Crowd Sourcing Web Service Annotations

Crowd Sourcing Web Service Annotations

James Scicluna1, Christoph Blank1, Nathalie Steinmetz1 and Elena Simperl2
1seekda GmbH, 2Karlsruhe Institute of Technology

1
© Copyright 2012 SEEKDA GmbH – www.seekda.com

Outline

 Introduction to seekda Web Service search engine

 Web API crawling & identification

 Amazon Mechanical Turk crowdsourcing

 Web Service Annotation wizard


seekda Web Service Search Engine

3

seekda Web Service Search Engine

4

Why crawl for Web APIs?

 Significant growth of Web APIs
 > 5,400 Web APIs on ProgrammableWeb (including SOAP and
REST APIs) [end of 2009: ca. 1,500 Web APIs]
 > 6,500 Mashups on ProgrammableWeb (combining Web APIs
from one or more sources)
 SOAP services are only a small part of the overall available
public services

5

Web API Crawling

 Problem:
 Web APIs are
described by regular
HTML pages
 No standardized
structure that helps
with the
identification

6

Web API Identification

 Solution: Crawl for Web APIs
 Approach 1: Manual Feature Identification Approach
 Taking into account HTML structure (e.g., title, mark-up), syntactical
properties of used language (e.g., camel-cased words), and link
properties of pages (ratio external links / internal links)
 Approach 2: Automatic Classification Approach
 Text Classification, supervised learning (Support Vector Machine
model)
 Training set: APIs from ProgrammableWeb

 But: still needed human confirmation to be sure

7

New Search Engine Prototype

8

Prototype – User Contributions

 Web API – yes/no: confirmation from
human needed!
 Other annotations that help improve
the search for Web Services
 Categories
 Tags
 Natural Language descriptions
 Cost: Free or paid service

9

Problem - User Contribution

 Problem:
 Users/developers don’t contribute enough
 Hard to motivate them to provide annotations
 Community recognition or peer respect not enough
 Solution: crowdsourcing the annotations, pay people to
provide annotations
 Use Amazon Mechanical Turk
 Bootstrap annotations quickly and cheap

10

Service Annotation Wizard (1/4)

11


12


13


14

Amazon Mechanical Turk – Iteration 1

Number of Submissions 70
Reward per task $0.10
Restrictions none

 Annotation Wizard
 Web API Yes/No
 Assign a category
 Assign tags
 Provide a natural language description
 Determine whether page is documentation, pricing or listing
 Rate the service

15

Amazon Mechanical Turk – Iteration 1

 Results
 21 APIs correctly identified as APIs
 28 Web documents (non APIs) identified correctly as non APIs
 49/70 correctly identified (70% accuracy)
 Average task completion time: 2:20 min
 But, only:
 4 well done & complete annotations
 8 acceptable annotations (non complete)

16

Amazon Mechanical Turk – Iterations 2 & 3

Iteration 2 Iteration 3
Number of Submissions 100 150
Reward per task $0.20 $0.20
Restrictions yes yes

 Annotation Wizard
 Removed page type identification & service rating
 For a task to be accepted:
 At least one category must be assigned
 At least 2 tags must be provided
 A meaningful description must be provided

17

Amazon Mechanical Turk – Iteration 2 & 3

 Results Iteration 2 & 3:
 Ca. 80% of documents correctly identified
 Very satisfying annotations
 Average completion time: 2:36 min

18

Amazon Mechanical Turk – Survey

 48 survey submissions
 Female 18, Male 30
 Most popular origins: India (27) and USA (9)
 Popular age groups:
 15-22 (12)
 23-30 (18)
 31-50 (16)
 Most of them worked in some IT profession
 Provided best quality annotations

19

Amazon Mechanical Turk

 Recommendations for further improvement:
 Improve task description, especially ‘what is a Web API’
 Better examples (e.g., hinting what makes a false page false)
 Allow assignment of multiple categories

 Conclusion:
 Very positive results  good way to get quality annotations
 Results will help provide better search experience to users
 Results can be used as positive set for automatic classification

20

Questions?

21

Crowd Sourcing Web Service Annotations

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (19)

Destaque

Destaque (9)

Semelhante a Crowd Sourcing Web Service Annotations

Semelhante a Crowd Sourcing Web Service Annotations (20)

Mais de INSEMTIVES project

Mais de INSEMTIVES project (18)

Último

Último (20)

Crowd Sourcing Web Service Annotations