Artificial Intelligence processes data from Arquivo.pt

Artificial Intelligence AI

Artificial Intelligence (AI), covers various areas of knowledge, such as linguistics and computing, and is present in the new technologies used by citizens on a daily basis.

For example, when we search for information on the Internet and the computer generates an amazingly accurate response, in a language very close to our own.

Natural Language Processing (NLP) is what allows machines to perfect the algorithm that generates these answers tailored to Internet users.

The problem is that natural language processing models have been developed more for the English language and less for Portuguese and other languages with less representation.

The more the processing models are trained on a language, the better they will be able to interpret the complexities of the language. But this is only possible if quality data is available.

Portuguese text collection on Arquivo.pt available for research

Arquivo.pt appears here as the largest Portuguese-language textual dataset in Portugal, available in open access, for researchers to train NLP models.

In recent years, researchers from various research groups and projects have drawn attention to the usefulness of preserved web data for large-scale processing.

Arquivo.pt has more than 1 Petabyte of preserved web content dating back to the 1990s, including everything that can be found on web pages. It’s not just text, but also images, audio files, video, page code and various metadata.

The content is accessible via the search interface and the Arquivo.pt APIs.

In order to make it easier to download archived resources from the web, Arquivo.pt has created indexes for researchers in CDXJ format.

GlórIA, a model for the Portuguese language

One of the projects that used Arquivo.pt to obtain large amounts of text is called GlórIA and is a large-scale language model (LLM) focused on the European Portuguese language.

“Despite the abundance of LLMs for many high-resource languages, the availability of such models remains limited for European Portuguese” as the authors of GlórIA project, Ricardo Lopes, João Magalhães, David Semedo, researchers at the NOVA School of Science and Technology, explain in their article GlórIA – A Generative and Open Large Language Model for Portuguese.

The model used 35 million tokens, or expressions that machines can process, from various sources.

Arquivo.pt contributed a collection of 1.4M European Portuguese archived news and periodicals.

You can try generating text in European Portuguese using the GlórIA API inference on the Hugging Face Model card.

If you want to develop a project or study using Arquivo.pt, you can start your research and, if you need help, contact us.

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Arquivo.pt in the top 3 of government services in Portugal

portugal-digital-awards-2023

Arquivo.pt, Portugal’s national web preservation service, has earned a prominent position by being named one of the top 3 government services in the 2023 Portugal Digital Awards. This recognition is testimony to the crucial role played by Arquivo.pt in the preservation and accessibility of Portugal’s digital heritage.

The three finalists in the category Best Government Project (best digital transformation project in the public administration sector) were Arquivo.pt, the Porto Digital Association and Banco de Portugal, which received the winning award.

Mission and recognition

Arquivo.pt, developed by the FCCN – National Scientific Computing , stands out as an innovative initiative in the field of digital preservation. Its mission is to collect and archive web content, allowing users to access past versions of web pages, documents and other online resources.

portugal-digital-awards-2023

The recognition at the Portugal Digital Awards highlights not only the importance of digital preservation, but also the effectiveness and relevance of Arquivo.pt as a government service. By providing a journey through time via the Internet, this resource becomes a valuable tool for researchers, academics and the general public.

Commitment to digital preservation

Participation in the award underlines Arquivo.pt’s commitment to improving the historical record of the evolution of the Web in Portugal. This service not only contributes to the country’s digital memory, but also facilitates research, promoting understanding of digital evolution over time.

In addition, Arquivo.pt’s distinction reflects FCCN’s ongoing effort to develop and improve innovative services that benefit society. Digital preservation is a crucial component in ensuring that Portugal’s digital heritage is passed on to future generations, and Arquivo.pt fulfills this role in a unique way.

In conclusion, recognition in the Portugal Digital Awards 2023, a competition that received over 300 candidate services, solidifies Arquivo.pt’s position as one of the leading government services at the forefront of digital preservation. This achievement highlights the growing importance of digital preservation in the digital age in which we live.

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Arquivo.pt reaches 1 PetaByte of preserved information!

The collection of 1 PetaByte of content predominantly in Portuguese, accessible to both researchers and ordinary citizens, is a milestone that deserves to be celebrated, in the month of its 16th anniversary.

At Arquivo.pt you can search for information published on the Web in the past, such as:

Discover more pages through the selected pages in the Arquivo.pt Online Exhibitions.

The first European page
News from The New York Times in 2008
European Film Awards 2014

Purpose and mission of the Portuguese Web Archive

Arquivo.pt was created on November 8, 2007 with the aim of preserving content from the Portuguese Web.

