Profiling Web Archive Coverage for Top-Level Domain and Content Language
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The document discusses a methodology for profiling public web archives across various dimensions, including top-level domains, languages, and growth rates. It presents an experiment that utilizes different sources and samples URIs to analyze web archive coverage and query routing for archived resources. The findings reveal broad coverage by the Internet Archive and other national archives, with a significant portion of mementos accessible through key archives.
![Sampling URIs - DMOZ
1. DMOZ:Random
o 10,000 URIs randomly sampled from DMOZ directory (~5M URIs).
2. DMOZ:TLD - 2% for each TLD from DMOZ or 100 URIs
whichever is greater
o 52 TLDs (com 23,470) (de 6,332), (org 4,025), (uk 3,309), (net
2,073), (it 1,775), (jp 1379), (ru 1244), (fr 1154), (pl 1062), (au
764), (ca 642), (at 438), (edu 390), (cz 385), (tr 334), (info 319),
(cn 278), (us 266), (nz 265), (es 238), (ar 213), (no 150), (br 149),
(tw 141), (za 118), (fi 113), ( 100 URIs for [ae, cat, cl, cu, eg, gov,
id, in, ir, is, ke, kr, ma, mt, mx, my, na, pe, pk, pt, sa, to, uy,
zw])
3. DMOZ:Languages - 100 URIs for each language
o 24 languages: Icelandic, Portuguese, Catalan, Afrikaans, Arabic,
Indonesian, Chinese (Simplified), Chinese (Traditional), Dutch,
Spanish, French, Greek, Hindi, Italian, Japanese, Korean,
Norwegian, Persian, Polish , Russian, Turkish, Ukrainian
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Profiling Web Archive Coverage for Top-Level Domain and Content Language
- 1. Profiling Web Archive Coverage for Top-Level Domain &Content Language Ahmed AlSum, Michele C. Weigle, Michael L. Nelson, Herbert Van de Sompel International Conference on Theory and Practice of Digital Libraries September 22-26, 2013 Valletta, Malta 1
- 2. 2
- 3. Where to find Mementos for … 3 http://www.japantimes.co.jp/
- 4. Where to find Mementos for … 4 http://www.japantimes.co.jp/
- 5. Where to find Mementos for … 5 http://www.google.com/
- 6. Where to find Mementos for … 6 http://www.google.com/
- 7. Research Question Problem • Profile public web archives according to the following dimensions: o Top-level domains o Languages o Growth rate o Archival date Motivation • To determine who is archiving what • To optimize the query routing for a Memento Aggregator 7
- 8. Web Archives in this Experiment Full text URI-lookup Internet Archive √ Library of Congress √ Icelandic Web Archive √ Library and Archives Canada √ √ British Library √ √ UK National Library √ √ Portuguese Web Archive √ √ Web Archive of Catalonia √ √ Croatian Web Archive √ √ Archive of the Czech Web √ √ National Taiwan University √ √ Archive It √ √ 8
- 9. Experiment Set Up • Sample URIs from different sources o Details coming up • Retrieve the TimeMap for each URI from all archives o A TimeMap lists all Mementos for a given URI o A Memento is an archived version of a resource • Analyze o Details coming up 9
- 10. Sampling URIs Web 1. DMOZ:Random 2. DMOZ:TLD - 2% of each TLD from DMOZ (.com, .org, .jp, etc 52 TLD) 3. DMOZ:Languages - 100 URIs for each Languages (24 lang.) Web Archives Full Text 4. Top 1-Gram from Bing 5. Top 1000 queries term by Yahoo in 9 languages User requests 6. IA Wayback Machine Log files 7. Memento aggregator log files 10
