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67 Research products

  • Digital Humanities and Cultural Heritage
  • 2014-2023
  • Research software
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  • Digital Humanities and Cultural Heritage
  • NEANIAS Space Research Community

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  • Authors: Roumana, Antigoni - Marina;
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  • Authors: Qi, Ji; Ceolin, Davide; Keshavarzi Zafarghandi, Atefeh;

    This work is an open-source Python package that implements a pipeline of processing, analyzing, and visualizing an argument corpus and the attacking relationship inside the corpus. It also implements the corresponding GUIs on a scientific workflow platform named Orange3, so that users with little knowledge of Python programming can also benefit from it.

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    Authors: Rettberg, Jill Walker; Berry, David M.; Borra, Erik; Helmond, Anne; +1 Authors

    This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.

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  • Authors: Sammour, Karim; Fleury, Philippe; Lefèvre, Nicolas; Morineau, Charlie; +2 Authors

    Le 3 décembre 2014, dans le cadre du séminaire de l'ERLIS Les Nocturnes du Plan de Rome, a été donnée à l'Université de Caen la conférence intitulée : Les Poliorcétiques d'Apollodore de Damas.Résumé de la conférence : Les « traités » (Commentarii) dans l’Antiquité tiennent une place centrale dans la transmission des sciences et des techniques. Agriculture, architecture, mécanique, stratégie, chaque domaine impliquant un savoir se transmet par un « traité ». Apollodore de Damas, célèbre ingénieur de l’empereur Trajan, adresse un traité de poliorcétique (art de mener un siège) à Hadrien, successeur de Trajan. La séance présentera l’ingénieur et ses créations. Les « traités » les plus célèbres de l’Antiquité seront abordés afin de se familiariser avec les ingénieurs les plus importants. Enfin, grâce à de nouvelles méthodes de présentation utilisant la restitution virtuelle, il sera possible d’analyser les descriptions d’Apollodore de Damas et d’accéder directement à une source ancienne.

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    Authors: Nieminen, Topi;

    Uudet teknologiat otetaan vastaan usein tunneperäisesti, toiset ovat kiinnostuneita, toiset epäilevät. Uudet keksinnöt ja teknologiat oikein käytettyinä avaavat meille uuden maailman, tehostavat toimintoja, lisäävät luovuutta ja mahdollistavat asioita. Tämän työn tilaajat olivat sovelluskehitysyhteisö Viastar ja kulttuurialan toimija Carnivale. Tilaajia kiinnostavat uudet teknologiat kulttuuriperinnön sovelluksissa ja hankkeissa. Tämä kehittämistyö tutki ja tarkasteli, miten voimme paremmin hyödyntää uusia teknologioita sukututkimuksen apuna. Työssä tutkittiin, miten voimme yhdistää perinteisen ja DNA-analyysiin pohjautuvan sukututkimuksen. Tässä työssä käytiin myös läpi muita uusia teknologioita, joita voidaan hyödyntää sukuhistorian ja kulttuuriperinnön tallennuksessa, tutkimuksessa sekä myös yleisemmin kulttuurituotantojen tukena. Kehittämistyötä tehtiin tutkimalla ja kokeilemalla uusia teknologioita sekä käymällä läpi laajasti opinnäytetyön tekijän sukuun liittyviä sukututkimuksia ja niiden kautta esiin tullutta kulttuuriperintöä, vanhoja kuvia, karttoja ja paikkoja. Geneettisen sukututkimuksen avulla tutkittiin isä- ja äitilinjoja eri tekniikoilla ja jäljitettiin eri sukujen kulkureittejä menneiden vuosisatojen aikoina. Tässä opinnäytetyössä analysoitiin tekijän omasta suvusta teetettyjen DNA-testien tuloksia ja osoitettiin, miten ne toimivat käytännössä sukututkimuksen välineinä. Tässä työssä käsiteltyjä muita kulttuurituotannon tekniikoita olivat drone-kuvaus, lidar-kuvaus, virtuaali- ja lisätty todellisuus. Tutkimusmenetelminä käytettiin aineistotutkimusta, DNA-testejä, havainnointia, haastattelua ja kenttätyötä kokeilemalla käytännössä erilaisissä ympäristöissä uusia teknisiä välineitä. Työn tuloksina todettiin, että uudet tekniikat toimivat sukututkimuksessa ja kulttuuriperinnön tallentamisessa erittäin hyvin. Uudet tekniikat avaavat uusia sisältöjä ja osallistavat kulttuurin tuottajan sekä kuluttajan tuotantoihin syvällisesti. Toimenpide-ehdotuksena esitettiin, että sukututkimuksessa ja kulttuurituotannoissa otettaisiin rohkeasti uusia tekniikoita laajasti käyttöön toiminnan parantamiseksi ja tehostamiseksi. New technologies are often embraced emotionally: others show interest and others doubt. It is a fact that new inventions and technologies, when used properly, open up new worlds for us, streamline operations, increase creativity and enable things. This thesis was commissioned by the application development company Viastar and the cultural sector enterprise Carnivale. Both commissioners are interested in new technologies on cultural heritage applications and projects. The objective of this study was to explore and examine how new technologies can better be utilized in genealogy. The study explored how to combine traditional and genetic genealogy research. It also reviewed some other new innovative technologies that can be used on cultural heritage research and in cultural productions. The study was carried out by exploring and experimenting new technologies and going through extensive genealogy and cultural heritage materials, old images, maps, and places that have emerged through genealogy research. In terms of genetic genealogy, lineages have been studied using different DNA techniques and the pathways of different genera have been traced over the past centuries. The study analyzed the DNA research results from the author's own lineage and show how they work in practice as a tool for genealogy. Other cultural production techniques covered in this study include drone imaging, lidar imaging, as well as virtual and augmented reality. The research methods used were document analysis, observation, interview and fieldwork by experimenting new technical tools in different environments. The results indicate that the new technologies work very well in genealogy and in saving cultural heritage. New technologies open up new content and deeply involve producers, researchers and cultural consumers in productions. The thesis proposes that genealogists and cultural sector make widespread use of new technologies to improve and increase their efficiency.

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    Theseus
    2022
    Data sources: Theseus
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      Theseus
      2022
      Data sources: Theseus
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    Authors: Muller, Julien;

    Ce jeu de données contient des données enrichies sur les membres du Bureau des longitudes, de la création de cette institution scientifique en 1795, jusqu'à 1970 (pour la dernière date d'entrée).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DOREL - Université d...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DOREL - Université d...arrow_drop_down
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    Authors: Vilks, Ilgonis;

    Previosusly it was thought that no picture of the first telescope installed at the Astronomical Tower of the University of Latvia was preserved. During thorough search at the Museum of the University of Latvia a single picture of the telescope was found. This video explains how the picture was found. Agrāk domāja, ka Latvijas Universitātes Astronomiskā torņa pirmā teleskopa fotogrāfija nav saglabājusies. Veicot rūpīgus meklējumus Latvijas Universitātes Muzejā, tika atrasta vienīgā teleskopa fotogrāfija. Video paskaidro, kā tā tika atrasta.

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  • Authors: Stražar, Martin; Čopar, Andrej; Curk, Tomaž; Toplak, Marko; +8 Authors

    Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics.

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    bio.tools
    Software . 2015
    License: GPL-3.0
    Data sources: bio.tools
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      bio.tools
      Software . 2015
      License: GPL-3.0
      Data sources: bio.tools
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Zhang, Xiaoyu;

    In the past decade, the proliferation of data and the emergence of large language models have presented both opportunities and challenges in academia. The expanding volume of data, which records knowledge from various human activities, enables data-driven approaches to optimizing numerous aspects of industrial manufacturing and people's daily life. These improvements largely stem from machine learning models trained with this data. However, the industry still faces limitations in both extracting knowledge from large, unstructured, or heterogeneous datasets and transforming the extracted knowledge into actionable insights. This challenge is exacerbated in highly specialized domains where only a few analysts possess the expertise to interpret the data. Despite the recent advancements of large language models providing more intelligent assistance for many data analysis tasks, it remains essential to ensure that these machine learning models and the knowledge they encompass are safe to use and employed for social good with human verification.In my dissertation work, I develop visual analytics (VA) and human-computer interaction (HCI) methodologies for representing and interacting with various forms of knowledge and data, particularly text data. I propose a visual knowledge discovery framework that integrates human expertise with computational approaches throughout the knowledge discovery process, while also addressing the limited availability of domain experts and the increasing scale of data. Moreover, I investigate how visual analytics can efficiently and safely harness extensive knowledge from large machine learning models, enabling users to effectively steer the exploration process and make well-informed decisions. This dissertation presents six published research works organized around my visual knowledge discovery framework and its three key tasks: knowledge exploration, knowledge presentation, and knowledge exploitation. Firstly, I demonstrate how visual analytics can support knowledge exploration with large, high-dimensional, and heterogeneous data in the domain of manufacturing and machine maintenance. Subsequently, I introduce two knowledge presentation solutions for two distinct types of data—numerical data facts and unstructured text data. Lastly, I showcase three visually-assisted knowledge exploitation applications in various domains and scenarios, encompassing document summarization, technical text annotation, and data-driven machine learning model validation.My work demonstrates how mixed-initiative methods through visual analytics applications can resolve real-world challenges in highly-specialized domains. I leverage state-of-the-art machine learning techniques, particularly natural language processing models, while always involving domain practitioners in the loop. My approach facilitates communication among parties with mismatched knowledge levels, including domain experts, data analysts, computer scientists, and artificial intelligence. Meanwhile, I prioritize the critical role of human knowledge and integrate it into intelligent visualization interfaces that undergo qualitative evaluations. I believe that domain experts' insights, supervision, and verification are invaluable, regardless of how advanced machine learning techniques become. Through the projects outlined in this dissertation, I hope to encourage philosophical and social discussions surrounding the rapidly expanding field of artificial intelligence. Ultimately, my objective is to contribute to a future where intelligent visual analytics systems can augment and enhance human capabilities, enabling individuals to navigate through the potential challenges brought by advanced AI techniques.

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    Authors: Bellia A.; Pietroni E.;

    Può il suono aumentare il coinvolgimento dei visitatori delle ricostruzioni virtuali di contesti culturali? La loro caratterizzazione acustica quali obiettivi può perseguire? Attraverso quali metodologie e sistemi di riproduzione? Come si relazionano la filologia e la creatività ai fini della conoscenza e del coinvolgimento? Può la realtà virtuale ricreare il paesaggio sonoro del passato? Sono queste alcune delle tematiche affrontate nel corso dell'evento online curato da Angela Bellia ed Eva Pietroni all'Istituto di Scienze del Patrimonio Culturale (ISPC) del CNR. L'iniziativa si inserisce nell'ambito dell'Anno Internazionale del Suono 2020-2021 (International Year of Sound - IYS 2020-21), un'iniziativa globale riferita alla "Charter of Sound" UNESCO n. 39C/59, che ha l'obiettivo di evidenziare l'importanza del suono in tutti gli aspetti della vita e dell'ambiente naturale, nonché la necessità del controllo del rumore sia nell'ambiente urbanizzato che in quello dei luoghi di lavoro, di formazione, di accoglienza e di cura, incoraggiando anche la comprensione degli sviluppi scientifici e l'applicazione tecnologica riguardante sia gli aspetti fisici del suono sia quelli della sua percezione. Il webinar mira ad esplorare come lo sviluppo di strumenti interattivi finalizzati a coinvolgere i visitatori come "soundwalker" di ricostruzioni virtuali di siti archeologici o luoghi di interesse storico-culturale e architettonico e del loro "historical soundscape" possa aprire nuove prospettive di ricerca non soltanto sulle applicazioni di Immersive Virtual Reality, ma anche sul rapporto tra suono e interazione multisensoriale in ambiente virtuale. Infatti, nel corso degli ultimi anni, attraverso l'Immersive Virtual Reality, è stato possibile sperimentare nuove opportunità di progettazione multisensoriale che combina strumenti e tecniche di modellazione e di Virtual Reality Experience in ambito acustico con il pieno coinvolgimento dell'apparato percettivo del visitatore. Si intende, dunque, porre l'attenzione su come l'esperienza immersiva multisensoriale - ed in particolare l'interazione tra vista e udito nelle ricostruzioni virtuali, senza escludere l'apporto degli altri sensi - possa favorire una più profonda comprensione dei luoghi e degli spazi dove il suono, inteso come insieme di musica, sonorità dell'ambiente e rumori, veniva prodotto e percepito. Inoltre, stimolando l'indagine sul "sonic heritage", l'incontro ha anche lo scopo di contestualizzare e valorizzare lo studio dell'antropofonia, della geofonia e della biofonia del passato e della "digital audible history" come patrimonio culturale da conoscere, preservare e comunicare anche attraverso gli strumenti e le applicazioni per l'interazione con il mondo virtuale. Tenendo conto di quanto è emerso nel corso del progetto di ricerca STESICHOROS finanziato dale Marie Sk?odowska-Curie Actions Individual Fellowship, e delle esperienze del Virtual Heritage Lab nell'ambito della realtà virtuale e della comunicazione multimediale, saranno poste le basi per un metodo innovativo che terrà conto non soltanto delle potenzialità dell'applicazione della tecnologia 3D all'acustica virtuale, ma anche della ricerca acustemologica che considera il suono come strumento di conoscenza attraverso l'intreccio di relazioni che lo lega ai luoghi, allo spazio e al corpo, fornendo nuovi strumenti di analisi e di valutazione dell'impatto delle esperienze immersive e della comunicazione sonora nel patrimonio culturale. Si discute anche di come il suono e il "soundscape" venga usato nei vari media: realtà virtuale, videogiochi, cinema, documentario, secondo regole codificate in modo diverso, al fine di conferire credibilità e verosimiglianza allo spazio simulato, di evocare situazioni e di coinvolgere percettivamente ed emotivamente il visitatore. Queste regole, che sono ormai entrate nell'industria delle grandi produzioni, seguono principi artistici più vicini alla psico-acustica che alla riproduzione scientifica e filologica del suono, o alla sua presa diretta, nello spazio simulato. Esse sono diventate parte dei linguaggi, creando un'aspettativa, un'accettazione e un'identificazione da parte del pubblico in questi universi sonori "artificialmente costruiti". La realtà virtuale, immersiva e non immersiva, è attualmente l'ambito in cui il margine di sperimentazione resta più aperto a future evoluzioni e nuove proposte, anche all'insegna di una simulazione scientificamente fondata sulla propagazione del suono in uno spazio acustico reale o digitalmente ricostruito. Una ricerca molto interessante, in prospettiva futura, sarà testare diversi approcci di simulazione e riproduzione sonora su un campione di utenti, in relazione a varie tipologie di ambientazioni e vari media, così da analizzare il feedback in termini di percezione, impatto estetico e cognitivo, attenzione, memorizzazione. Questi argomenti saranno trattati attraverso i contributi di ricercatori impegnati in vari campi: applicazioni immersive in ambito acustico; archeologia; archaeologia del suono; antropologia del suono e acustemologia; comunicazione; design acustico; 3D modelling; ecoarcheologia; ingegneria acustica; sound arts; video games; virtual heritage.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ISPC Open Portalarrow_drop_down
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67 Research products
  • Authors: Roumana, Antigoni - Marina;
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  • Authors: Qi, Ji; Ceolin, Davide; Keshavarzi Zafarghandi, Atefeh;

    This work is an open-source Python package that implements a pipeline of processing, analyzing, and visualizing an argument corpus and the attacking relationship inside the corpus. It also implements the corresponding GUIs on a scientific workflow platform named Orange3, so that users with little knowledge of Python programming can also benefit from it.

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    Authors: Rettberg, Jill Walker; Berry, David M.; Borra, Erik; Helmond, Anne; +1 Authors

    This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.

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  • Authors: Sammour, Karim; Fleury, Philippe; Lefèvre, Nicolas; Morineau, Charlie; +2 Authors

    Le 3 décembre 2014, dans le cadre du séminaire de l'ERLIS Les Nocturnes du Plan de Rome, a été donnée à l'Université de Caen la conférence intitulée : Les Poliorcétiques d'Apollodore de Damas.Résumé de la conférence : Les « traités » (Commentarii) dans l’Antiquité tiennent une place centrale dans la transmission des sciences et des techniques. Agriculture, architecture, mécanique, stratégie, chaque domaine impliquant un savoir se transmet par un « traité ». Apollodore de Damas, célèbre ingénieur de l’empereur Trajan, adresse un traité de poliorcétique (art de mener un siège) à Hadrien, successeur de Trajan. La séance présentera l’ingénieur et ses créations. Les « traités » les plus célèbres de l’Antiquité seront abordés afin de se familiariser avec les ingénieurs les plus importants. Enfin, grâce à de nouvelles méthodes de présentation utilisant la restitution virtuelle, il sera possible d’analyser les descriptions d’Apollodore de Damas et d’accéder directement à une source ancienne.

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    Authors: Nieminen, Topi;

    Uudet teknologiat otetaan vastaan usein tunneperäisesti, toiset ovat kiinnostuneita, toiset epäilevät. Uudet keksinnöt ja teknologiat oikein käytettyinä avaavat meille uuden maailman, tehostavat toimintoja, lisäävät luovuutta ja mahdollistavat asioita. Tämän työn tilaajat olivat sovelluskehitysyhteisö Viastar ja kulttuurialan toimija Carnivale. Tilaajia kiinnostavat uudet teknologiat kulttuuriperinnön sovelluksissa ja hankkeissa. Tämä kehittämistyö tutki ja tarkasteli, miten voimme paremmin hyödyntää uusia teknologioita sukututkimuksen apuna. Työssä tutkittiin, miten voimme yhdistää perinteisen ja DNA-analyysiin pohjautuvan sukututkimuksen. Tässä työssä käytiin myös läpi muita uusia teknologioita, joita voidaan hyödyntää sukuhistorian ja kulttuuriperinnön tallennuksessa, tutkimuksessa sekä myös yleisemmin kulttuurituotantojen tukena. Kehittämistyötä tehtiin tutkimalla ja kokeilemalla uusia teknologioita sekä käymällä läpi laajasti opinnäytetyön tekijän sukuun liittyviä sukututkimuksia ja niiden kautta esiin tullutta kulttuuriperintöä, vanhoja kuvia, karttoja ja paikkoja. Geneettisen sukututkimuksen avulla tutkittiin isä- ja äitilinjoja eri tekniikoilla ja jäljitettiin eri sukujen kulkureittejä menneiden vuosisatojen aikoina. Tässä opinnäytetyössä analysoitiin tekijän omasta suvusta teetettyjen DNA-testien tuloksia ja osoitettiin, miten ne toimivat käytännössä sukututkimuksen välineinä. Tässä työssä käsiteltyjä muita kulttuurituotannon tekniikoita olivat drone-kuvaus, lidar-kuvaus, virtuaali- ja lisätty todellisuus. Tutkimusmenetelminä käytettiin aineistotutkimusta, DNA-testejä, havainnointia, haastattelua ja kenttätyötä kokeilemalla käytännössä erilaisissä ympäristöissä uusia teknisiä välineitä. Työn tuloksina todettiin, että uudet tekniikat toimivat sukututkimuksessa ja kulttuuriperinnön tallentamisessa erittäin hyvin. Uudet tekniikat avaavat uusia sisältöjä ja osallistavat kulttuurin tuottajan sekä kuluttajan tuotantoihin syvällisesti. Toimenpide-ehdotuksena esitettiin, että sukututkimuksessa ja kulttuurituotannoissa otettaisiin rohkeasti uusia tekniikoita laajasti käyttöön toiminnan parantamiseksi ja tehostamiseksi. New technologies are often embraced emotionally: others show interest and others doubt. It is a fact that new inventions and technologies, when used properly, open up new worlds for us, streamline operations, increase creativity and enable things. This thesis was commissioned by the application development company Viastar and the cultural sector enterprise Carnivale. Both commissioners are interested in new technologies on cultural heritage applications and projects. The objective of this study was to explore and examine how new technologies can better be utilized in genealogy. The study explored how to combine traditional and genetic genealogy research. It also reviewed some other new innovative technologies that can be used on cultural heritage research and in cultural productions. The study was carried out by exploring and experimenting new technologies and going through extensive genealogy and cultural heritage materials, old images, maps, and places that have emerged through genealogy research. In terms of genetic genealogy, lineages have been studied using different DNA techniques and the pathways of different genera have been traced over the past centuries. The study analyzed the DNA research results from the author's own lineage and show how they work in practice as a tool for genealogy. Other cultural production techniques covered in this study include drone imaging, lidar imaging, as well as virtual and augmented reality. The research methods used were document analysis, observation, interview and fieldwork by experimenting new technical tools in different environments. The results indicate that the new technologies work very well in genealogy and in saving cultural heritage. New technologies open up new content and deeply involve producers, researchers and cultural consumers in productions. The thesis proposes that genealogists and cultural sector make widespread use of new technologies to improve and increase their efficiency.

