The Data Aggregation Lab Software

Freire, Nuno

doi:10.1007/978-3-030-36599-8_38

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The workflow begins after the metadata is published by a data provider and ends with the preparation of a data set export to provide it to ingestion and integration systems. According to the authors, the number of steps of the workflow can vary a little depending on the technology in use, but in general, it consists of seven main steps (Freire, 2019).…”

Section: Ariadne Projectmentioning

confidence: 99%

“…These tools analyze important aspects to integrate the data into the central aggregate set. It allows the aggregator to detect data set deficiencies and evaluate the effort and specific tasks required for the following steps; in Align data model and vocabularies, the aggregator aligns the data model and vocabularies used in the data set from the data provider to the (EDM); in Convert dataset, the data set is converted to EDM and the result is verified; finally, in Integrate dataset, the DAL interacts with the regular ingestion and integration of data from the aggregator systems and provides the converted data set (Freire, 2019).…”

Section: Ariadne Projectmentioning

confidence: 99%

See 1 more Smart Citation

Workflow models for aggregating cultural heritage data on the web: A systematic literature review

Siqueira

Martins

2021

Asso for Info Science & Tech

View full text Add to dashboard Cite

In recent years, different cultural institutions have made efforts to spread culture through the construction of a unique search interface that integrates their digital objects and facilitates data retrieval for lay users. However, integrating cultural data is not a trivial task; therefore, this work performs a systematic literature review on data aggregation workflows, in order to answer five questions: What are the projects? What are the planned steps? Which technologies are used? Are the steps performed manually, automatically, or semi-automatically? Which perform semantic search? The searches were carried out in three databases: Networked Digital Library of Theses and Dissertations, Scopus and Web of Science. In Q01, 12 projects were selected. In Q02, 9 stages were identified: Harvesting, Ingestion, Mapping, Indexing, Storing, Monitoring, Enriching, Displaying, and Publishing LOD. In Q03, 19 different technologies were found it. In Q04, we identified that most of the solutions are semiautomatic and, in Q05, that most of them perform a semantic search. The analysis of the workflows allowed us to identify that there is no consensus regarding the stages, their nomenclatures, and technologies, besides presenting superficial discussions. But it allowed to identify the main steps for the implementation of the aggregation of cultural data.

show abstract

Section: Ariadne Projectmentioning

confidence: 99%

Section: Ariadne Projectmentioning

confidence: 99%

Workflow models for aggregating cultural heritage data on the web: A systematic literature review

Siqueira

Martins

2021

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

Integrating, Indexing and Querying the Tangible and Intangible Cultural Heritage Available Online: The QueryLab Portal

Artese

Gagliardi

2022

Information

View full text Add to dashboard Cite

Cultural heritage inventories have been created to collect and preserve the culture and to allow the participation of stakeholders and communities, promoting and disseminating their knowledges. There are two types of inventories: those who give data access via web services or open data, and others which are closed to external access and can be visited only through dedicated web sites, generating data silo problems. The integration of data harvested from different archives enables to compare the cultures and traditions of places from opposite sides of the world, showing how people have more in common than expected. The purpose of the developed portal is to provide query tools managing the web services provided by cultural heritage databases in a transparent way, allowing the user to make a single query and obtain results from all inventories considered at the same time. Moreover, with the introduction of the ICH-Light model, specifically studied for the mapping of intangible heritage, data from inventories of this domain can also be harvested, indexed and integrated into the portal, allowing the creation of an environment dedicated to intangible data where traditions, knowledges, rituals and festive events can be found and searched all together.

show abstract

The Data Aggregation Lab Software

Cited by 2 publications

References 6 publications

Workflow models for aggregating cultural heritage data on the web: A systematic literature review

Workflow models for aggregating cultural heritage data on the web: A systematic literature review

Integrating, Indexing and Querying the Tangible and Intangible Cultural Heritage Available Online: The QueryLab Portal

Contact Info

Product

Resources

About