Representing document semantics by means of graphs
作者： Erika Velazquez-Garcia , Ivan Lopez-Arevalo , Victor Jesus Sosa-Sosa
DOI: 10.1109/ICEEE.2011.6106654
关键词:
摘要: Text files (documents) are the principal means for representing information and knowledge in several domains. Commonly, users store documents increasely hard disks or online sotarge units. The follow a personal organization based on one topic, but can contain topics. Current search engines file name content, word part of such must exactly match. This paper proposes method document semantics taking into account topics that contain. For this, meta-graph is generated considering synonyms, hyponyms, hypernyms from relevant terms contained documents. proposal have been compared against Google Desktop with interesting results.
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