Exploiting text-rich descriptions for faceted discovery of web resources
Pages 98 - 105
Abstract
Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources such as web services or databases. While sophisticated standards have been produced for annotating these resources with rich, well-structured metadata, evidence shows that in open registries a majority of annotations simply consists of informal free text descriptions. This reality must be taken into account in order to develop effective techniques for resource discovery in the Life Sciences.
In this work we propose a method for resource discovery which is able to exploit such textual descriptions to find relevant resources. It is a requirement-driven approach, in which the user specifies informational needs as a target task and a set of facets of interest, expressed using free text.
We have conducted several experiments on resources extracted from the BioCatalogue registry. For a sample set of queries that reflect common Bioinformatics-related research questions, the results show that our method is effective and provides useful answers.
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Index Terms
- Exploiting text-rich descriptions for faceted discovery of web resources
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Published In
December 2011
139 pages
ISBN:9781450310765
DOI:10.1145/2166896
- Conference Chairs:
- Adrian Paschke,
- Albert Burger,
- Paolo Romano,
- M. Scott Marshall,
- Andrea Splendiani
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- NCBO: National Center for BioMedical Ontology
- BioMed Central: BioMed Central
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Published: 07 December 2011
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SWAT4LS '11
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- Corporate Semantic Web
- BBRC
- NCBO
- BioMed Central
SWAT4LS '11: 4th Int. Workshop on Semantic Web Applications and Tools for Life Sciences
December 7 - 9, 2011
London, United Kingdom
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