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Output details

11 - Computer Science and Informatics

University of Aberdeen

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Output 29 of 74 in the submission

Output title

Feature LDA : A supervised topic model for automatic detection of web API documentations from the web

Type

E - Conference contribution

DOI

10.1007/978-3-642-35176-1_21

Name of conference/published proceedings

The Semantic Web - ISWC 2012 : 11th International Semantic Web Conference Boston, MA, USA, November 11-15, 2012 Proceedings, Part I

Volume number

7649

Issue number

First page of article

328

ISSN of proceedings

Year of publication

2012

URL

Number of additional authors

Additional information

<22> ISWC is widely considered to be the foremost conference in semantic web research. This full ISWC paper (20% acceptance rate), funded by the FP7 project VPH-Share (http://www.vph-share.eu/), presents a supervised generic probabilistic framework to text classification, which outperforms current state-of-the-art supervised approaches in detecting Web API documentations from the Web. The model has now served as the main component for iServe (http://iserve.kmi.open.ac.uk/), a Web API search engine and service warehouse funded by three FP7 projects: VPH-Share, SOA4ALL and COMPOSE.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract