured collections of lexical items to be used to express statements about the organization and content of some sets of digital or non-digital documents (ZARRI, 2014). Thus, to perform the semantic analysis of the keyword in an ambiguous search, from a word that has more than one meaning, inserted by users, an ontological knowledge base built on refined metadata is required to provide accurate search results (LEE et al, 2018).…”
Section: Semantic Portalsmentioning
confidence: 99%
“…In the last decade, the emerging technologies for media indexing and retrieval, mainly geared to multimedia contents, have addressed the markup of narrative texts, thus prompting a number of initiatives that leverage structured semantic representations. In particular, the pioneering Narrative Knowledge Representation Language (NKRL) project combines the use of markup for the encoding of the narrative content of text with the use of frames to represent the narrated story incidents (Zarri, 1997(Zarri, , 2014. As part of the more general trend of constructing resources for the automation of language processing, Elson introduced a template-based language for describing the content of narrative texts, with the goal of creating a corpus of annotated stories, called DramaBank (Elson, 2012).…”
Section: Background and Motivationsmentioning
confidence: 99%