In 2013, as a service operated by the Fundação para a Ciência e a Tecnologia (FCT), its mission was formulated as follows: “To promote the preservation of content available on the national Internet, ensuring that it is made available to the scientific community and the general public” (Decreto-Lei no. 55/2013).

In recent years, Arquivo.pt has created new services, such as CitationSaver, which allows researchers to record references to web content in their scientific articles, Memorial and Complete page, which facilitate access to content scattered throughout the huge 1 PetaByte block of data.

Where did so much information come from?

In order to reach the 1 PetaByte volume, Arquivo.pt periodically recorded content from websites in the .PT domain and from Portuguese websites in other domains.

In addition, frequent daily and monthly collections were made from a small number of government sites and the main news sites in Portugal.

As part of international collaborations, content was collected from sites in various languages, for example on the 2019 European Elections.

Content prior to 2008 came from the Internet Archive and donations, such as a collection made by the National Library and INESC on the 2005 Legislative Elections.

The largest Portuguese-language dataset available to researchers

By making 1 PetaByte of information available, in open access and through the use of APIs (Application Programming Interfaces), Arquivo.pt is a useful tool for research.

For example, a researcher who wants to do a study on elections in Portugal can use the entire Arquivo.pt collection. Better still, they can focus on just a few special collections dedicated to the elections, choosing the ones that interest them and downloading just a few Terabytes to process automatically with the APIs.

Contributions from the various teams and friends of Arquivo.pt

The development of Arquivo.pt is more than a technological issue and has been due to the dedication and persistence of the various teams that have worked on it since 2007.

It was also due to the contribution of many friends of Arquivo.pt, who were always on hand to help improve, and to the response of the user community.

Congratulations to all! Thank you.

Arquivo404 more powerful!

Arquivo.pt has been launching innovative complementary services useful for organizations to optimize their functioning.

The new release of Arquivo.pt named Helios was launched on November 13, 2023 and includes developments in Arquivo404 and CitationSaver.

Arquivo404 with new methods for defining time intervals

Arquivo404 is a service that presents website users with links to web-archived versions, instead of laconic “Page not found” error messages.

However, sometimes it is necessary to specify the correct version of a web-archived page to be displayed. For example, a website’s domain may have belonged to another entity in the past, and only web-archived versions since the website came under its current owners should to be displayed.

For this purpose, 3 new methods for configuring Arquivo404 were released :

  • setMinimumDate( minDate : Date ) – specifies the earliest date of the web-archived version of the URL that can be displayed.
  • setMaximumDate( maxDate : Date ) – specifies the latest date of the web-archived version of the URL that can be displayed.
  • setMostRelevantMemento( criterion : ‘oldest’ | ‘most-recent’ ) – specifies the order of results for the versions retrieved from the web archive. By default, the oldest version is displayed ( ‘oldest’ ).

In short, Arquivo404 now allows you to define whether to display the oldest or most recent web-archived page to the users, within a certain time interval.

CitationSaver processes HTML documents

CitationSaver is a service that extracts citations in documents to online resources and archives them. This service is particularly useful for maintaining the integrity of scientific articles and the reproducibility of the experiments and studies described in them.

Many open-access articles are published in hypertext format (HMTL). CitationSaver now processes documents in HTML format, in addition to PDF and TXT formats.

For example, if a user finds an article on the Web  which contains citations to online resources, he/she simply needs to submit the URL of the article into CitationSaver. The URLs cited in the article will be extracted and their content will be web-archived for later access.

Example of an article from the Journal of Integrated Coastal Management, available on SciELO

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Give us feedback about our services and if you detect any issue, please contact us.

World Digital Preservation Day dedicated to Justice

Last updated on November 13th, 2023 at 08:59 am

The Instituto de Gestão Financeira e Equipamentos da Justiça (IGFEJ) and Secretaria Geral do Ministério da Justiça (SGMJ), in collaboration with BAD, organized the event “Digital Preservation in Justice” to mark World Digital Preservation Day on November 2, 2023.

The event, which took place in the auditorium of the Polícia Judiciária in Lisbon, was attended by representatives from the government’s justice department and professionals from the archives, communications and IT departments.

How to use Arquivo.pt to preserve institutional websites

Arquivo.pt took part in the presentation “Preserve your website”, which addressed the issue of preserving institutional websites and critical aspects such as cybersecurity.

Justice entities can benefit from Arquivo.pt and its various services to ensure good preservation of their websites, mitigate cybersecurity threats and provide historical content to citizens.

The presentation concluded with the following recommendations:

  • Inventory and publicize your current and historical websites
  • Use Arquivo.pt services collaboratively
  • Save content in a standardized format with ArchiveWeb.page

Resources

Prepare a work for the Arquivo.pt Award 2024!

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Last updated on March 4th, 2024 at 10:46 am

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Until May 6, 2024, Arquivo.pt is launching the challenge of creating a work based on  historical information preserved from the Web.

In this 7th edition of the Arquivo.pt Award, €15,000 will be awarded to the 3 best works (€10,000 for 1st place), plus 3 honorable mentions.

Know more at: arquivo.pt/award

Honorable mentions for authors and professors

To promote the use of the Arquivo.pt in the context of teaching, research or professional usage, three partners institutions promoted honorable mentions with an associated prize.

  • The Público newspaper will award an Honorable Mention to works based on the Público online content preserved by Arquivo.pt.
  • The Aveiro Media Competence Center (AMCC) will award an Honorable Mention to the best work on the web archive of one or more Portuguese online media.
  • Association DNS.PT will award an Honorable Mention to a professor or teacher who has encouraged the submission of works.

Share and spread the word!

Help us spreading the word about the Arquivo.pt Award 2024 among potential candidates!

University of Lisbon preserved over 100 historical websites in the Arquivo.pt Memorial

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Last updated on November 21st, 2023 at 03:24 pm

More than 100 historical websites from the Faculty of Sciences of the University of Lisbon (FCUL) are now accessible through the Memorial service of Arquivo.pt.

FCUL’s IT Department sent to Arquivo.pt a list of old websites hosted on its servers that were no longer updated, but whose historical content continues to be interesting to the community (e.g. websites of research projects or scientific events).

Arquivo.pt preserved these websites in collaboration with their ownersa, seeking to maintain a faithful representation of the published content for the future.

FCUL redirected the domain of each website to Arquivo.pt, and then, became able to disconnect the respective servers and  begin sparing the resources spent on their maintenance (e.g. electricity, data center space, human resources).

The show case of MiNEMA

print-memorial-example-minema-project

Landing page of www.minema.di.fc.ul.pt at Memorial do Arquivo.pt.

The MiNEMA scientific program website was the first that FCUL integrated into the Memorial. This website stopped being updated in 2009 when the project ended. FCUL invested resources in maintaining the website for another 10 years until it became necessary to suspend it down for cybersecurity reasons.

The Memorial of Arquivo.pt emerged as an option and since 2020, FCUL just needs to maintain the domain www.minema.di.fc.ul.pt while Arquivo.pt preserveS the information contained on the website.

Please note that the website’s content continues to be displayed in search engine results.

Follow FCUL and preserve your historical websites in the Memorial!

An increasing number of institutions are recurring to the Memorial of Arquivo.pt to safely preserve the content of their historical websites. For example, FCUL preserved 116 websites, the Government IT Network Management Center preserved 23 and the Foundation for Science and Technology preserved 40.

Public institutions have priority to benefit from this service. However, other entities can also request it as long as they own the website domain.

Identify your historical websites candidate to be integrated into the Memorial of Arquivo.pt and contact us!

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Completing webpages from the past: it is possible!

Last updated on October 16th, 2023 at 06:59 pm

Some web-archived pages are reproduced incompletely due to problems occurred during the archiving process (e.g. deformatted or missing embedded images).

Complete page is a function of Arquivo.pt that allows to recover missing elements in web-archived pages, from other web archives or the original websites.

When a user views a page archived in Arquivo.pt, just needs to access the Options menu in the top right corner and choose Complete page.

This process is performed automatically.

How does Complete page work?

If you open a web-archived page that appears incomplete, try the Complete page option and wait.

Arquivo.pt will search for missing elements on the Internet and in other web archives using the Memento protocol. If it succeeds, the obtained elements will be immediately displayed on the web-archived page.

Later, these recovered elements are integrated into the Arquivo.pt collection, so that the web-archived page will appear more complete in the future accesses performed by any user.

complete-page-website-cristina-guerra-en

Completing the home page of artist Cristina Guerra’s website found a missing image.

For example, the website of artist Cristina Guerra archived in 2005 had a missing image. By using Complete page, it was possible in 2021 to obtain this missing image from another web archive which preserved it.

Participate in collaborative curation to improve the quality of Arquivo.pt!

Due to the high number of web-archived pages, it is not possible for Arquivo.pt to complete them all automatically. Therefore, the collaboration of users to identify important pages with missing elements and try to complete them is important.

By using Complete page, the users are contributing to improve the quality of the historical webpages preserved in Arquivo.pt!

Always give it a try to complete web-archived pages may that look incomplete. If you detect any problem, contact us.

Spread the word about the Arquivo.pt Complete page!

