Pub Date : 2021-04-23DOI: 10.1007/s00799-021-00302-1
M. Lorenzini, M. Rospocher, Sara Tonelli
{"title":"Automatically evaluating the quality of textual descriptions in cultural heritage records","authors":"M. Lorenzini, M. Rospocher, Sara Tonelli","doi":"10.1007/s00799-021-00302-1","DOIUrl":"https://doi.org/10.1007/s00799-021-00302-1","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"11 1","pages":"217 - 231"},"PeriodicalIF":1.5,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72613899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-19DOI: 10.1007/s00799-021-00300-3
Ehsan Noei, Tsahi Hayat, J. Perrie, R. Çolak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux
{"title":"A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases","authors":"Ehsan Noei, Tsahi Hayat, J. Perrie, R. Çolak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux","doi":"10.1007/s00799-021-00300-3","DOIUrl":"https://doi.org/10.1007/s00799-021-00300-3","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"20 1","pages":"197 - 215"},"PeriodicalIF":1.5,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80514143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-18DOI: 10.1007/s00799-021-00303-0
Thomas Krämer, A. Papenmeier, Zeljko Carevic, Dagmar Kern, Brigitte Mathiak
{"title":"Data-Seeking Behaviour in the Social Sciences","authors":"Thomas Krämer, A. Papenmeier, Zeljko Carevic, Dagmar Kern, Brigitte Mathiak","doi":"10.1007/s00799-021-00303-0","DOIUrl":"https://doi.org/10.1007/s00799-021-00303-0","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"6 1","pages":"175 - 195"},"PeriodicalIF":1.5,"publicationDate":"2021-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75471433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-21DOI: 10.1007/s00799-021-00299-7
Francesco Foscarin, P. Rigaux, Virginie Thion
{"title":"Data quality assessment in digital score libraries","authors":"Francesco Foscarin, P. Rigaux, Virginie Thion","doi":"10.1007/s00799-021-00299-7","DOIUrl":"https://doi.org/10.1007/s00799-021-00299-7","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"45 1","pages":"159 - 173"},"PeriodicalIF":1.5,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76612504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-11DOI: 10.1007/s00799-021-00306-x
Arthur Brack, Anett Hoppe, M. Stocker, S. Auer, R. Ewerth
{"title":"Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies","authors":"Arthur Brack, Anett Hoppe, M. Stocker, S. Auer, R. Ewerth","doi":"10.1007/s00799-021-00306-x","DOIUrl":"https://doi.org/10.1007/s00799-021-00306-x","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"79 1","pages":"33 - 55"},"PeriodicalIF":1.5,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80296832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-21DOI: 10.1007/s00799-021-00304-z
A. Nentidis, Anastasia Krithara, Grigorios Tsoumakas, G. Paliouras
{"title":"What is all this new MeSH about?","authors":"A. Nentidis, Anastasia Krithara, Grigorios Tsoumakas, G. Paliouras","doi":"10.1007/s00799-021-00304-z","DOIUrl":"https://doi.org/10.1007/s00799-021-00304-z","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"31 1 1","pages":"319 - 337"},"PeriodicalIF":1.5,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77363928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-18DOI: 10.1007/s00799-021-00298-8
G. Kortemeyer, Stefan Dröschler
{"title":"A user-transaction-based recommendation strategy for an educational digital library","authors":"G. Kortemeyer, Stefan Dröschler","doi":"10.1007/s00799-021-00298-8","DOIUrl":"https://doi.org/10.1007/s00799-021-00298-8","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"8 1","pages":"147 - 157"},"PeriodicalIF":1.5,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73176782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-11DOI: 10.1007/s00799-020-00297-1
Xiying Mi, Richard R. Bernardy, LeEtta M. Schmidt
{"title":"Building an archaeological data repository: a digital library and digital humanities collaboration at the University of South Florida","authors":"Xiying Mi, Richard R. Bernardy, LeEtta M. Schmidt","doi":"10.1007/s00799-020-00297-1","DOIUrl":"https://doi.org/10.1007/s00799-020-00297-1","url":null,"abstract":"","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"62 1","pages":"135 - 145"},"PeriodicalIF":1.5,"publicationDate":"2021-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84978248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01Epub Date: 2020-01-23DOI: 10.1007/s00799-020-00282-8
Gerald Hiebel, Gert Goldenberg, Caroline Grutsch, Klaus Hanke, Markus Staudt
This paper presents an approach how to create FAIR data for prehistoric mining archaeology, based on the CIDOC CRM ontology and semantic web standards. The interdisciplinary Research Centre HiMAT (History of mining activities in the Tyrol and adjacent areas, University of Innsbruck) investigates mining history from prehistoric to modern times with an interdisciplinary approach. One of the projects carried out at the research centre is the multinational DACH project "Prehistoric copper production in the eastern and central Alps". For a specific geographical region of the project, the data transformation to open and re-usable data is investigated in a separate Open Research Data pilot project. The methodological approach will use the FAIR principles to make data Findable, Accessible, Interoperable and Re-usable. Every archaeological investigation in Austria has to be documented according to the requirements of the Austrian Federal Monuments Office. This documentation is deposited in the CERN-based EU supported research data repository ZENODO. For each deposited file, metadata are created through the application of the conceptual metadata schema CIDOC CRM, an ISO standard for Cultural Heritage Information, which was adopted by ARIADNE, the European Union Research Infrastructure for archaeological resources. Concepts specific to mining archaeology research are organized with the DARIAH Back Bone Thesaurus, a model for sustainable interoperable thesauri maintenance, developed in the European Union Digital Research Infrastructure for the Arts and Humanities. Metadata are created through the extraction of information from the documentation and the transformation to a knowledge graph using semantic web standards. To facilitate usage, graph data are exported to hierarchical and tabular formats representing sites and objects with their geographic locations, temporal and typological assignments and links to the research activities and documents. Metadata are deposited together with the documentation into the repository.