- 11. Sampling URIs - DMOZ 1. DMOZ:Random o 10,000 URIs randomly sampled from DMOZ directory (~5M URIs). 2. DMOZ:TLD - 2% for each TLD from DMOZ or 100 URIs whichever is greater o 52 TLDs (com 23,470) (de 6,332), (org 4,025), (uk 3,309), (net 2,073), (it 1,775), (jp 1379), (ru 1244), (fr 1154), (pl 1062), (au 764), (ca 642), (at 438), (edu 390), (cz 385), (tr 334), (info 319), (cn 278), (us 266), (nz 265), (es 238), (ar 213), (no 150), (br 149), (tw 141), (za 118), (fi 113), ( 100 URIs for [ae, cat, cl, cu, eg, gov, id, in, ir, is, ke, kr, ma, mt, mx, my, na, pe, pk, pt, sa, to, uy, zw]) 3. DMOZ:Languages - 100 URIs for each language o 24 languages: Icelandic, Portuguese, Catalan, Afrikaans, Arabic, Indonesian, Chinese (Simplified), Chinese (Traditional), Dutch, Spanish, French, Greek, Hindi, Italian, Japanese, Korean, Norwegian, Persian, Polish , Russian, Turkish, Ukrainian 11
- 12. • Query the fulltext search interface of select web archives with two sets of query terms. 4. Top 1-Gram from Bing o Most are English 5. Top 1000 query terms from Yahoo in 9 languages o Excluding general keywords such as: Obama, Facebook. 12 Sampling URIs – Web Archives Full Text
- 13. Chinese English French German Italian Japanese Korean Portuguese Spanish Yahoo Bing rchivewithFullTextsearch AIT 26 2066 3512 3837 3321 119 2 2434 214 1 12617 3953 BL 163 2354 2350 2240 2068 225 131 1940 205 6 6430 3187 CAN 49 800 804 646 601 77 113 580 514 1351 1107 CR 54 706 697 703 701 74 19 599 600 1599 1201 CZ 363 1782 1578 1695 1519 577 114 1310 127 8 6081 3360 CAT 28 2775 2496 2448 2280 209 129 2164 242 9 8996 4241 PO 91 2460 3603 3081 3113 53 69 3267 317 7 14126 5004 TW 357 178 176 165 157 106 7 198 119 1004 354 13 Sampling URIs – Web Archives Full Text
- 14. Chinese English French German Italian Japanese Korean Portuguese Spanish Yahoo Bing rchivewithFullTextsearch AIT 26 2066 3512 3837 3321 119 2 2434 214 1 12617 3953 BL 163 2354 2350 2240 2068 225 131 1940 205 6 6430 3187 CAN 49 800 804 646 601 77 113 580 514 1351 1107 CR 54 706 697 703 701 74 19 599 600 1599 1201 CZ 363 1782 1578 1695 1519 577 114 1310 127 8 6081 3360 CAT 28 2775 2496 2448 2280 209 129 2164 242 9 8996 4241 PO 91 2460 3603 3081 3113 53 69 3267 317 7 14126 5004 TW 357 178 176 165 157 106 7 198 119 1004 354 14 Sampling URIs – Web Archives Full Text
- 15. Sampling URIs – User Requests • Sampling from user requests for archived web resources 6. Sample from IA Wayback Machine Log files o 1,000 URIs randomly sampled from Feb 22, 2012 to Feb 26, 2012. 7. Sample from Memento Aggregator log files o 100 URIs randomly sampled from LANL Memento Aggregator between 2011 to 2013. 15
- 16. Archive Coverage per Sample 16 1 0 0 % 3 5 % Entire Sample
- 17. TLD Coverage across Archives (1) 17 Entire Sample
- 18. TLD Coverage across Archives (2) 18 Entire Sample
- 19. TLD Distribution per Archive 19 DMOZ:TLD Sample
- 20. TLD Distribution per Archive 20 Web Archives Full Text Sample
- 21. Language Coverage per Archive 21 DMOZ Sample
- 22. Archive Growth Rate 22 Entire Sample
- 23. TLD Coverage across Archives 23 Entire Sample
- 25. Conclusions • Introduced automated methodology to profile web archives using available infrastructure, no privileged access • Coverage: o Internet Archive provides broad coverage o National archives have good coverage for their domains o Surprising coverage by certain archives • Query Routing: o In 84% of the cases, all existing Mementos for a TLD can be found by using IA and two additional top archives for a TLD o In 55% of the cases, all existing Mementos for a TLD can be found by using the top 3 archives for a TLD, excluding IA 25