Cross-lingual research datasets on 2019 European Parliamentary Elections

Daniel Gomes and Diego Alves at presenting at CLEOPATRA final event

Last updated on March 17th, 2024 at 03:04 pm

Arquivo.pt preserved online documents in several languages about the 2019 European Parliamentary Elections

The 2019 European Parliamentary Elections were an event of international relevance. The strategy to preserve the relevant information on the World Wide Web is delegated to national institutions. However, the preservation of web pages that document transnational events is not officially assigned. 

The Arquivo.pt team, with the aim of preserving the cross-lingual online content that documents this event, applied a combination of human and automatic selection processes.

The process of generating the collection about the 2019 European Parliamentary Elections was performed in two steps.

In the first step, 40 relevant terms in Portuguese about the 2019 European Parliamentary Elections were identified, and then, automatically translated into the 24 official languages of the European Union: Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish and Swedish. 

These translations were reviewed in collaboration with the Publications Office of the European Union. Besides that, in parallel, a collaborative list was launched to gather contributions of relevant seeds from the international community.

In the second step, the Arquivo.pt team iteratively ran 6 crawls (99 million web files, 4.8 TB) using different configurations and crawling software, to maximize the quality of the collected content. 

The obtained web-data was aggregated into one special collection identified as EAWP23 and became searchable and accessible through Arquivo.pt in July 2020 (https://arquivo.pt/ee2019).

CLEOPATRA project: Cross-lingual Event-centric Open Analytics Research Academy

Daniel Gomes and Diego Alves at presenting at CLEOPATRA final event
Daniel Gomes and Diego Alves at presenting at CLEOPATRA final event

The CLEOPATRA ITN was a Marie Skłodowska-Curie Innovative Training Network aimed to generate ways to better understand the massive digital coverage of major events in Europe over the past decades. 

The main goal was to facilitate advanced cross-lingual processing of textual and visual information related to key contemporary events at large scale and develop innovative methods for efficient access and interaction with multilingual information.

In total, 14 Early-Stage Researchers hosted across 9 European Universities developed their research while enrolled as Ph.D. students. 

Associated partners such as Arquivo.pt contributed to CLEOPATRA by hosting and training early-stage researchers such as Diego Alves. As part of the training program, he conducted a secondment at Arquivo.pt in Lisbon from June to August 2022. 

The idea was to develop part of his research about syntactic structures of EU languages using the textual resources preserved by the Arquivo.pt and exchange knowledge with the web-archiving experts on the strategies to extract and process historical web-data. 

Diego Alves defended his Ph.D thesis entitled Computational typological analysis of syntactic structures in European languages in July 2023 at the Faculty of Humanities and Social Sciences of the University of Zagreb (Croatia). 

Generating textual datasets for Natural Language Processing

Diego Alves’ work originated cross-lingual datasets about the 2019 European Parliamentary Elections precious for research.

This work will be detailed in chapter “Robustness of Corpus-based Typological Strategies for Dependency Parsing” of the open-access CLEOPATRA book entitled “Event Analytics across Languages and Communities”.

A 3-step Natural Language Processing pipeline was developed to generate research textual datasets that can be used in several types of digital humanities studies:

  1. Extract text: The textual content was extracted from each web-archived URL using the newspaper3k Python library. The language of each extracted text was determined using the langdetect library, to separate the texts written in different languages across distinct files;
  2. Clean extracted texts: a Python script was applied to clean the texts by removing unnecessary information (e.g.: repeated instances, empty lines, etc.);
  3. Double-check of language identification: the language of each cleaned extracted text was verified again to eliminate possible errors originated during the previous steps.

Two new research datasets are openly available!

The result was a dataset of cleaned and language-verified texts publicly available. Each file contains the texts in a given language about the 2019 European Union Elections. The distribution of extracted texts for each language is described in the figure below:

Number of tokens of each corpus extracted from the collection 2019 European Union Elections preserved by Arquivo.pt (EAWP23).
Number of tokens of each corpus extracted from the collection 2019 European Union Elections preserved by Arquivo.pt (EAWP23).

The aforementioned corpus was automatically annotated regarding part-of-speech and dependency relations to generate a corpus with syntactic information which is useful for linguistic studies. 

The multilingual model of the UDify tool (Kondratyuk and Straka, 2019) was applied. 

The texts in these annotated corpora followed the same order of the respective raw-texts files. Each sentence is annotated following the Universal Dependencies framework in the CoNNL-U format, which is the reference in terms of syntactic annotation in Natural Language Processing. Thus, each file in this dataset contains the annotated texts in a given language about the 2019 European Union Elections

The syntactically annotated texts about the 2019 European Elections are publicly available!

