Dr. Allison Kupietzky
Dr. Allison Kupietzky has served on the staff of the museum for 30 years. Dr. Kupietzky is Collections Database Manager at the Israel Museum, Jerusalem since 1999 and is responsible for the development, construction and maintenance of the museum-wide information system including its bilingual thesaurus. This thesaurus has recently been implemented within the 54 national museums of Israel by the Ministry of Culture, Department of Museums. In addition, Dr. Kupietzky was appointed in 2011 Head of the Information Center for Israeli Art. To promote access to the archival material from this Center, Dr. Kupietzky became a Wikipedian. She has sponsored a number of multinational projects including “Wiki Loves Monuments and Public Art” which fostered community engagement.
Address: Israel
Address: Israel
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Data Acquisition: Airbnb's database, which consists of three primary files:
1. Listings: The main dataset containing 14,694 unique property records in Austin, Texas.
2. Calendar: A comprehensive file with over 5 million records, detailing the availability and pricing of each property for each day over a 365-day period.
3. Reviews: A dataset with over 5 million records featuring reviews for the unique properties.
Data Cleaning and Merging: Aggregated Calendar file using Tableau, resulting in a condensed dataset with a single record per listing that includes the total income generated each month and cumulatively over 365 days. This aggregated data was then merged with the Listings file using Python, matching records by their Listing ID.
Addressing Missing Data: While neighborhood names were missing, ZIP codes were available. Using ChatGPT, we identified the corresponding neighborhood for each ZIP code and added this information to the Listings file.
Data Filtering: Exclude listings with zero days of occupancy, reducing the dataset from 14,694 to 14,354 records. Additionally, we filtered out listings with zero reviews in the past 12 months. We created by Python a column categorizing the remaining listings into three groups based on their review count: 0, 1-3, and more than 3. This filtering process led to the removal of 5,328 listings, leaving us with 9,026 records.
Outlier Removal: Plotted the total income distribution using a histogram and identified outliers based on the criteria of being greater than the average income plus two standard deviations (2SD) or lower than the average income minus two standard deviations. This resulted in the removal of 320 records, leaving us with a final dataset of 8,703 records.
Review of outliers: Created an interesting last look at the data
Westport, CT: Libraries Unlimited, 2007, 165 pp. ,ISBN 978-1-59158-444-5
Seminar at the Biblioteca Centrala Universitara "Lucian Blaga" (The Lucian Blaga Central University Library), Cluj-Napoca, Romania.
Sept 2019
Photoconsortium Annual Event 2018, Barcelona 12 June 2018
https://www.photoconsortium.net/photoconsortium-annual-event-2018-barcelona-12-june/
The current procedure for digital documentation by conservators at the Museum makes use of several database environments which is both time-consuming and complex. The aim of this technological solution was to develop a cutting-edge, free-standing, and user-friendly application for real-time use in the laboratories themselves as well as when traveling with exhibitions. Having consulted with conservation laboratories in other major cultural institutions exploring similar strategies, such as the Metropolitan Museum of Art and the Museum of London, we believe the development of such a platform will enable a faster, easier, and more comprehensive way for the conservators to record their work processes.
The project unified the work process into a single digital environment which will allow our conservation staff to generate quick and concise documentation. The tablet-based application will be photo-oriented, enabling the conservators to take digital photographs of the items with the tablet camera and allow for direct mark-up to indicate damages and repairs. Utilizing technology, the app will extract existing data from the main database environment and automate reports according to the conservator’s needs. Finally, the tool allows for the creation of condition reports in large batches as well as an individual document. All documentation will be formatted as a PDF and can be sent via email or printed.
Dr. Allison Kupietzky - Collections Database Manager, The Israel Museum, Jerusalem
Michal Blankett Ganor - Head of Decorative Surfaces Conservation, The Israel Museum, Jerusalem
Conference and Annual General Meeting - Organization for the Conservation of Cultural Properties, ICOM Israel, Feb 2019
Description: The Information Center for Israeli Art, The Israel Museum, Jerusalem (IMJ) contains the largest collection of material about Israeli art – cataloging over 12,000 artists. The Center’s team worked with WIKIDATA to create Linked Open Data to manage this information and harness their data for secondary uses. The team investigated use-cases and artificial intelligence applications including mapping geographic locations, image recognition programs and smart queries using SPARQL endpoints. The LOD mashups leveraged information published on WIKIDATA by other libraries, archives, and museums to enrich the IMJ’s data, enabling the creation of outdoor-art maps, identifying artists in archival photographs and harvesting translations.
Team Photograph: https://photos.app.goo.gl/664LKwQEHrGvkPrc9
https://youtu.be/mAPx9kv9_JA
https://lodlam.net/challenge-entries/
Data Acquisition: Airbnb's database, which consists of three primary files:
1. Listings: The main dataset containing 14,694 unique property records in Austin, Texas.
2. Calendar: A comprehensive file with over 5 million records, detailing the availability and pricing of each property for each day over a 365-day period.
3. Reviews: A dataset with over 5 million records featuring reviews for the unique properties.
Data Cleaning and Merging: Aggregated Calendar file using Tableau, resulting in a condensed dataset with a single record per listing that includes the total income generated each month and cumulatively over 365 days. This aggregated data was then merged with the Listings file using Python, matching records by their Listing ID.
Addressing Missing Data: While neighborhood names were missing, ZIP codes were available. Using ChatGPT, we identified the corresponding neighborhood for each ZIP code and added this information to the Listings file.
Data Filtering: Exclude listings with zero days of occupancy, reducing the dataset from 14,694 to 14,354 records. Additionally, we filtered out listings with zero reviews in the past 12 months. We created by Python a column categorizing the remaining listings into three groups based on their review count: 0, 1-3, and more than 3. This filtering process led to the removal of 5,328 listings, leaving us with 9,026 records.
Outlier Removal: Plotted the total income distribution using a histogram and identified outliers based on the criteria of being greater than the average income plus two standard deviations (2SD) or lower than the average income minus two standard deviations. This resulted in the removal of 320 records, leaving us with a final dataset of 8,703 records.
Review of outliers: Created an interesting last look at the data
Westport, CT: Libraries Unlimited, 2007, 165 pp. ,ISBN 978-1-59158-444-5
Seminar at the Biblioteca Centrala Universitara "Lucian Blaga" (The Lucian Blaga Central University Library), Cluj-Napoca, Romania.
Sept 2019
Photoconsortium Annual Event 2018, Barcelona 12 June 2018
https://www.photoconsortium.net/photoconsortium-annual-event-2018-barcelona-12-june/
The current procedure for digital documentation by conservators at the Museum makes use of several database environments which is both time-consuming and complex. The aim of this technological solution was to develop a cutting-edge, free-standing, and user-friendly application for real-time use in the laboratories themselves as well as when traveling with exhibitions. Having consulted with conservation laboratories in other major cultural institutions exploring similar strategies, such as the Metropolitan Museum of Art and the Museum of London, we believe the development of such a platform will enable a faster, easier, and more comprehensive way for the conservators to record their work processes.
The project unified the work process into a single digital environment which will allow our conservation staff to generate quick and concise documentation. The tablet-based application will be photo-oriented, enabling the conservators to take digital photographs of the items with the tablet camera and allow for direct mark-up to indicate damages and repairs. Utilizing technology, the app will extract existing data from the main database environment and automate reports according to the conservator’s needs. Finally, the tool allows for the creation of condition reports in large batches as well as an individual document. All documentation will be formatted as a PDF and can be sent via email or printed.
Dr. Allison Kupietzky - Collections Database Manager, The Israel Museum, Jerusalem
Michal Blankett Ganor - Head of Decorative Surfaces Conservation, The Israel Museum, Jerusalem
Conference and Annual General Meeting - Organization for the Conservation of Cultural Properties, ICOM Israel, Feb 2019
Description: The Information Center for Israeli Art, The Israel Museum, Jerusalem (IMJ) contains the largest collection of material about Israeli art – cataloging over 12,000 artists. The Center’s team worked with WIKIDATA to create Linked Open Data to manage this information and harness their data for secondary uses. The team investigated use-cases and artificial intelligence applications including mapping geographic locations, image recognition programs and smart queries using SPARQL endpoints. The LOD mashups leveraged information published on WIKIDATA by other libraries, archives, and museums to enrich the IMJ’s data, enabling the creation of outdoor-art maps, identifying artists in archival photographs and harvesting translations.
Team Photograph: https://photos.app.goo.gl/664LKwQEHrGvkPrc9
https://youtu.be/mAPx9kv9_JA
https://lodlam.net/challenge-entries/
Introduction: Dr Steven Claeyssens, KB | Royal Library of the Netherlands
Speakers: Dr. Heli Kautonen is Library Director at the Finnish Literature Society; Dr. Allison Kupietzky is Collections Database Manager at the Israel Museum, Jerusalem; Eng Sengsavang is Reference Archivist at the United Nations Educational, Scientific and Cultural Organization (UNESCO) in Paris, France.
Respondent: Dr Seamus Ross is a Professor of Information at the University of Toronto
https://pro.europeana.eu/event/ai-tools-in-perspective-the-potential-for-cultural-heritage-institutions-the-responses-of-dh-researchers
מפגש רביעי : השתלמות פורום מנהלי האוספים והרשמים: בנושא רישום מוזאלי
השתלמות פורום מנהלי האוספים והרשמים: מילון מונחים לרישום מוזאלי
איגוד המוזיאונים ואיקום ישראל - ICOM ISRAEL
27.10.2020 | יום שלישי | 10:00-12:00
10:00-10:30 שם הפריט, רבקה קלדרון, מנהלת מחלקת הרישום, מוזאון ארץ ישראל
10:30-11:15 תזאורוס: בניית מילון מונחים, נעמה פרידמן, ראש תחום המפתח למאמרים, ספריית יונס וסוראיה נזריאן, ד"ר ריקי גרינברג, ראש ענף פרויקטים דיגיטליים ואוספים מיוחדים, ספריית יונס וסוראיה נזריאן, אוניברסיטת חיפה
11:15-11:45 אמנים ואמנות ישראלית ב- Wikidata : אפליקציות העושות שימוש במידע פתוח מקושר (LOD - Linked Open Data), ד"ר אליסון קופיאצקי - מנהלת מערכות מחשוב ואוספים, מוזאון ישראל
With the help of Wikidata, we hope to parse the data so that it can be better managed and the information can be harnessed for secondary uses within maps and applications. Examples of such uses can be already found in Crotos and Histropedia. Additionally, the resulting data would allow for smart queries using SPARQL endpoints that would support mapping, with the goal of creating fluid applications for the public and tourists. This project has been completed with the help of Maarten Dammers.
What will attendees take away from this session?
* Lessons from a successful joint project between a cultural heritage institution and Wikidata
* Coordinating disparate databases into one resource for uniformity
*Photos resulting from "Wiki Loves" competitions reused in applications that enable better public access to cultural heritage collections