About: Document Re-ranking by Generality in Bio-medical Information Retrieval

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Document Re-ranking by Generality in Bio-medical Information Retrieval
Creator	Li, Xue Yan, Xin Song, Dawei
source	PMC
abstract	Document ranking is an important process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document ranking methods are mostly based on the similarity computations between documents and query. In this paper we argue that the similarity-based document ranking is insufficient in some cases. There are two reasons. Firstly it is about the increased information variety. There are far too many different types documents available now for user to search. The second is about the users variety. In many cases user may want to retrieve documents that are not only similar but also general or broad regarding a certain topic. This is particularly the case in some domains such as bio-medical IR. In this paper we propose a novel approach to re-rank the retrieved documents by incorporating the similarity with their generality. By an ontology-based analysis on the semantic cohesion of text, document generality can be quantified. The retrieved documents are then re-ranked by their combined scores of similarity and the closeness of documents’ generality to the query’s. Our experiments have shown an encouraging performance on a large bio-medical document collection, OHSUMED, containing 348,566 medical journal references and 101 test queries.
has issue date	2005-01-01(xsd:dateTime)
bibo:doi	10.1007/11581062_28
has license	no-cc
sha1sum (hex)	f53f6327ea6f1fa178f83d7870cad8ca33f262c4
schema:url	https://doi.org/10.1007/11581062_28
resource representing a document's title	Document Re-ranking by Generality in Bio-medical Information Retrieval
has PubMed Central identifier	PMC7121049
schema:publication	Web Information Systems Engineering - WISE 2005
resource representing a document's body	covid:f53f6327ea6f1fa178f83d7870cad8ca33f262c4#body_text
is schema:about of	named entity 'document' named entity 'argue' named entity 'scores' named entity 'retrieved' named entity 'text' »more»

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