The document discusses website archivability and presents CLEAR, a method for evaluating the archivability of websites. CLEAR assesses website attributes like accessibility, cohesion, metadata, performance, and standards compliance to determine an overall archivability score. It was developed to help automate quality assurance for web archives by providing credible, live measurements of how completely and accurately a website can be archived. The authors also describe a demonstration of CLEAR called ArchiveReady.com and discuss the potential impact of evaluating website archivability for web professionals and archive operators.
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The theory and practice of Website Archivability
1. The Theory and Practice
of Website Archivability
Vangelis Banos1, Yunhyong Kim2, Seamus Ross2, Yannis Manolopoulos1
1Department of Informatics, Aristotle University, Thessaloniki , Greece
2University of Glasgow, United Kingdom
FROM CLEAR TO ARCHIVEREADY.COM
2. 2
Table of Contents
1. Problem definition,
2. CLEAR: A Credible Live Method to
Evaluate Website Archivability,
3. Demo: http://archiveready.com/,
4. Future Work.
3. Problem definition
Web content acquisition is a critical step in
the process of web archiving,
Web bots face increasing difficulties in
harvesting websites,
After web harvesting, archive administrators
review manually the content and endorse or
reject the harvested material,
Key Problem: Web harvesting is automated
while Quality Assurance (QA) is manual.
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4. Website
Archivability ?
What is
Website Archivability captures the core aspects
of a website crucial in diagnosing whether it has
the potentiality to be archived with
completeness and accuracy.
Attention! it must not be confused with website dependability,
reliability, availability, safety, security, survivability, maintainability.
5. CLEAR: A Credible Live Method to Evaluate
Website Archivability
An approach to producing a credible on-the-fly
measurement of Website Archivability, by:
Using standard HTTP to get website elements,
Evaluating information such as file types, content
encoding and transfer errors,
Combining this information with an evaluation of the
website's compliance with recognised practices in
digital curation,
Using adopted standards, validating formats,
assigning metadata
Calculating Website Archivability Score (0 100%)
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8. 8
C L E A R
The method can be summarised as follows:
1. Perform specific Evaluations on Website
Attributes,
2. In order to calculate each Archivability Facets
score,
Scores range from (0 100%),
Not all evaluations are equal, if an important
evaluation fails, score = 0, if a minor
evaluation fails, score = 50%
3. Producing the final Website Archivability as the
sum all Facets scores.
10. Accessibility evaluation
10
Facet Evaluation Rating Total
Accessibility
No RSS feed 50%
50%
No robots.txt 50%
No sitemap.xml 0%
6 links, all valid 100%
http://ipres2013.ist.utl.pt/ Website Archivability evaluation on 23rd April 2013
11. Cohesion
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Dependencies are a great issue in digital curation.
If a website is dispersed across different web
locations (images, javascripts, CSS, CDNs, etc),
the acquisition and ingest is likely to risk suffering if
one or more web locations fail on change.
Web bots may have issues accessing a lot of
different web locations due to configuration issues.
12. Cohesion evaluation
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Facet Evaluation Rating Total
Cohesion
1 external and no internal scripts 0%
70%
4 local and 1 external images 80%
No proprietary (Quicktime & Flash)
files
100%
1 local CSS file 100%
http://ipres2013.ist.utl.pt/ Website Archivability evaluation on 23rd April 2013
13. Metadata
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Metadata are necessary for digital curation and
archiving.
Lack of metadata impairs the ability to manage,
organise, retrieve and interact with content.
Web content metadata may be:
Syntactic: (e.g. content encoding, character set)
Semantic: (e.g. description, keywords, dates)
Pragmatic: (e.g. FOAF, RDF, Dublin Core)
14. Metadata evaluation
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Facet Evaluation Rating Total
Metadata
Meta description found 100%
87%
HTTP Content type 100%
HTTP Page expiration not found 50%
HTTP Last-modified found 100%
http://ipres2013.ist.utl.pt/ Website Archivability evaluation on 23rd April 2013
15. Performance
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Calculate the average network response time for all
website content.
The throughput of web spider data acquisition
affects the number and complexity of the web
sources it can process.
Performance evaluation:
Facet Evaluation Rating Total
Performance Average network response
time is 0.546ms
100% 100%
http://ipres2013.ist.utl.pt/ Website Archivability evaluation on 23rd April 2013
16. Standards Compliance
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Digital curation best practices recommend that web
resources must be represented in known and
transparent standards, in order to be preserved.
