Forthcoming and Online First Articles

International Journal of Metadata, Semantics and Ontologies

International Journal of Metadata, Semantics and Ontologies (IJMSO)

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International Journal of Metadata, Semantics and Ontologies (4 papers in press)

Regular Issues

  • Knowledge Graph-enabled Research. Participatory Modelling, Collecting, Analysing, and Retracing of High School Essays in Educational History.   Order a copy of this article
    by Julian Hocker, Christoph Schindler, Marc Rittberger, Marco Lorenz, Joachim Scholz, Tobias Weller, York Sure-Vetter 
    Abstract: This paper presents a knowledge graph that supports research in the community of historians of education and describes high school essays for the subject of German. Unlike established knowledge graphs that focus scholarly publications, the one presented focuses on the concrete needs of research practice and is used for interlinking historical sources like school essays, legal documents of laws, and heterogeneous types of publications for a certain period. The implementation of the knowledge graph allows researchers to analyse and retrace their work, engage in remote collaboration, and a combination of close and distant reading of texts. The explicit interlinking of sources and entities can be seen as a scholarly value chain, which can be retraced while doing research or used as an open science instrument for the research community and has been designed through a participatory approach of heterogeneous stakeholders.
    Keywords: digital humanities; knowledge graphs; open science; history of education.

  • MAPLE: metadata-driven orchestration of ontology matching   Order a copy of this article
    by Manuel Fiorelli, Armando Stellato, Tiziano Lorenzetti 
    Abstract: Bringing together disparate datasets on the Semantic Web clearly benefits from ontology matching. Systematic evaluation campaigns have focused on performance, efficiency, scalability and, more recently, human involvement. No less important is the recognition of the differences between datasets, for example in terms of modelling languages, lexicalisation and structure, which enables the selection and configuration of appropriate techniques and support resources. Following the Semantic Web vision of machines dialoguing to solve problems, we propose MAPLE, a framework that semi-automatically orchestrates an alignment plan using metadata about the matched datasets and other available resources. The framework prescribes a metadata profile that combines established vocabularies such as VoID, DCAT, Dublin Core and LIME, making it possible to use metadata accompanying self-describing datasets or published in catalogues. We discuss the integration of the framework into the collaborative knowledge development environment VocBench 3, as well as compatible matching systems.
    Keywords: ontology matching; metadata; matching scenario; alignment plan; OntoLex-Lemon; LIME; VoID; MAPLE; VocBench 3.
    DOI: 10.1504/IJMSO.2024.10065701
     
  • Towards reference model for addressing the cultural snapshot phenomenon in cultural mapping libraries   Order a copy of this article
    by Spiridon Mousouris, Evangelia Kavakli 
    Abstract: This paper focuses on Digital Libraries that geovisualise cultural data, highlighting the need to define them as a category termed “Cultural Mapping Libraries”, based on the culture-location connection. An exploratory analysis identified that Digital Libraries fail to geovisualise the entirety of cultural data per location, i.e., their evolution through time. This results in the “Cultural Snapshot” phenomenon. It was confirmed by a systematic bibliographic research. To address it, we propose a set of Semantic Web axioms to define and inference the phases of cultural data through time, per location. This evolution is expressed as states over time, in an event-oriented model. The model will produce axioms that enhance understating of phases per place, thus supporting their efficient geovisualisation. To achieve this, axioms will have to semantically integrate geospatial cultural data, enabling data interconnection and reasoning.
    Keywords: digital libraries; semantic web; reference model; geovisualisation; cultural informatics; CIDOC-CRM.
    DOI: 10.1504/IJMSO.2024.10065785
     
  • Meet the Author: linking and displaying author information in EconBiz Author profiles   Order a copy of this article
    by Arben Hajra, Tamara Pianos, Klaus Tochtermann 
    Abstract: Author-related data, e.g., affiliations, collaborations, or biographical facts, represents essential information in scholarly communication. For a comprehensive overview, scholars usually need to visit several sources to gather this information. In addition, the ambiguity of author names adds another level of complexity. Information about authors is scattered among authoritative sources such as libraries as well as open knowledge bases like Wikidata. In many cases, the data provided by these sources is highly structured by following linked data principles and semantic web technologies. Our approach uses this data - its identification and aggregation - to generate the most complete profiles for the authors. At the same time, this avoids the creation of further isolated silos of data and benefits from multi-stakeholder collaboration in data generation and curation. Furthermore, by analysing the research output through NLP, text mining and ML methods, an extended profile including the author’s most important research topics is achieved.
    Keywords: author profile; linked open data; semantic web; digital libraries; information retrieval; data mining; recommender systems; NLP.
    DOI: 10.1504/IJMSO.2024.10067219