Video: an introduction to Work Package 4 ‘Musical Heritage Knowledge Extraction from text’

WP4 – Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes.

13 December 2022

WP4 – Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes. Firstly, the WP focuses on creating plurilingual corpora focused on musical heritage. Secondly, the to-be-build tools support extracting automatically relevant knowledge from text such as people, places, time, music works, experiences, stories, events, etc. about musical heritage. And thirdly, the WP focuses on evaluating knowledge extraction tools against the manually curated corpora. The developed methodologies and tools will enable the processing of multilingual textual sources, which express diverse perspectives at different times: linguistic, historical, cultural and political. In our latest YouTube video work package leader Rocco Tripodi explains how the results of WP4 can be useful for stakeholders.

Recent News

In our newest video Paul Mulholland, leader of WP5 explains how Polifonia intends to let people access or contribute to the music data Polifonia offers, in a way that fits their level of expertise, interest or physical abilities.

In WP5  - Human Interaction with Musical Heritage - the team researches and develops highly interactive…

25 January 2023

Polifonia is featured in the latest edition of @rhivi. The article introduces the Croatian archival and cultural heritage community to musicdata project Polifonia.

Polifonia is featured in the latest edition of @rhivi. The article introduces the Croatian archival…

24 January 2023

Recently, the ORGANS pilot released a press statement about its ambitions in order to reach all pipe organ enthusiasts about the upcoming Knowledge Graph on organ history. Also, the stakeholder network video is now on our YouTube channel, in which pilitor leader Peter van Kranenburg explains the work being done in this pilot.

Recently, the ORGANS pilot released a press statement about its ambitions in order to reach all pipe…

17 January 2023

Earlier in December, Polifonia’s team from Bologna presented a novel music segmentation method called Pitchclass2vec at the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022). Master student Nicolas Lazzari was asked to present the experiments that were part of this research.

Earlier in December, Polifonia’s team from Bologna presented a novel music segmentation method called…

21 December 2022

WP4 – Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes.

WP4 - Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes.…

13 December 2022

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented to these Dutch heritage professionals. Find the visual report here.

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented…

7 December 2022

Polifonia’s team from Bologna is gearing up for 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), where Nicolas Lazzari, Andrea Poltronieri and Valentina Presutti are presenting a novel music segmentation method called Pitchclass2vec.

Polifonia’s team from Bologna is gearing up for 21st International Conference of the Italian Association…

28 November 2022

Annual Conference focuses on the CLARIAH digital humanities infrastructure and its use by researchers and other professionals from the heritage field. This free program offers lectures, debates, interactive presentations, workshops and poster sessions and dives into topics like AI, social media, linked data & data stories. 

This year's CLARIAH Annual Conference focuses on the CLARIAH digital humanities infrastructure and its…

21 November 2022

From Beethoven to Metallica, from Pinkpop to the Big Sing, from the beginning of the 20th century through to last week.

From Beethoven to Metallica, from Pinkpop to the Big Sing, from the beginning of the 20th century through…

16 November 2022

Relying on the results of WP2 -ontology-based knowledge graphs- the overall goal of WP3 is to devise approaches to analysing large repositories of music (tunes, songs, etc.) to identify common, meaningful patterns that are indicative of their identity, filiation or cultural association (genres, origin, etc). Work package leader James McDermott explains the ‘Mining Musical Patterns’ work of WP3 in our latest video on YouTube. 

Relying on the results of WP2 -ontology-based knowledge graphs- the overall goal of WP3 is to devise…

9 November 2022

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746