SemanTex: Semantic text exploration using document links implied by conceptual networks extracted from the texts

Suad Aldarra; Emir Muñoz; Pierre Yves Vandenbussche; Vít Nováček

SemanTex: Semantic text exploration using document links implied by conceptual networks extracted from the texts

Suad Aldarra
, Emir Muñoz
, Pierre Yves Vandenbussche
, Vít Nováček

Elsevier Labs

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	345-348
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1272
State	Published - 2014
Event	ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, a track within the 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italy Duration: Oct 21 2014 → Oct 21 2014

Cite this

@article{548ecd5a061c4c1aa8927cf738620c7a,

title = "SemanTex: Semantic text exploration using document links implied by conceptual networks extracted from the texts",

author = "Suad Aldarra and Emir Mu{\~n}oz and Vandenbussche, \{Pierre Yves\} and V{\'i}t Nov{\'a}{\v c}ek",

year = "2014",

language = "Ingl{\'e}s",

volume = "1272",

pages = "345--348",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

note = "ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, a track within the 13th International Semantic Web Conference, ISWC 2014 ; Conference date: 21-10-2014 Through 21-10-2014",

}

TY - JOUR

T1 - SemanTex

T2 - ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, a track within the 13th International Semantic Web Conference, ISWC 2014

AU - Aldarra, Suad

AU - Muñoz, Emir

AU - Vandenbussche, Pierre Yves

AU - Nováček, Vít

PY - 2014

Y1 - 2014

UR - https://www.scopus.com/pages/publications/84921883862

M3 - Artículo de la conferencia

AN - SCOPUS:84921883862

SN - 1613-0073

VL - 1272

SP - 345

EP - 348

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 21 October 2014 through 21 October 2014

ER -

SemanTex: Semantic text exploration using document links implied by conceptual networks extracted from the texts

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