Semantic annotation of digital music

Rahman, Fazilatur; Siddiqi, Jawed I. A.

doi:10.1016/j.jcss.2011.10.010

Cited by 11 publications

(8 citation statements)

References 27 publications

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“…CharaParser+EQ can be categorized as a semi-automated text annotation tool. Many text annotation tools have been developed in the past; some of them are primarily concerned with named entity recognition in general (Cunningham et al, 2013;Maynard et al, 2005;Popov et al, 2004) while others address specific applications (Gao, 2013;Rahman, 2012;Soo, 2004 ). In biology, the BioCreative Workshops evaluate systems that extract a variety of entities and associations, including gene mentions, normalized human gene/products (gene/products to Gene Ontology terms), protein-protein interaction, diseases, chemicals, gene and disease associations (Arighi, 2013;Hirschman 2005;Krallinger 2008;Leitner 2010).…”

Section: Related Workmentioning

confidence: 99%

CharaParser+EQ: Performance evaluation without gold standard

Cui

Dahdul

Dececchi

et al. 2015

Proc. Assoc. Info. Sci. Tech.

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To make phenotypic characters of organisms widely useful for computerized biology research, biocurators manually convert character descriptions to a structured format, for example the Entity-Quality (EQ) format. The manual approach is time consuming and affected by inter-curator variations. In this paper we report a software application, CharaParser+EQ, to our knowledge the first software that produces EQ statements from textual character descriptions. We report a recent experiment that evaluates the performance of the software against three experienced biocurators. While the software is still far from being able to compete with biocurators on this highly intellectual task, the results show (1) CharaParser+EQ's performance (precision and recall) is greatly improved compared to a previous version, (2) the completeness of the ontologies used in the process has significant impact both on the software's EQ generation performance and on the agreement among curators, and (3) unlimited access to external knowledge (published papers, books) by curators has no significant impact on inter-curator agreements. A detailed error analysis that compares machine and curator generated EQs is included.

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Section: Related Workmentioning

confidence: 99%

CharaParser+EQ: Performance evaluation without gold standard

Cui

Dahdul

Dececchi

et al. 2015

Proc. Assoc. Info. Sci. Tech.

View full text Add to dashboard Cite

show abstract

“…More recently, the dramatic increase in the volume of data has required address, and semantic web practices appear to be a viable solution to this challenge, as they have the potential to interlink data (and thereby annotations) more dynamically than standard web practices currently can. 24 In current work, there is significant emphasis on the critical thinking and research practices of group dynamics and social interaction in the space of digital annotation. 25 Researchers interrogate how Web 2.0 practices have changed the way information is stored, accessed, and interacted with 26 , and note that the movement toward participatory practice has resulted in a gap between our theoretical understanding and how it manifests in prototypes and tools 27 .…”

Section: Exemplary Instances Of Annotative Practicementioning

confidence: 99%

The Value of Plurality in ‘The Network with a Thousand Entrances’

Siemens¹,

Arbuckle²,

Seatter³

et al. 2017

IJHAC

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This contribution reflects on the value of plurality in the 'network with a thousand entrances' suggested by McCarty (http://goo.gl/H3HAfs), and others, in association with approaching time-honoured annotative and commentary practices of much-engaged texts. The question is how this approach aligns with tensions, today, surrounding the multiplicity of endeavour associated with modeling practices of annotation by practitioners of the digital humanities. Our work, hence, surveys annotative practice across its reflection in contemporary praxis, from the MIT annotation studio whitepaper (http://goo.gl/8NBdnf) through the work of the Open Annotation Collaboration (http://www.openannotation.org), and manifest in multiple tools facilitating annotation across the web up to and including widespread application in social knowledge creation suites like Wikipedia https://en.wikipedia.org/wiki/Web annotation)

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“…The solution only focuses on textual data while analyzing audio signal is ignored. Rahman and Siddiqi [17] propose a music annotation ontology, which is named mpeg-7Music, mainly supporting music producers to publish the musical contents.…”

Section: Semantic Web Application and Musical Information Domainmentioning

confidence: 99%