Datasets of Dynamic Objects on the Web

Department of Computer Science, UC Irvine

Contributors

Overview

Many applications need to retrieve information about objects from remote Web sources that are autonomous and non-collaborative. An example is a service provider (e.g., Monster.com) that is specific to a certain application domain such as jobs. For such applications, it is critical to understand how the objects at the remote sources change over time. Such information can help the application decide a good crawling schedule in order to maintain a high quality of its data while it does not overuse network resources.

 

In order to gain an insight on how data objects on the Web change over time, we have collected data objects from six Web sources in four domains, including books, cars, forums, and jobs. Our crawlers collected data objects from these sites during a period of one and a half years on a daily basis. The following table gives an overview of the collected data (with the Web sites anonymized):

 

Table 1: Overview of the collected data objects

Domain

Web Source (# of categories)

Crawling Period

# of Objects

Cars

Car Web source 1 (10 models)

10 months (2006/1 - 2006/11)

42,543

Cars

Car Web source 2 (10 models)

13 months (2005/10 - 2006/11)

46,311

Jobs

Job Web source 1 (7 categories)

4 months (2006/6 - 2006/10)

31,157

Jobs

Jobs Web source 2 (2 categories)

2 months (2006/12 - 2007/2)

2,500

Books

Book Web source (3 categories)

4 months (2005/8 - 2005/12)

3,315

Forums

Forums Web source (4 categories)

2 months (2006/12-2007/02 )

25,392

We publish the collected data for researchers who want to study dynamics of Web objects.


Publications

  1. Quality-Aware Retrieval of Data Objects from Autonomous Sources for Web-Based Repositories, Houtan Shirani-Mehr, Chen Li, Gang Liang, Michal Shmueli-Scheuer, ICDE 2008 (poster). [PDF]

 

Index

         Web Sources

o        Car Web source 1

o        Car Web source 2

o        Job Web source 1

o        Job Web source 2

o        Book Web source

o        Forums Web source

         Reference

         Acknowledgements


Car Web source 1 (Download the dataset)

This Web source is one of the Web sources in the car domain we crawled. We crawled the data for the 10 different car models shown in Table 2.

Table 2: Different Model and make of the crawled cars

Make

Model

BMW

3

BMW

5

Ford

Explorer

Ford

Focus

Ford

F150

Honda

Accord

Honda

Civic

Toyota

Camry

Toyota

Corolla

Dodge

Durango

 The schema of the collected data is the following:

Table 3:  Schema of collected data

cid

mileage

year

crDate

price

make

model

Internal Web source database ID of the car entry

Mileage of the car

The year in which the car is built

The crawling date

The price of the car

Make of the car

Model of the car

 The crawled data covers 42,543 different cars from the following intervals (dates are in YYYY-MM-DD format):

 


Car Web source 2 (Download the dataset)

Ten different car models at this Web source were crawled (the models are the same as the models in Table 2).  The schema of the collected data is the following:

Table 4:  Schema of collected data

cid

year

price

make

model

crDate

Internal Web source database ID of the car entry

The year in which the car is built

The price of the car

Make of the car

Model of the car

The crawling date

The crawled data covers 46,311 different cars from the following intervals (dates are in YYYY-MM-DD format):

 


Jobs Web source 1 (Download the dataset)

We crawled seven different categories of jobs. We anonymized the category of object to make data confidential. The schema of the collected objects is the following:

Table 5:  Schema of collected data

id

cat

crDate

postDate

Internal Web source database ID of the job entry

Job category

The crawling date

Posting date of the job (as shown on the Web source)

The collected data includes 31,157 jobs and spans the following intervals (dates are in YYYY-MM-DD format):


Job Web source 2 (Download the dataset)

The jobs with the category of management and technology were crawled from this Web source. The schema of the data is the following:

Table 6:  Schema of collected data

postDate

id

cat

crDate

Posting date of the job which is shown on the Web source

Internal Web source database ID of the job entry (job ID) 

Job category

The crawling date

The collected data contains 2,500 jobs and spans the following intervals (dates are in YYYY-MM-DD format):


Book Web source (Download the dataset)

Books with three different subjects are crawled from this Web source: books on Java, Linux and DBMS (database management systems).  The schema of the data is the following:

Table 7:  Schema of collected data

id

price

topic

crDate

Internal Web source database ID of the book entry

Price of the book

The topic of the book (subject of the book)

The crawling date

The collected data contains 3,315 books and spans the following intervals (dates are in YYYY-MM-DD format):


Forums Web source (Download the dataset)

Four different kinds of posts were crawled which are anonymized to make it data confidential. The schema of the collected objects is the following:

Table 8:  Schema of collected data

id

cat

crDate

replies

Internal Web source database ID of the post entry

Post category

The crawling date

Number of replies to the post

The collected data objects for this Web source contains 25,392 posts and spans the following intervals (dates are in YYYY-MM-DD format):

 

Reference:

 


This project is partially supported by the NSF CAREER Award, No. IIS-0238586 and a Smith Faculty Seed Fund of ICS at UCI.

If you have any questions about these datasets, please contact Houtan Shirani-Mehr (hshirani AT uci.edu) or Chen Li (chenli AT ics.uci.edu).