3 Search Results for "Colàs, Joaquim"

Document
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DOI: 10.4230/TGDK.1.1.11
How Does Knowledge Evolve in Open Knowledge Graphs?

Authors: Axel Polleres, Romana Pernisch, Angela Bonifati, Daniele Dell'Aglio, Daniil Dobriy, Stefania Dumbrava, Lorena Etcheverry, Nicolas Ferranti, Katja Hose, Ernesto Jiménez-Ruiz, Matteo Lissandrini, Ansgar Scherp, Riccardo Tommasini, and Johannes Wachs

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 1

Abstract
Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the collective management of evolving knowledge. The present work aims t o provide an analysis of the obstacles related to investigating and processing specifically this central aspect of evolution in KGs. To this end, we discuss (i) the dimensions of evolution in KGs, (ii) the observability of evolution in existing, open, collaboratively constructed Knowledge Graphs over time, and (iii) possible metrics to analyse this evolution. We provide an overview of relevant state-of-the-art research, ranging from metrics developed for Knowledge Graphs specifically to potential methods from related fields such as network science. Additionally, we discuss technical approaches - and their current limitations - related to storing, analysing and processing large and evolving KGs in terms of handling typical KG downstream tasks.
Cite as

Axel Polleres, Romana Pernisch, Angela Bonifati, Daniele Dell'Aglio, Daniil Dobriy, Stefania Dumbrava, Lorena Etcheverry, Nicolas Ferranti, Katja Hose, Ernesto Jiménez-Ruiz, Matteo Lissandrini, Ansgar Scherp, Riccardo Tommasini, and Johannes Wachs. How Does Knowledge Evolve in Open Knowledge Graphs?. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 11:1-11:59, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{polleres_et_al:TGDK.1.1.11,
  author =	{Polleres, Axel and Pernisch, Romana and Bonifati, Angela and Dell'Aglio, Daniele and Dobriy, Daniil and Dumbrava, Stefania and Etcheverry, Lorena and Ferranti, Nicolas and Hose, Katja and Jim\'{e}nez-Ruiz, Ernesto and Lissandrini, Matteo and Scherp, Ansgar and Tommasini, Riccardo and Wachs, Johannes},
  title =	{{How Does Knowledge Evolve in Open Knowledge Graphs?}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{11:1--11:59},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.1.1.11},
  URN =		{urn:nbn:de:0030-drops-194855},
  doi =		{10.4230/TGDK.1.1.11},
  annote =	{Keywords: KG evolution, temporal KG, versioned KG, dynamic KG}
}
Document
DOI: 10.4230/OASIcs.CMN.2014.209
Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors

Authors: Alan Tapscott, Joaquim Colàs, Ayman Moghnieh, and Josep Blat

Published in: OASIcs, Volume 41, 2014 Workshop on Computational Models of Narrative

Abstract
We propose a modified Entity Relationship (E-R) model, traditionally used for software engineering, to structure, store and share plot data. The flexibility of E-R modelling has been demonstrated by its decades of usage in a wide variety of situations. The success of the E-R model suggests that it could be useful for collaborating fiction authors, adding a certain degree of computational power to their process. We changed the E-R model syntax to better suit the story plans, switching the emphasis from generic types to instanced story entities, but preserving relationships and attributes. We conducted a small-scale basic experiment to study the impact of using our modified E-R model on authors when understanding and contributing into a pre-existing fiction story plan. The results analysis revealed that the E-R model supports authors as effectively as written text in reading comprehension, memory, and contributing. In addition, the results show that, when combined together, the written text and the E-R model help participants achieve better comprehension--always within the frame of our experiment. We discuss potential applications of these findings.
Cite as

Alan Tapscott, Joaquim Colàs, Ayman Moghnieh, and Josep Blat. Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 209-221, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{tapscott_et_al:OASIcs.CMN.2014.209,
  author =	{Tapscott, Alan and Col\`{a}s, Joaquim and Moghnieh, Ayman and Blat, Josep},
  title =	{{Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  pages =	{209--221},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.209},
  URN =		{urn:nbn:de:0030-drops-46588},
  doi =		{10.4230/OASIcs.CMN.2014.209},
  annote =	{Keywords: storytelling, story planning, Entity Relationship Model}
}
Document
DOI: 10.4230/OASIcs.CMN.2013.277
Writing Consistent Stories based on Structured Multi-Authored Narrative Spaces

Authors: Alan Tapscott, Joaquim Colàs, Ayman Moghnieh, and Josep Blat

Published in: OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative

Abstract
Multi-authoring is currently a common practice in the field of contemporary storytelling but producing consistent stories that share a common narrative space when multiple authors are involved is not a trivial task. Inconsistencies, which are not always well-received by readers are sometimes expensive to fix. In this work we attempt to improve the consistency of stories and narrative spaces by introducing a set of rules based on a formal model. Such a model takes into account the reader’s concept of consistency in storytelling, and acts as a framework for building tools to construct stories grounded in a common narrative space with a reinforced sense of consistency. We define a model (the Setting) and deploy it through a tool (CrossTale); both based on previous research, and discuss some user evaluation, with an in-depth analysis of the results and their implications.
Cite as

Alan Tapscott, Joaquim Colàs, Ayman Moghnieh, and Josep Blat. Writing Consistent Stories based on Structured Multi-Authored Narrative Spaces. In 2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. 277-292, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{tapscott_et_al:OASIcs.CMN.2013.277,
  author =	{Tapscott, Alan and Col\`{a}s, Joaquim and Moghnieh, Ayman and Blat, Josep},
  title =	{{Writing Consistent Stories based on Structured Multi-Authored Narrative Spaces}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  pages =	{277--292},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Finlayson, Mark A. and Fisseni, Bernhard and L\"{o}we, Benedikt and Meister, Jan Christoph},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2013.277},
  URN =		{urn:nbn:de:0030-drops-41585},
  doi =		{10.4230/OASIcs.CMN.2013.277},
  annote =	{Keywords: storytelling, collaborative, consistency, narrative space}
}
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