A weight-based approach to information retrieval and relevance feedback

Liao, Yi-Chun

doi:10.1016/j.eswa.2007.06.032

Cited by 5 publications

(2 citation statements)

References 24 publications

(20 reference statements)

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“…Mapping text to lexical resources like ontologies, thesaurus,and dictionaries is the first and the most important effort to specify text semantic domain. Because this mapping not only formalize the text message [6], but also provides other algorithms with a formal basis to process the text and its message according to the knowledge formalized in the ontology. Regardless of secondary processing, the main purpose of the matching document to lexical resources is to solve the problem of natural language ambiguity.…”

Section: Related Workmentioning

confidence: 99%

A Noval Information Management Method of Text Recognition Based on Ontology Semantic Domain

Wang

2013

AMM

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In today's network environment, the semantic gap between machine language and human language is the most important challenge of information management. Processing of text plays an important role in information management and knowledge management. In this paper, a proposed method shows how a text is related to its background knowledge. By background knowledge, People mean the parts of domain ontology which are not expressed in the text, but are shared by the creator and potential readers. Given the text-ontology mapping, people may discover the semantic domain of a text and how the text covers the domain knowledge. The semantic relatedness between the concepts mentioned in a text, as a whole unit,and the other concepts of the domain should be measured. This measure is based on the semantic relations defined by the ontology among its concepts. The experimental results prove that proposed method presents better overall performance and is natural way to improve retrieval results of users needed.

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Section: Related Workmentioning

confidence: 99%

A Noval Information Management Method of Text Recognition Based on Ontology Semantic Domain

Wang

2013

AMM

View full text Add to dashboard Cite

show abstract

“…Because this mapping not only formalize thetext message [7]- [10], but also provides other algorithms with a formal basis to process the text and its message according to the knowledge formalized in the ontology [1], [11], [12]. Regardless of secondary processing, the main purpose of the matching document to lexical resources is to solve the problem of natural language ambiguity [9], [10], [13].…”

Section: Related Workmentioning

confidence: 99%