{"title":"FAIR data for prehistoric mining archaeology.","authors":"Gerald Hiebel, Gert Goldenberg, Caroline Grutsch, Klaus Hanke, Markus Staudt","doi":"10.1007/s00799-020-00282-8","DOIUrl":"https://doi.org/10.1007/s00799-020-00282-8","url":null,"abstract":"<p><p>This paper presents an approach how to create FAIR data for prehistoric mining archaeology, based on the CIDOC CRM ontology and semantic web standards. The interdisciplinary Research Centre HiMAT (History of mining activities in the Tyrol and adjacent areas, University of Innsbruck) investigates mining history from prehistoric to modern times with an interdisciplinary approach. One of the projects carried out at the research centre is the multinational DACH project \"Prehistoric copper production in the eastern and central Alps\". For a specific geographical region of the project, the data transformation to open and re-usable data is investigated in a separate Open Research Data pilot project. The methodological approach will use the FAIR principles to make data Findable, Accessible, Interoperable and Re-usable. Every archaeological investigation in Austria has to be documented according to the requirements of the Austrian Federal Monuments Office. This documentation is deposited in the CERN-based EU supported research data repository ZENODO. For each deposited file, metadata are created through the application of the conceptual metadata schema CIDOC CRM, an ISO standard for Cultural Heritage Information, which was adopted by ARIADNE, the European Union Research Infrastructure for archaeological resources. Concepts specific to mining archaeology research are organized with the DARIAH Back Bone Thesaurus, a model for sustainable interoperable thesauri maintenance, developed in the European Union Digital Research Infrastructure for the Arts and Humanities. Metadata are created through the extraction of information from the documentation and the transformation to a knowledge graph using semantic web standards. To facilitate usage, graph data are exported to hierarchical and tabular formats representing sites and objects with their geographic locations, temporal and typological assignments and links to the research activities and documents. Metadata are deposited together with the documentation into the repository.</p>","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"22 3","pages":"267-277"},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00799-020-00282-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39643071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01Epub Date: 2021-10-09DOI: 10.1007/s00799-021-00308-9
Marco Fisichella
Inferring the magnitude and occurrence of real-world events from natural language text is a crucial task in various domains. Particularly in the domain of public health, the state-of-the-art document and token centric event detection approaches have not kept the pace with the growing need for more robust event detection in public health. In this paper, we propose UPHED, a unified approach, which combines both the document and token centric event detection techniques in an unsupervised manner such that events which are: rare (aperiodic); reoccurring (periodic) can be detected using a generative model for the domain of public health. We evaluate the efficiency of our approach as well as its effectiveness for two real-world case studies with respect to the quality of document clusters. Our results show that we are able to achieve a precision of 60% and a recall of 71% analyzed using manually annotated real-world data. Finally, we also make a comparative analysis of our work with the well-established rule-based system of MedISys and find that UPHED can be used in a cooperative way with MedISys to not only detect similar anomalies, but can also deliver more information about the specific outbreak of reported diseases.
{"title":"Unified approach to retrospective event detection for event- based epidemic intelligence.","authors":"Marco Fisichella","doi":"10.1007/s00799-021-00308-9","DOIUrl":"https://doi.org/10.1007/s00799-021-00308-9","url":null,"abstract":"<p><p>Inferring the magnitude and occurrence of real-world events from natural language text is a crucial task in various domains. Particularly in the domain of public health, the state-of-the-art document and token centric event detection approaches have not kept the pace with the growing need for more robust event detection in public health. In this paper, we propose UPHED, a unified approach, which combines both the document and token centric event detection techniques in an unsupervised manner such that events which are: rare (aperiodic); reoccurring (periodic) can be detected using a generative model for the domain of public health. We evaluate the efficiency of our approach as well as its effectiveness for two real-world case studies with respect to the quality of document clusters. Our results show that we are able to achieve a precision of 60% and a recall of 71% analyzed using manually annotated real-world data. Finally, we also make a comparative analysis of our work with the well-established rule-based system of MedISys and find that UPHED can be used in a cooperative way with MedISys to not only detect similar anomalies, but can also deliver more information about the specific outbreak of reported diseases.</p>","PeriodicalId":44974,"journal":{"name":"International Journal on Digital Libraries","volume":"22 4","pages":"339-364"},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502099/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39876267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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