Difference between revisions of "A Disambiguation Resource Extracted from Wikipedia for Semantic Annotation"
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| − | '''A Disambiguation Resource Extracted from Wikipedia for Semantic Annotation''' - scientific work related to Wikipedia quality published in 2012, written by Eric Charton and Michel Gagnon. | + | '''A Disambiguation Resource Extracted from Wikipedia for Semantic Annotation''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Eric Charton]] and [[Michel Gagnon]]. |
== Overview == | == Overview == | ||
| − | The Semantic Annotation (SA) task consists in establishing the relation between a textual entity (word or group of words designating a named entity of the real world or a concept) and its corresponding entity in an ontology. The main difficulty of this task is that a textual entity might be highly polysemic and potentially related to many different ontological representations. To solve this specific problem, various Information Retrieval techniques can be used. Most of those involves contextual words to estimate wich exact textual entity have to be recognized. In this paper, authors present a resource of contextual words that can be used by IR algorithms to establish a link between a named entity (NE) in a text and an entry point to its semantic description in the LinkedData Network. | + | The Semantic Annotation (SA) task consists in establishing the relation between a textual entity (word or group of words designating a [[named entity]] of the real world or a concept) and its corresponding entity in an [[ontology]]. The main difficulty of this task is that a textual entity might be highly polysemic and potentially related to many different ontological representations. To solve this specific problem, various Information Retrieval techniques can be used. Most of those involves contextual words to estimate wich exact textual entity have to be recognized. In this paper, authors present a resource of contextual words that can be used by IR algorithms to establish a link between a named entity (NE) in a text and an entry point to its semantic description in the LinkedData Network. |
Revision as of 20:02, 25 May 2019
A Disambiguation Resource Extracted from Wikipedia for Semantic Annotation - scientific work related to Wikipedia quality published in 2012, written by Eric Charton and Michel Gagnon.
Overview
The Semantic Annotation (SA) task consists in establishing the relation between a textual entity (word or group of words designating a named entity of the real world or a concept) and its corresponding entity in an ontology. The main difficulty of this task is that a textual entity might be highly polysemic and potentially related to many different ontological representations. To solve this specific problem, various Information Retrieval techniques can be used. Most of those involves contextual words to estimate wich exact textual entity have to be recognized. In this paper, authors present a resource of contextual words that can be used by IR algorithms to establish a link between a named entity (NE) in a text and an entry point to its semantic description in the LinkedData Network.