17. Standards Compliance evaluation
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Facet Evaluation Rating Total
Standards
Compliance
1 Invalid CSS file 0%
87%
Invalid HTML file 0%
Meta description found 100%
No HTTP Content encoding 50%
HTTP Content Type found 100%
HTTP Page expiration found 100%
HTTP Last-modified found 100%
No Quicktime or Flash objects 100%
5 images found and validated with JHOVE 100%
http://ipres2013.ist.utl.pt/ Website Archivability evaluation on 23rd April 2013
20. Impact
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1. Web professionals
- evaluate the archivability of their websites
in an easy but thorough way,
- become aware of web preservation concepts,
- embrace preservation-friendly practices.
2. Web archive operators
- make informed decisions on archiving websites,
- perform large scale website evaluations with ease,
- automate web archiving Quality Assurance,
- minimise wasted resources on problematic websites.
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Future Work
1. Not optimal to treat all Archivability Facets as equal.
2. Evaluating a single website page, based on the
assumption that web pages from the same website
share the same components and standards.
Sampling would be necessary.
3. Certain classes and specific types of errors create
lesser or greater obstacles to website acquisition
and ingest than others. Differential valuing of error
classes and types is necessary.
4. Cross validation with web archive data is under way
22. THANK YOU
Vangelis Banos
Web: http://vbanos.gr/
Email: vbanos@gmail.com
ANY QUESTIONS?
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The research leading to these results has
received funding from the European
Commission Framework Programme 7
(FP7), BlogForever project, grant
agreement No.269963.
Editor's Notes
#2: Abstract: Web archiving is crucial to ensure that cultural, scientificand social heritage on the web remains accessible and usableover time. A key aspect of the web archiving process is opti-mal data extraction from target websites. This procedure isdifficult for such reasons as, website complexity, plethora ofunderlying technologies and ultimately the open-ended na-ture of the web. The purpose of this work is to establishthe notion of Website Archivability (WA) and to introducethe Credible Live Evaluation of Archive Readiness (CLEAR)method to measureWA for any website. Website Archivabil-ity captures the core aspects of a website crucial in diagnos-ing whether it has the potentiality to be archived with com-pleteness and accuracy. An appreciation of the archivabilityof a web site should provide archivists with a valuable toolwhen assessing the possibilities of archiving material and in-fluence web design professionals to consider the implicationsof their design decisions on the likelihood could be archived.A prototype application, archiveready.com, has been estab-lished to demonstrate the viabiity of the proposed methodfor assessing Website Archivability.
#4: Web content acquisition is a critical step in the process of web archiving;If the initial Submission Information Package lacks completeness and accuracy for any reason (e.g. missing or invalid web content), the rest of the preservation processes are rendered useless;There is no guarantee that web bots dedicated to retrieving website content can access and retrieve it successfully;Web bots face increasing difficulties in harvesting websites.Efforts to deploy crowdsourced techniques to manage QA provide an indication of how significant the bottleneck is.Dirty data -> useless systemAs websites become more sophisticated and complex, the difficulties that web bots face in harvesting them increase.For instance, some web bots have limited abilities to process GIS les, dynamic web content, or streaming media [16]. Toovercome these obstacles, standards have been developed to make websites more amenable to harvesting by web bots.Two examples are the Sitemaps.xml and Robots.txt protocols. Such protocols are not used universally.
#5: Website archivability must not be confused with website dependability, the former refers to the ability to archive a website while the latter is a system property that integrates such attributes as reliability, availability, safety, security, survivability and maintainability[1].Support web archivists in decision making, in order to improve the quality of web archives.Expand and optimize the knowledge and practices of web archivists.Standardize the web aggregation practices of web archives, especially QA.Foster good practices in web development, make sites more amenable to harvesting, ingesting, and preserving.Raise awareness among web professionals regarding preservation.
#7: The concept of CLEAR emerged from our current research in web preservation in the context of the BlogForever project which involves weblog harvesting and archiving. Our work revealed the need for a method to assess website archive readiness in order to support web archiving workflows.
#21: Already contacted by the following institutionsThe Internet Archive,University of Manchester,Columbia University Libraries,Society of California Archivists General Assembly,Old Dominion University, Virginia, USA,Digital Archivists in Netherlands.
#22: For instance Metadata breadth and depth might be critical for a particular web archiving research task andtherefore in establishing the archivability score for a particular site the user may which to instantiate this thinking incalculating the overall score. A next step will be to introduce a mechanism to allow the user to weight each Archivability Facet to reflect specific objectives.One way to address these concerns might be to apply an ap-proach similar to normalized discounted cummulative gain(NDCG) in information retrieval49: for example, a user canrank the questions/errors to prioritise them for each facet.The basic archivability score can be adjusted to penalise theoutcome when the website does not meet the higher rankedcriteria. Further experimentation with the tool will lead toa richer understanding of new directions in automation inweb archiving.