research-article

iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling

Authors:

Gerhard Gossen,

Elena Demidova,

Thomas RisseAuthors Info & Claims

JCDL '15: Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries

Pages 75 - 84

https://doi.org/10.1145/2756406.2756925

Published: 21 June 2015 Publication History

Abstract

Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and fresh Web collections. Especially Social Media provide a rich source of fresh content, which is not used by state-of-the-art focused crawlers. In this paper we address the issues of enabling the collection of fresh and relevant Web and Social Web content for a topic of interest through seamless integration of Web and Social Media in a novel integrated focused crawler. The crawler collects Web and Social Media content in a single system and exploits the stream of fresh Social Media content for guiding the crawler.

References

[1]

Apache Nutch: Highly extensible, highly scalable Web crawler. Available online: http://nutch.apache.org/ (accessed on 23 October 2014).

[2]

S. Abiteboul, M. Preda, and G. Cobena. Adaptive on-line page importance computation. In World Wide Web Conference, WWW '03, 2003. 10.1145/775152.775192.

Digital Library

[3]

C. Aggarwal, F. Al-Garawi, and P. S. Yu. Intelligent crawling on the world wide web with arbitrary predicates. In World Wide Web Conference, pages 96--105, 2001. 10.1145/371920.371955.

Digital Library

[4]

L. Aiello, G. Petkos, C. Martin, D. Corney, S. Papadopoulos, R. Skraba, A. Goker, I. Kompatsiaris, and A. Jaimes. Sensing trending topics in twitter. IEEE Transactions on Multimedia, 15 (6): 1268--1282, Oct 2013. 10.1109/TMM.2013.2265080.

Digital Library

[5]

D. Bergmark, C. Lagoze, and A. Sbityakov. Focused crawls, tunneling, and digital libraries. In Research and Advanced Technology for Digital Libraries. Springer, 2002.

Digital Library

[6]

M. Boanjak, E. Oliveira, J. Martins, E. Mendes Rodrigues, and L. Sarmento. Twitterecho: A distributed focused crawler to support open research with twitter data. In World Wide Web Conference Companion, pages 1233--1240, 2012. 10.1145/2187980.2188266.

Digital Library

[7]

M. Bouzeghoub. A framework for analysis of data freshness. In Proceedings of the Workshop on Information Quality in Information Systems, IQIS '04, pages 59--67, 2004. 10.1145/1012453.1012464.

Digital Library

[8]

S. Chakrabarti, M. van den Berg, and B. Dom. Focused crawling: a new approach to topic-specific web resource discovery. Computer Networks, 31 (11--16): 1623--1640, 1999. 10.1016/S1389--1286(99)00052--3.

Digital Library

[9]

M. Diligenti, F. Coetzee, S. Lawrence, C. L. Giles, and M. Gori. Focused crawling using context graphs. In Conference on Very Large Data Bases, pages 527--534, 2000.

Digital Library

[10]

A. Dong, Y. Chang, R. Zhang, Z. Zheng, G. Mishne, J. Bai, K. Buchner, C. Liao, S. Ji, G. Leung, et al. Incorporating recency in network search using machine learning, Apr. 21 2011. US Patent App. 12/579,855.

[11]

H. Dong and F. K. Hussain. SOF: a semi-supervised ontology-learning-based focused crawler. Concurrency and Computation: Practice and Experience, 25 (12): 1755--1770, 2013.

[12]

M. Ehrig and A. Maedche. Ontology-focused crawling of web documents. In ACM Symposium on Applied Computing, pages 1174--1178, 2003. 10.1145/952532.952761.

Digital Library

[13]

G. Gossen, E. Demidova, and T. Risse. The iCrawl Wizard -- supporting interactive focused crawl specification. In Proceedings of the European Conference on Information Retrieval (ECIR) 2015, 2015.

[14]

J. Jiang, X. Song, N. Yu, and C.-Y. Lin. Focus: Learning to crawl web forums. IEEE Transactions on Knowledge and Data Engineering, 25 (6): 1293--1306, June 2013. 10.1109/TKDE.2012.56.

