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NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Enti...

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Enti...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4d862ae2df774484bb45862c260fa497

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense

About this item

Full title

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense

Publisher

Basel: MDPI AG

Journal title

Big data and cognitive computing, 2021-12, Vol.5 (4), p.59

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of the content or what it indicates. Many researchers tried to improve IR systems either using the...

Alternative Titles

Full title

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4d862ae2df774484bb45862c260fa497

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4d862ae2df774484bb45862c260fa497

Other Identifiers

ISSN

2504-2289

E-ISSN

2504-2289

DOI

10.3390/bdcc5040059

How to access this item