Archivi di persona in Linked Open Data. Il modello concettuale come strumento di integrazione nei GLAMs

Gli archivi di persona e di personalit\ue0 rappresentano una specificit\ue0 nel panorama culturale, in quanto tipologia efficace per ripensare ai linked open data (LOD) come autentico strumento di dialogo e interconnessione del sistema Galleries, Libraries, Archives and Museums (GLAM). Due sono in particolare le caratteristiche topiche di tali fondi archivistici: l\u2019eterogeneit\ue0 dei documenti conservati (tanto per tipologia quanto per supporto) e la suite di relazioni, anche latenti, che tali collezioni veicolano (fra persone, fra persona e complesso documentario e, in particolare, fra persona e risorse in qualche forma riconducibili a quella persona). Le ontologie rappresentano un passo decisivo nella costruzione di LOD. Anche se non esplicitamente comprese nelle \u20185 stars\u2019 di Tim Berners Lee, i modelli concettuali sono capaci di fornire lo spessore semantico necessario a valorizzare la descrizione di dominio e a dare valore al link tipizzato, estendendo la rete delle interconnessioni attraverso collegamenti autoesplicativi. L\u2019esperimento condotto sull\u2019Archivio di Federico Zeri, conservato presso la Fondazione dell\u2019Universit\ue0 di Bologna che porta il nome dell\u2019illustre critico, pu\uf2 essere un punto di partenza utile per ripensare al concetto di profondit\ue0 della descrizione di oggetti culturali multiformi e di interlinking

Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification

Semi-supervised learning (SSL) is a common approach to learning predictive models using not only labeled examples, but also unlabeled examples. While SSL for the simple tasks of classification and regression has received a lot of attention from the research community, this is not properly investigated for complex prediction tasks with structurally dependent variables. This is the case of multi-label classification and hierarchical multi-label classification tasks, which may require additional information, possibly coming from the underlying distribution in the descriptive space provided by unlabeled examples, to better face the challenging task of predicting simultaneously multiple class labels. In this paper, we investigate this aspect and propose a (hierarchical) multi-label classification method based on semi-supervised learning of predictive clustering trees. We also extend the method towards ensemble learning and propose a method based on the random forest approach. Extensive experimental evaluation conducted on 23 datasets shows significant advantages of the proposed method and its extension with respect to their supervised counterparts. Moreover, the method preserves interpretability and reduces the time complexity of classical tree-based models

Digital humanities e biblioteche

The beginnings of Digital humanities are complex to delineate but in any case connected with the use of existing libraries (in the Middle Ages or in the 19th century) or with the creation of new libraries at the end of the last century, in the projects of the Index Thomisticus, of Computer assisted tools for Septuagint studies, of the Thesaurus linguae Graecae.The basic methodological imprint, through this multi-temporal and multi-center start, is the study of the texts around which very different disciplines even apparently (or really) distant get in touch with each other. In the international context, this imprint is questioned as it would be exclusionary with respect to a variety of subjects whose horizon ranges from cultural studies, to media studies, to the geopolitical inclusion of the South of the world.The Italian situation, also through AIUCD, the Association of informatica umanistica and digital culture, is characterized instead by the ability to recognize in constantly renewed forms the vital capacity of text and textuality to constitute the connective of a variety of contents and contexts.Gli inizi delle Digital humanities sono complessi da delineare ma comunque connessi con l'utilizzo di biblioteche esistenti (nel Medioevo o nell’Ottocento) o con la creazione di nuove biblioteche sul finire del secolo scorso, nei progetti dell'Index Thomisticus, dei Computer assisted tools for Septuagint studies, del Thesaurus linguae Graecae.L'impronta metodologica di fondo, attraverso questo inizio multitemporale e multicentrico, è lo studio dei testi attorno al quale si incontrano discipline molto differenti e anche apparentemente lontane. Nel contesto internazionale questa impronta pur presente viene messa in discussione in quanto sarebbe escludente rispetto a una varietà di temi il cui orizzonte va dai cultural studies, ai media studies, all'inclusione geopolitica del Sud del mondo.La situazione italiana, anche attraverso l'AIUCD, l'Associazione di informatica umanistica e cultura digitale, si caratterizza invece per la capacità di riconoscere in forme costantemente rinnovate la capacità vitale del testo e della testualità di costituire il connettivo di una varietà di contenuti e contesti

B!SON: A Tool for Open Access Journal Recommendation

Finding a suitable open access journal to publish scientific work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the risk of Predatory Publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. It is developed based on a systematic requirements analysis, built on open data, gives publisher-independent recommendations and works across domains. It suggests open access journals based on title, abstract and references provided by the user. The recommendation quality has been evaluated using a large test set of 10,000 articles. Development by two German scientific libraries ensures the longevity of the project

Collaborative Research Practices and Shared Infrastructures for Humanities Computing

The volume collect the proceedings of the 2nd Annual Conference of the Italian Association for Digital Humanities (Aiucd 2013), which took place at the Department of Information Engineering of the University of Padua, 11-12 December 2013. The general theme of Aiucd 2013 was “Collaborative Research Practices and Shared Infrastructures for Humanities Computing” so we particularly welcomed submissions on interdisciplinary work and new developments in the field, encouraging proposals relating to the theme of the conference, or more specifically: interdisciplinarity and multidisciplinarity, legal and economic issues, tools and collaborative methodologies, measurement and impact of collaborative methodologies, sharing and collaboration methods and approaches, cultural institutions and collaborative facilities, infrastructures and digital libraries as collaborative environments, data resources and technologies sharing

Collaborative Research Practices and Shared Infrastructures for Humanities Computing

The volume collect the proceedings of the 2nd Annual Conference of the Italian Association for Digital Humanities (Aiucd 2013), which took place at the Department of Information Engineering of the University of Padua, 11-12 December 2013. The general theme of Aiucd 2013 was “Collaborative Research Practices and Shared Infrastructures for Humanities Computing” so we particularly welcomed submissions on interdisciplinary work and new developments in the field, encouraging proposals relating to the theme of the conference, or more specifically: interdisciplinarity and multidisciplinarity, legal and economic issues, tools and collaborative methodologies, measurement and impact of collaborative methodologies, sharing and collaboration methods and approaches, cultural institutions and collaborative facilities, infrastructures and digital libraries as collaborative environments, data resources and technologies sharing

Machine Learning Algorithm for the Scansion of Old Saxon Poetry

Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input verses

Studies in Historical Documents from Nepal and India

study of religion|indology|anthropology|history|tibetolog

Studies in Historical Documents from Nepal and India

study of religion|indology|anthropology|history|tibetolog

Geographic information extraction from texts

A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction