Novel Mania: A semantic search engine for Urdu

Ayaz, Bisma; Altaf, Wajiha; Sadiq, Farah; Ahmed, Hameeza; Ismail, Muhammad Ali

doi:10.1109/icosst.2016.7838575

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…Ayaz et al [9] present a paper in which they used a resourceful mapping among semantic exploration and novels in the Urdu discipline. The novel in Urdu set up context exploration engine is the primary of its compassionate that can show a full-size position in indorsing Urdu literature.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Ontology-Based News Linking for Semantic Temporal Queries

Satti¹,

Ahmad²,

Muslim³

et al. 2023

Computers, Materials &Amp; Continua

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Daily newspapers publish a tremendous amount of information disseminated through the Internet. Freely available and easily accessible large online repositories are not indexed and are in an un-processable format. The major hindrance in developing and evaluating existing/new monolingual text in an image is that it is not linked and indexed. There is no method to reuse the online news images because of the unavailability of standardized benchmark corpora, especially for South Asian languages. The corpus is a vital resource for developing and evaluating text in an image to reuse local news systems in general and specifically for the Urdu language. Lack of indexing, primarily semantic indexing of the daily news items, makes news items impracticable for any querying. Moreover, the most straightforward search facility does not support these unindexed news resources. Our study addresses this gap by associating and marking the newspaper images with one of the widely spoken but under-resourced languages, i.e., Urdu. The present work proposed a method to build a benchmark corpus of news in image form by introducing a web crawler. The corpus is then semantically linked and annotated with daily news items. Two techniques are proposed for image annotation, free annotation and fixed cross examination annotation. The second technique got higher accuracy. Build news ontology in protégé using Ontology Web Language (OWL) language and indexed the annotations under it. The application is also built and linked with protégé so that the readers and journalists have an interface to query the news items directly. Similarly, news items linked together will provide complete coverage and bring together different opinions at a single location for readers to do the analysis themselves.

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Section: Literature Reviewmentioning

confidence: 99%

“…The newspaper online is well-indexed in English, like "The news," which can be directly queried because of well-indexed [8][9][10][11]. Urdu corpus generation is vital to improving the search and retrieving relevant results.…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based News Linking for Semantic Temporal Queries

Satti¹,

Ahmad²,

Muslim³

et al. 2023

Computers, Materials &Amp; Continua

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show abstract

“…Um exemplo do uso do SPARQL é o trabalho de Ayaz et al (2016), no qual é proposto um motor de busca semântico para romances da cultura Urdu. Neste motor de busca, as informações são representadas por meio de ontologias e consultadas utilizando-se SPARQL.…”

Section: Consulta a Base De Dados Semânticosunclassified

Aplicação de Tecnologias da Web Semântica em Motores de Busca na Internet

Rozsa

Viera

Dutra

2019

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databases, and in the elaboration of queries and the comprehension of the users' needs. We also identified different semantic search engines, usually aimed at specific purposes, rather than generic searches. It was thus verified that SW technologies are used for researchers oriented towards specific contexts, and that researchers with a general purpose use semantic approaches, but not based in the Semantic Web.

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Novel Mania: A semantic search engine for Urdu

Cited by 2 publications

References 5 publications

Ontology-Based News Linking for Semantic Temporal Queries

Ontology-Based News Linking for Semantic Temporal Queries

Aplicação de Tecnologias da Web Semântica em Motores de Busca na Internet

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