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Arquivo.pt preserves Wikipedia citations

Wikimedia Portugal e Arquivo.pt

Last updated on September 19th, 2023 at 01:49 pm

Wikipedia is an educational resource degraded by broken links

Arquivo.pt preserves information published online so that it can be used later for research and educational purposes. For example, Arquivo.pt preserved online information about European projects funded by H2020 .

Wikipedia articles refer to external pages with important complementary information that has since become unavailable.
Wikipedia articles reference external web pages with important complementary information that became unavailable on their original websites.

One of the most used online resources for educational purposes are Wikipedia articles. However, Wikipedia articles sometimes reference external web pages with important complementary information which disappeared from their original websites. This problem degrades the quality of Wikipedia as a credible and verifiable source of information.

In August 2023, the Arquivo.pt team carried out an experiment to measure the percentage of external links (outside the wikipedia.org domain) that were broken in Portuguese Wikipedia articles. The obtained results showed that 25% of the external links referenced in the Portuguese Wikipedia were broken.

There is also the problem that a link may refer to an accessible web page, but its content changed meanwhile and it is no longer what it was meant to be referenced (Content Drift problem). The domain of the hosting website may have meanwhile been purchased by third parties, for example for malicious purposes.

To mitigate these problems, Arquivo.pt launched a project to preserve the online references contained in Portuguese Wikipedia articles in collaboration with Wikimedia Portugal. The objective was to change the references to broken links on Wikipedia articles, to start referencing web-archived content preserved in Arquivo.pt, thus keeping the referenced information accessible to Wikipedia users.

Arquivo.pt archived the pages referenced in Portuguese Wikipedia articles

Wikipedia articles refer to external pages with important complementary information that has since become unavailable.
Wikipedia recommends citing web archives (archiveurl/archive-url parameter).

The Portuguese Wikipedia contains about 1 million articles and on average 140 pages are edited per day.

Arquivo.pt automatically extracted 14 million links from references in all Portuguese Wikipedia articles. Only 620 referenced Arquivo.pt and 744 553 the Internet Archive (5.3%). Note that Wikipedia’s guide to creating references recommends publishing citations to web archives ( archiveurl/archive-url parameter) .

On February 15, 2023, Arquivo.pt collected all pages referenced in Portuguese Wikipedia articles, which resulted in a new collection named EAWP42: Collection of external links from wikipedia using the wikimedia dumps, which contains 12 million files (856 GB).

The main result of this project was the creation of a new automatic process for extracting and collecting external links cited on Portuguese Wikipedia pages. Therefore, Arquivo.pt will perform an annual crawl of Wikipedia citations.

Attempt to automatically fix broken links in Wikipedia articles

InternetArchiveBot offers powerful operation and monitoring tools (eg Dashboard and Insights)
InternetArchiveBot offers powerful operation and monitoring tools (e.g. Dashboard and Insights)

There are software robots which automatically add links to web-archived content when they find broken links in Wikipedia articles (e.g. PywikibotWayback Medic or InternetArchiveBot).

An experiment was carried out to create an ArquivoPTBot based on the InternetArchiveBot because it offers powerful operation and monitoring tools (e.g. Dashboard and Insights ) and it is maintained by the Internet Archive: the largest web archive in the world.

However, it was not possible to launch this service in production because it implies changes in the software to use Arquivo.pt as a source of web-archived information.

If you want to collaborate to resume this project, please contact us!

Preserving Wikipedia references is at your fingertips!

Arquivo.pt remains committed in contributing to preserve links cited in Wikipedia articles and offers the following services that may be useful to you.

Arquivo.pt CitationSaver: preserves citations to online content (https://arquivo.pt/citationsaver).
Arquivo.pt CitationSaver: preserves citations to online content (https://arquivo.pt/citationsaver).

CitationSaver allows you to submit the source code of an Wikipedia article and Arquivo.pt will automatically extract the referenced links and archive the correspondent content.

 

Arquivo.pt SavePageNow: saves pages in Arquivo.pt (https://arquivo.pt/savepagenow).
Arquivo.pt SavePageNow: saves pages in Arquivo.pt (https://arquivo.pt/savepagenow).

SavePageNow allows you to immediately archive a web page in Arquivo.pt, for example, that is being referenced in a Wikipedia article so that it doesn’t get lost.

Training Arquivo.pt/Wikimedia

Wikimedia Portugal, in collaboration with Arquivo.pt, promoted a set of webinars to capture the community’s attention for the preservation of content published and cited on Wikipedia. The videos and slides of these webinars are available: