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Documents authored by Khan, Anas Fahad

Document
DOI: 10.4230/OASIcs.LDK.2021.34
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

Authors: Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, and Giedrė Valūnaitė Oleškevičienė

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)

Abstract
The paper proposes an interdisciplinary approach including methods from disciplines such as history of concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative framework for detecting semantic change in multilingual historical corpora and generating diachronic ontologies as linguistic linked open data (LLOD). Initiated as a use case (UC4.2.1) within the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, the study will explore emerging trends in knowledge extraction, analysis and representation from linguistic data science, and apply the devised methodology to datasets in the humanities to trace the evolution of concepts from the domain of socio-cultural transformation. The paper will describe the main elements of the methodological framework and preliminary planning of the intended workflow.
Cite as

Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, and Giedrė Valūnaitė Oleškevičienė. HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 34:1-34:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{armaselu_et_al:OASIcs.LDK.2021.34,
  author =	{Armaselu, Florentina and Apostol, Elena-Simona and Khan, Anas Fahad and Liebeskind, Chaya and McGillivray, Barbara and Truic\u{a}, Ciprian-Octavian and Val\={u}nait\.{e} Ole\v{s}kevi\v{c}ien\.{e}, Giedr\.{e}},
  title =	{{HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{34:1--34:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.34},
  URN =		{urn:nbn:de:0030-drops-145704},
  doi =		{10.4230/OASIcs.LDK.2021.34},
  annote =	{Keywords: linguistic linked open data, natural language processing, semantic change, diachronic ontologies, digital humanities}
}
Document
DOI: 10.4230/OASIcs.CMN.2016.10
Leveraging a Narrative Ontology to Query a Literary Text

Authors: Anas Fahad Khan, Andrea Bellandi, Giulia Benotto, Francesca Frontini, Emiliano Giovannetti, and Marianne Reboul

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)

Abstract
In this work we propose a model for the representation of the narrative of a literary text. The model is structured in an ontology and a lexicon constituting a knowledge base that can be queried by a system. This narrative ontology, as well as describing the actors, locations, situations found in the text, provides an explicit formal representation of the timeline of the story. We will focus on a specific case study, that of the representation of a selected portion of Homer's Odyssey, in particular of the knowledge required to answer a selection of salient queries, formulated by a literary scholar. This work is being carried out within the framework of the Semantic Web by adopting models and standards such as RDF, OWL, SPARQL, and lemon among others.
Cite as

Anas Fahad Khan, Andrea Bellandi, Giulia Benotto, Francesca Frontini, Emiliano Giovannetti, and Marianne Reboul. Leveraging a Narrative Ontology to Query a Literary Text. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 10:1-10:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{khan_et_al:OASIcs.CMN.2016.10,
  author =	{Khan, Anas Fahad and Bellandi, Andrea and Benotto, Giulia and Frontini, Francesca and Giovannetti, Emiliano and Reboul, Marianne},
  title =	{{Leveraging a Narrative Ontology to Query a Literary Text}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{10:1--10:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.10},
  URN =		{urn:nbn:de:0030-drops-67117},
  doi =		{10.4230/OASIcs.CMN.2016.10},
  annote =	{Keywords: Ontology, Lexicon, Computational Narratology, Time, Semantic Web}
}
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