International Journal on Digital Libraries

https://link.springer.com/journal/799

List of Papers (Total 100)

OAVA: the open audio-visual archives aggregator

The purpose of the current article is to provide an overview of an open-access audiovisual aggregation and search service platform developed for Greek audiovisual content during the OAVA (Open Access AudioVisual Archive) project. The platform allows the search of audiovisual resources utilizing metadata descriptions, as well as full-text search utilizing content generated from...

User versus institutional perspectives of metadata and searching: an investigation of online access to cultural heritage content during the COVID-19 pandemic

Findings from log analyses of user interactions with the digital content of two large national cultural heritage institutions (National Museums of Scotland and National Galleries of Scotland) during the COVID-19 lockdown highlighted limited engagement compared to pre-pandemic levels. Just 8% of users returned to these sites, whilst the average time spent, and number of pages...

Focused Issue on Digital Library Challenges to Support the Open Science Process

Open Science is the broad term that involves several aspects aiming to remove the barriers for sharing any kind of output, resources, methods or tools, at any stage of the research process ( https://book.fosteropenscience.eu/en/ ). The Open Science process is a set of transparent research practices that help to improve the quality of scientific knowledge and are crucial to the...

Universities, heritage, and non-museum institutions: a methodological proposal for sustainable documentation

To provide a sustainable methodology for documenting the small (and underfunded) but often important university heritage collections. The sequence proposed by the DBLC (Database Life Cycle) (Coronel and Morris, Database Systems: Design, Implementation, & Management. Cengage Learning, Boston, 2018; Oppel Databases a beginner’s guide. McGraw-Hill, New York, 2009) is followed...

Digital Libraries, Epigraphy and Paleography: Bring Records from the Distant Past to the Present: Part II

The two volumes of this Special Issue explore the intersections of digital libraries, epigraphy and paleography. Digital libraries research, practices and infrastructures have transformed the study of ancient inscriptions by providing organizing principles for collections building, defining interoperability requirements and developing innovative user tools and services. Yet...

Cross-lingual extreme summarization of scholarly documents

The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Recent work has tried to address this problem by developing methods for automated summarization in the scholarly domain, but concentrated so far only on monolingual settings...

RDFtex in-depth: knowledge exchange between -based research publications and Scientific Knowledge Graphs

For populating Scientific Knowledge Graphs (SciKGs), research publications pose a central information source. However, typical forms of research publications like traditional papers do not provide means of integrating contributions into SciKGs. Furthermore, they do not support making direct use of the rich information SciKGs provide. To tackle this, the present paper proposes...

Is this news article still relevant? Ranking by contemporary relevance in archival search

Our civilization creates enormous volumes of digital data, a substantial fraction of which is preserved and made publicly available for present and future usage. Additionally, historical born-analog records are progressively being digitized and incorporated into digital document repositories. While professionals often have a clear idea of what they are looking for in document...

Gesture retrieval and its application to the study of multimodal communication

Comprehending communication is dependent on analyzing the different modalities of conversation, including audio, visual, and others. This is a natural process for humans, but in digital libraries, where preservation and dissemination of digital information are crucial, it is a complex task. A rich conversational model, encompassing all modalities and their co-occurrences, is...

Comparing different search methods for the open access journal recommendation tool B!SON

Finding a suitable open access journal to publish academic 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. A systematic requirements...

AgAsk: an agent to help answer farmer’s questions from scientific documents

Decisions in agriculture are increasingly data-driven. However, valuable agricultural knowledge is often locked away in free-text reports, manuals and journal articles. Specialised search systems are needed that can mine agricultural information to provide relevant answers to users’ questions. This paper presents AgAsk—an agent able to answer natural language agriculture...

ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph

The purpose of this work is to describe the orkg-Leaderboard software designed to extract leaderboards defined as task–dataset–metric tuples automatically from large collections of empirical research papers in artificial intelligence (AI). The software can support both the main workflows of scholarly publishing, viz. as LaTeX files or as PDF files. Furthermore, the system is...

A detailed library perspective on nearly unsupervised information extraction workflows in digital libraries

Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can be cost-intensive in practice. On the one hand, suitable extraction methods rely on domain-specific training data. On the other hand, unsupervised and open extraction methods usually produce not-canonicalized extraction results. This...

From stone to silicon: technical advances in epigraphy

Through the annals of time, writing has slowly scrawled its way from the painted surfaces of stone walls to the grooves of inscriptions to the strokes of quill, pen, and ink. While we still inscribe stone (tombstones, monuments) and we continue to write on skin (tattoos abound), our quotidian method of writing on paper is increasingly abandoned in favor of the quick-to-generate...

Coverage and similarity of bibliographic databases to find most relevant literature for systematic reviews in education

Systematic literature reviews in educational research have become a popular research method. A key point hereby is the choice of bibliographic databases to reach a maximum probability of finding all potentially relevant literature that deals with the research question analyzed in a systematic literature review. Guidelines and handbooks on review recommend proper databases and...

DETEXA: declarative extensible text exploration and analysis through SQL

Metadata enrichment through text mining techniques is becoming one of the most significant tasks in digital libraries. Due to the exponential increase of open access publications, several new challenges have emerged. Raw data are usually big, unstructured, and come from heterogeneous data sources. In this paper, we introduce a text analysis framework implemented in extended SQL...

Deep author name disambiguation using DBLP data

In the academic world, the number of scientists grows every year and so does the number of authors sharing the same names. Consequently, it is challenging to assign newly published papers to their respective authors. Therefore, author name ambiguity is considered a critical open problem in digital libraries. This paper proposes an author name disambiguation approach that links...

Retrievability in an integrated retrieval system: an extended study

Retrievability measures the influence a retrieval system has on the access to information in a given collection of items. This measure can help in making an evaluation of the search system based on which insights can be drawn. In this paper, we investigate the retrievability in an integrated search system consisting of items from various categories, particularly focussing on...

A discovery system for narrative query graphs: entity-interaction-aware document retrieval

Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an initial keyword-based query followed by many refinements to retrieve a sufficiently complete, yet manageable set of documents to satisfy one’s information need. Since keyword-based search limits researchers to formulating their...

Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing

Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publications and represent them in machine-readable formats. Natural language processing (NLP) provides scalable methods to automatically extract knowledge from articles and...

Referencing behaviours across disciplines: publication types and common metadata for defining bibliographic references

In this work, we investigate existing citation practices by analysing a huge set of articles published in journals to measure which metadata are used across the various scholarly disciplines, independently from the particular citation style adopted, for defining bibliographic reference. We selected the most cited journals in each of the 27 subject areas listed in the SCImago...

Scientific document processing: challenges for modern learning methods

Neural network models enjoy success on language tasks related to Web documents, including news and Wikipedia articles. However, the characteristics of scientific publications pose specific challenges that have yet to be satisfactorily addressed: the discourse structure of scientific documents crucial in scholarly document processing (SDP) tasks, the interconnected nature of...

CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights)

Data science deals with the discovery of information from large volumes of data. The data studied by scientists in the humanities include large textual corpora. An important objective is to study the ideas and expectations of a society regarding specific concepts, like “freedom” or “democracy,” both for today’s society and even more for societies of the past. Studying the meaning...