Digital Library

[15]

e}manning2008C. D. Manning, P. Raghavan, and H. Schütze. Introduction to Information Retrieval. Cambridge University Press, New York, NY, USA, 2008. ISBN 0521865719.

[16]

G. Mohr, M. Kimpton, M. Stack, and I. Ranitovic. Introduction to Heritrix, an archival quality web crawler. In 4th International Web Archiving Workshop (IWAW04), 2004.

[17]

C. Olston and M. Najork. Web crawling. Foundations and Trends in Information Retrieval, 4 (3): 175--246, 2010. 10.1561/1500000017.

Digital Library

[18]

G. Pant and P. Srinivasan. Learning to crawl: Comparing classification schemes. ACM Transactions on Information Systems, 23 (4): 430--462, Oct. 2005. 10.1145/1095872.1095875.

Digital Library

[19]

P. Pereira, J. Macedo, O. Craveiro, and H. Madeira. Time-aware focused web crawling. In European Conference on IR Research, ECIR 2014, pages 534--539, 2014. 10.1007/978--3--319-06028--6_53.

[20]

F. Psallidas, A. Ntoulas, and A. Delis. Soc web: Efficient monitoring of social network activities. In Web Information Systems Engineering 2013, pages 118--136. Springer, 2013. 10.1007/978--3--642--41154-0_9.

[21]

J. Qin, Y. Zhou, and M. Chau. Building domain-specific web collections for scientific digital libraries. In Joint ACM/IEEE Conference on Digital Libraries, 2004, pages 135--141, June 2004. 10.1109/JCDL.2004.1336110.

Digital Library

[22]

T. Risse, E. Demidova, S. Dietze, W. Peters, N. Papailiou, K. Doka, Y. Stavrakas, V. Plachouras, P. Senellart, F. Carpentier, A. Mantrach, B. Cautis, P. Siehndel, and D. Spiliotopoulos. The ARCOMEM architecture for social- and semantic-driven web archiving. Future Internet, 6 (4): 688--716, 2014. ISSN 1999--5903.

[23]

T. Risse, E. Demidova, and G. Gossen. What do you want to collect from the web? In Proc. of the Building Web Observatories Workshop (BWOW) 2014, 2014.

[24]

H. M. SalahEldeen and M. L. Nelson. Losing my revolution: How many resources shared on social media have been lost? In Theory and Practice of Digital Libraries, pages 125--137. Springer, 2012. 10.1007/978--3--642--33290--6_14.

Digital Library

[25]

X. Tannier. Extracting news web page creation time with DCTFinder. In Conference on Language Resources and Evaluation (LREC-2014), pages 2037--2042, 2014.

[26]

S. Yang, K. Chitturi, G. Wilson, M. Magdy, and E. A. Fox. A study of automation from seed URL generation to focused web archive development: The CTRnet context. In Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12, pages 341--342, 2012. 10.1145/2232817.2232881.

Digital Library

Cited By

Martinez-Castano RLosada DPichel J(2022)Real-Time Focused Extraction of Social Media UsersIEEE Access10.1109/ACCESS.2022.316897710(42607-42622)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3168977
Demidova ERisse T(2021)Creating Event-Centric Collections from Web ArchivesThe Past Web10.1007/978-3-030-63291-5_6(57-67)Online publication date: 1-Jul-2021
https://doi.org/10.1007/978-3-030-63291-5_6
Jayawardana YNwala AJayawardena GWu JJayarathna SNelson MLee Giles C(2020)Modeling Updates of Scholarly Webpages Using Archived Data2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377796(1868-1877)Online publication date: 10-Dec-2020
https://doi.org/10.1109/BigData50022.2020.9377796
Show More Cited By

Index Terms

iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Digital libraries and archives

Recommendations

Current challenges in web crawling
ICWE'13: Proceedings of the 13th international conference on Web Engineering

Web crawling, a process of collecting web pages in an automated manner, is the primary and ubiquitous operation used by a large number of web systems and agents starting from a simple program for website backup to a major web search engine. Due to an ...
BioCrawler: An intelligent crawler for the semantic web