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    Theseus
    2022
    Data sources: Theseus
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      Theseus
      2022
      Data sources: Theseus
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    Authors: Muller, Julien;

    Ce jeu de données contient des données enrichies sur les membres du Bureau des longitudes, de la création de cette institution scientifique en 1795, jusqu'à 1970 (pour la dernière date d'entrée).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DOREL - Université d...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DOREL - Université d...arrow_drop_down
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    Authors: Vilks, Ilgonis;

    Previosusly it was thought that no picture of the first telescope installed at the Astronomical Tower of the University of Latvia was preserved. During thorough search at the Museum of the University of Latvia a single picture of the telescope was found. This video explains how the picture was found. Agrāk domāja, ka Latvijas Universitātes Astronomiskā torņa pirmā teleskopa fotogrāfija nav saglabājusies. Veicot rūpīgus meklējumus Latvijas Universitātes Muzejā, tika atrasta vienīgā teleskopa fotogrāfija. Video paskaidro, kā tā tika atrasta.

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  • Authors: Stražar, Martin; Čopar, Andrej; Curk, Tomaž; Toplak, Marko; +8 Authors

    Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics.

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    bio.tools
    Software . 2015
    License: GPL-3.0
    Data sources: bio.tools
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      bio.tools
      Software . 2015
      License: GPL-3.0
      Data sources: bio.tools
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Zhang, Xiaoyu;

    In the past decade, the proliferation of data and the emergence of large language models have presented both opportunities and challenges in academia. The expanding volume of data, which records knowledge from various human activities, enables data-driven approaches to optimizing numerous aspects of industrial manufacturing and people's daily life. These improvements largely stem from machine learning models trained with this data. However, the industry still faces limitations in both extracting knowledge from large, unstructured, or heterogeneous datasets and transforming the extracted knowledge into actionable insights. This challenge is exacerbated in highly specialized domains where only a few analysts possess the expertise to interpret the data. Despite the recent advancements of large language models providing more intelligent assistance for many data analysis tasks, it remains essential to ensure that these machine learning models and the knowledge they encompass are safe to use and employed for social good with human verification.In my dissertation work, I develop visual analytics (VA) and human-computer interaction (HCI) methodologies for representing and interacting with various forms of knowledge and data, particularly text data. I propose a visual knowledge discovery framework that integrates human expertise with computational approaches throughout the knowledge discovery process, while also addressing the limited availability of domain experts and the increasing scale of data. Moreover, I investigate how visual analytics can efficiently and safely harness extensive knowledge from large machine learning models, enabling users to effectively steer the exploration process and make well-informed decisions. This dissertation presents six published research works organized around my visual knowledge discovery framework and its three key tasks: knowledge exploration, knowledge presentation, and knowledge exploitation. Firstly, I demonstrate how visual analytics can support knowledge exploration with large, high-dimensional, and heterogeneous data in the domain of manufacturing and machine maintenance. Subsequently, I introduce two knowledge presentation solutions for two distinct types of data—numerical data facts and unstructured text data. Lastly, I showcase three visually-assisted knowledge exploitation applications in various domains and scenarios, encompassing document summarization, technical text annotation, and data-driven machine learning model validation.My work demonstrates how mixed-initiative methods through visual analytics applications can resolve real-world challenges in highly-specialized domains. I leverage state-of-the-art machine learning techniques, particularly natural language processing models, while always involving domain practitioners in the loop. My approach facilitates communication among parties with mismatched knowledge levels, including domain experts, data analysts, computer scientists, and artificial intelligence. Meanwhile, I prioritize the critical role of human knowledge and integrate it into intelligent visualization interfaces that undergo qualitative evaluations. I believe that domain experts' insights, supervision, and verification are invaluable, regardless of how advanced machine learning techniques become. Through the projects outlined in this dissertation, I hope to encourage philosophical and social discussions surrounding the rapidly expanding field of artificial intelligence. Ultimately, my objective is to contribute to a future where intelligent visual analytics systems can augment and enhance human capabilities, enabling individuals to navigate through the potential challenges brought by advanced AI techniques.

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