Withdraw
Loading…
Towards incorporating derived features in dataset alignment and linking
Blauvelt, Catherine; Weigl, David M.; Downie, J. Stephen; Page, Kevin R.
Loading…
Permalink
https://hdl.handle.net/2142/96727
Description
- Title
- Towards incorporating derived features in dataset alignment and linking
- Author(s)
- Blauvelt, Catherine
- Weigl, David M.
- Downie, J. Stephen
- Page, Kevin R.
- Issue Date
- 2017
- Keyword(s)
- Linked data
- Entity alignment
- Feature extraction
- Date of Ingest
- 2017-07-27T15:57:55Z
- Abstract
- The Semantic Alignment and Linking Tool (SALT) enables scholars and domain experts to establish connections between complementary datasets describing entities such as people, works, or performances, by generating alignment candidates based on contextual cues from shared bibliographic metadata. Here, we present a redesigned user interface for SALT to address usability concerns identified during a user evaluation, and extend it to incorporate computational features as additional semantic context. These derived features quantify specific aspects of information resources such as musical recordings and textual documents, mathematically characterizing, e.g., the musical keys represented in an audio signal, or the token, line, and page counts within a text. Such metadata describing aspects of the content of information resources provide valuable additional cues, alongside bibliographic facets, to the expert user undertaking the alignment task.
- Publisher
- iSchools
- Series/Report Name or Number
- iConference 2017 Proceedings
- Type of Resource
- text
- Genre of Resource
- Conference Poster
- Language
- en
- Permalink
- http://hdl.handle.net/2142/96727
- Copyright and License Information
- Copyright 2017 Catherine Blauvelt, David M. Weigl, J. Stephen Downie, and Kevin R. Page
Owning Collections
Manage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…