Web crawling has become an important aspect of web search, as the WWW keeps getting bigger and search engines strive to index the most important and up to date content. Many experimental approaches exist, but few actually try to model the current ...
Exploiting genre in focused crawling
SPIRE'07: Proceedings of the 14th international conference on String processing and information retrieval

In this paper, we propose a novel approach to focused crawling that exploits genre and content-related information present in Web pages to guide the crawling process. The effectiveness, efficiency and scalability of this approach are demonstrated by a ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

JCDL '15: Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries

June 2015

324 pages

ISBN:9781450335942

DOI:10.1145/2756406

General Chairs:
Paul Logasa Bogen
Google, USA
,
Suzie Allard
School of Information Sciences, University of Tennessee, USA
,
Holly Mercer
University Libraries, University of Tennessee, USA
,
Micah Beck
University of Tennessee, USA
,
Program Chairs:
Sally Jo Cunningham
Waikato University, New Zealand
,
Dion Goh
Wee Kim Wee School of Communication and Information, Nanyang Technical University, Singapore
,
Geneva Henry
University Libraries, The George Washington University, USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
IEEE Technical Committee on Digital Libraries (TC DL)

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Conference

JCDL '15

Sponsor:

JCDL '15: 15th ACM/IEEE-CS Joint Conference on Digital Libraries

June 21 - 25, 2015

Tennessee, Knoxville, USA

Acceptance Rates

JCDL '15 Paper Acceptance Rate 18 of 60 submissions, 30%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

Upcoming Conference

JCDL '24

Sponsor:
sigir
sigir

The 2024 ACM/IEEE Joint Conference on Digital Libraries

December 16 - 20, 2024

Hong Kong , China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
306
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)2

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Martinez-Castano RLosada DPichel J(2022)Real-Time Focused Extraction of Social Media UsersIEEE Access10.1109/ACCESS.2022.316897710(42607-42622)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3168977
Demidova ERisse T(2021)Creating Event-Centric Collections from Web ArchivesThe Past Web10.1007/978-3-030-63291-5_6(57-67)Online publication date: 1-Jul-2021
https://doi.org/10.1007/978-3-030-63291-5_6
Jayawardana YNwala AJayawardena GWu JJayarathna SNelson MLee Giles C(2020)Modeling Updates of Scholarly Webpages Using Archived Data2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377796(1868-1877)Online publication date: 10-Dec-2020
https://doi.org/10.1109/BigData50022.2020.9377796
Bakar N(2020)The Development of an Integrated Corpus for Malay LanguageComputational Science and Technology10.1007/978-981-15-0058-9_41(425-433)Online publication date: 2020
https://doi.org/10.1007/978-981-15-0058-9_41
Tempelmeier NRietz YLishchuk IKruegel TMumm OMiriam Carlow VDietze SDemidova E(2019)Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban RegionsCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3317055(137-145)Online publication date: 13-May-2019
https://dl.acm.org/doi/10.1145/3308560.3317055
Nwala AWeigle MNelson MLee DSastry NWeber I(2018)Bootstrapping Web Archive Collections from Social MediaProceedings of the 29th on Hypertext and Social Media10.1145/3209542.3209560(64-72)Online publication date: 3-Jul-2018
https://dl.acm.org/doi/10.1145/3209542.3209560
Gossen GRisse TDemidova E(2018)Towards extracting event-centric collections from Web archivesInternational Journal on Digital Libraries10.1007/s00799-018-0258-6Online publication date: 27-Oct-2018
https://doi.org/10.1007/s00799-018-0258-6
Farag MLee SFox E(2018)Focused crawler for eventsInternational Journal on Digital Libraries10.1007/s00799-016-0207-119:1(3-19)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s00799-016-0207-1
Gottschalk SDemidova E(2018)EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge GraphThe Semantic Web: ESWC 2018 Satellite Events10.1007/978-3-319-98192-5_31(164-169)Online publication date: 3-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-98192-5_31
Gottschalk SDemidova E(2018)EventKG: A Multilingual Event-Centric Temporal Knowledge GraphThe Semantic Web10.1007/978-3-319-93417-4_18(272-287)Online publication date: 3-Jun-2018
https://doi.org/10.1007/978-3-319-93417-4_18
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents