Linked Data Publication of Live Music Archives and Analyses

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Slides from a talk from the Resources Track at ISWC2017 in Vienna.

Science

Linked Data Publication of
Live Music Archives and
Analyses
Sean Bechhofer,Kevin R.Page,David M.Weigl,György
Fazekas,and Thomas Wilmering

“A world of digital collections—databases of
relatively raw cultural heritage materials…
and then layers of interpretation and
presentation built upon these databases and
making reference to objects within them”
Lynch

Collection
Internet Archive Live Music Archive—“etree”
Community Contributed live recordings
5,000 artists
130,000 performances
Uploader contributed metadata

Collection
Freely available audio in various formats
Various genres
Variety of quality
Multiple performances
Cover versions

Collection Metadata
Conversion/publication of raw metadata as RDF
Publication as Linked Data with rationalised
identiﬁers
Alignment with external sources
SPARQL/pubby access
Music Ontology,Event Ontology,Similarity Ontology,
SKOS,VoID

Computational Analysis/Feature
Metadata
Audio analysis of tracks: chromagrams,chord,tempo,
key,structural segmentation etc.
Separation of analysis metadata and provenance from
analysis results
Feature data stored as a“blob”
Access via direct download
PROV,VAMP,Audio Feature Ontology/Vocabulary

Exploratory Analysis
Exploratory analysis tools and workflows
Typicality of key
Initial workset based on metadata
Results of key typicality used for metadata validation

Discussion
Two differing,but complementary purposes
etree: bibliographic metadata
calma: audio analysis
Integration of audio feature analysis and
bibliographic metadata to support navigation and
retrieval

Discussion
Software/analysis focused on a single investigation
might be cheaper
But we get the potential to reuse,expand and
transparency of method
CALMA dataset builds on the existing etree collection
It's a fun dataset to play with!

http://etree.linkedmusic.org/
http://calma.linkedmusic.org/

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HotJupiters are amongthebest-studied exoplanets, but it is still poorly understood how their chemical composition and cloud properties vary with longitude. Theoretical models predict that clouds may condense on the nightside and that molecular abundances can be driven out of equilibrium by zonal winds. Here we report a phase-resolved emission spectrum of the hot Jupiter WASP-43b measured from 5–12µ 5–12µ 5–12µm with JWST’s Mid-Infrared Instrument (MIRI). 1524 ±35 1524 ±35 and 863±23 The spectra reveal a large day–night temperature contrast (with average brightness temperatures of 1524 ± 35 863 ±23 863 ±23Kelvin, respectively) and evidence for water absorption at all orbital phases. Comparisons with three-dimensional atmospheric models show that both the phase curve shape and emission spectra strongly suggest the presence of nightside clouds which become optically thick to thermal emission at pressures greater than ∼100mbar. The dayside is consistent with a cloudless atmosphere above the mid-infrared photosphere. Con3trary to expectations from equilibrium chemistry but consistent with disequilibrium kinetics models, methane is not detected on the nightside (2σ upper limit of 1–6 parts per million, depending on model assumptions).

Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b

Sérgio Sacani

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Context. Determining the size distribution of asteroids is key to understanding the collisional history and evolution of the inner Solar System. Aims. We aim to improve our knowledge of the size distribution of small asteroids in the main belt by determining the parallaxes of newly detected asteroids in the Hubble Space Telescope (HST) archive and subsequently their absolute magnitudes and sizes. Methods. Asteroids appear as curved trails in HST images because of the parallax induced by the fast orbital motion of the spacecraft. Taking into account the trajectory of this latter, the parallax effect can be computed to obtain the distance to the asteroids by fitting simulated trajectories to the observed trails. Using distance, we can obtain the absolute magnitude of an object and an estimation of its size assuming an albedo value, along with some boundaries for its orbital parameters. Results. In this work, we analyse a set of 632 serendipitously imaged asteroids found in the ESA HST archive. Images were captured with the ACS/WFC and WFC3/UVIS instruments. A machine learning algorithm (trained with the results of a citizen science project) was used to detect objects in these images as part of a previous study. Our raw data consist of 1031 asteroid trails from unknown objects, not matching any entries in the Minor Planet Center (MPC) database using their coordinates and imaging time. We also found 670 trails from known objects (objects featuring matching entries in the MPC). After an accuracy assessment and filtering process, our analysed HST asteroid set consists of 454 unknown objects and 178 known objects. We obtain a sample dominated by potential main belt objects featuring absolute magnitudes (H) mostly between 15 and 22 mag. The absolute magnitude cumulative distribution logN(H > H0) ∝ αlog(H0) confirms the previously reported slope change for 15 < H < 18, from α ≈ 0.56 to α ≈ 0.26, maintained in our case down to absolute magnitudes of around H ≈ 20, and therefore expanding the previous result by approximately two magnitudes. Conclusions. HST archival observations can be used as an asteroid survey because the telescope pointings are statistically randomly oriented in the sky and cover long periods of time. They allow us to expand the current best samples of astronomical objects at no extra cost in regard to telescope time.

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Linked Data Publication of Live Music Archives and Analyses

1. Linked Data Publication of Live Music Archives and Analyses Sean Bechhofer,Kevin R.Page,David M.Weigl,György Fazekas,and Thomas Wilmering

2. “A world of digital collections—databases of relatively raw cultural heritage materials… and then layers of interpretation and presentation built upon these databases and making reference to objects within them” Lynch

3. Collection Internet Archive Live Music Archive—“etree” Community Contributed live recordings 5,000 artists 130,000 performances Uploader contributed metadata

4. Collection Freely available audio in various formats Various genres Variety of quality Multiple performances Cover versions

6. Collection Metadata Conversion/publication of raw metadata as RDF Publication as Linked Data with rationalised identiﬁers Alignment with external sources SPARQL/pubby access Music Ontology,Event Ontology,Similarity Ontology, SKOS,VoID

9. Computational Analysis/Feature Metadata Audio analysis of tracks: chromagrams,chord,tempo, key,structural segmentation etc. Separation of analysis metadata and provenance from analysis results Feature data stored as a“blob” Access via direct download PROV,VAMP,Audio Feature Ontology/Vocabulary

10.

11.

12.

13.

14.

15. Exploratory Analysis Exploratory analysis tools and workflows Typicality of key Initial workset based on metadata Results of key typicality used for metadata validation

16.

17. Discussion Two differing,but complementary purposes etree: bibliographic metadata calma: audio analysis Integration of audio feature analysis and bibliographic metadata to support navigation and retrieval

18. Discussion Software/analysis focused on a single investigation might be cheaper But we get the potential to reuse,expand and transparency of method CALMA dataset builds on the existing etree collection It's a fun dataset to play with!

19. http://etree.linkedmusic.org/ http://calma.linkedmusic.org/

Linked Data Publication of Live Music Archives and Analyses

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