OCR Groundtruth for Swinemünder Badeanzeiger

This dataset contains the ground truth annotation for extracting and structuring information from the old newspaper "Swinemünder Badeanzeiger" tables. The newspaper was obtained from Digitale Bibliothek Mecklenburg Vorpommern https://www.digitale-bibliothek-mv.de/viewer/toc/PPN636776093/ The data was obtained by selecting one "Swinemünder Badeanzeiger" image per year and manually transcribing the content. The dataset is structured based on the newspaper's publication year. One folder for each year contains a folder named according to the original image ID and includes the following data table_[running_number].jpg image with the segmented table table_[running_number]_annotation.json data extracted and structured from the segmented image by manual transcription table_[running_number]_index_connected.json list that connected the entry with the corresponding table rows to maintain multi-row entries For each entry, a JSON entry was created and added to table_[running_number]_annotation.json, which consists of the following fields:  input: Transcription of the original row, including markers for columns Nummer: The sequence number of the row as extracted from the input field Vorname: The first name, if it exists otherwise null Nachname: The last name, if it exists; otherwise null Titel: The (academic) title, if it exists, otherwise null Beruf: The profession, if it exists; otherwise null Sozialer Stand: The social status, if it exists, otherwise null Begleitung: Any companion, such as family members or servants, if exists, otherwise null Wohnort: The city, where the person(s) arrived from, if it exists, otherwise null Wohnung: The local residence, such as a hotel, pension, or vacation home, if it exists, otherwise null Personenanzahl: The overall number of persons that are represented by this entry In addition to the separate annotation files, the file swinebad_groundtruth.json has a complete list of all entries to facilitate more straightforward data analysis. To this end, each entry was completed with the following data. date: The publication date of the newspaper where the entry was published The following example lists an entry which was obtained from the fourth line of the table as published at https://www.digitale-bibliothek-mv.de/viewer/image/PPN636776093_1910/1/LOG_0003/ { "input": "973 | Dr. Auerbach, Richard, Journalist, mit Frau | „ | Villa Kaiser Wilhelm | 2", "Nummer": "973", "Vorname": "Richard", "Nachname": "Auerbach", "Titel": "Dr.", "Beruf": "Journalist", "Sozialer Stand": null, "Begleitung": "mit Frau", "Wohnort": "Berlin", "Wohnung": "Villa Kaiser Wilhelm", "Personenanzahl": "2", "date": "1910-06-06" }, You are welcome to cite the 'Digitale Bibliothek MV / Universität Greifswald' (+ URN for digital publications or the shelfmark for printed publications) as the source for the images.

ORDS meets the sea

A multi-level analysis of data quality for formal software citation

Abstract. Software is a central part of modern science, and knowledge of its use is crucial for the scientific community with respect to reproducibility and attribution of its developers. Several studies have investigated in-text mentions of software and its quality, while the quality of formal software citations has only been analyzed superficially. This study performs an in-depth evaluation of formal software citation based on a set of manually annotated software references. It examines which resources are cited for software usage, to what extend they allow proper identification of software and its specific version, how this information is made available by scientific publishers, and how well it is represented in large-scale bibliographic databases. The results show that software articles are the most cited resource for software, while direct software citations are better suited for identification of software versions. Moreover, we found current practices by both, publishers and bibliographic databases, to be unsuited to represent these direct software citations, hindering large-scale analyses such as assessing software impact. We argue that current practices for representing software citations—the recommended way to cite software by current citation standards—stand in the way of their adaption by the scientific community, and urge providers of bibliographic data to explicitly model scientific software.Peer Review. https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00309

SemDH (@[email protected])

🥳 The list of papers accepted to be published at #SemDH2024 is online! Congrats to all authors & a big thank you to the PC members who all worked very hard on their reviews 💪 See you at #ESWC2024 https://semdh.github.io/accepted-papers.html @eswc_conf @[email protected] @[email protected] @lysander07

NSLP 2024

The 1st Workshop on Natural Scientific Language Processingand Research Knowledge Graphs (NSLP 2024)