• Stars
    star
    143
  • Rank 257,007 (Top 6 %)
  • Language
    Scala
  • License
    MIT License
  • Created over 9 years ago
  • Updated 3 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

ArchiveSpark

ArchiveSpark Logo

ArchiveSpark is a framework / toolkit / library / API to facilitate efficient data processing, extraction as well as derivation for archival collections.

While originally developed for the use with web archives, which is still its main focus, ArchiveSpark can be used with any (archival) data collections through its modular architecture and customizable data specifications.

What can you do with it?

The main use case of ArchiveSpark is the efficient access to archival data with the goal to derive corpora by applying filters and tools in order to extract information from the original raw data, to be stored in a more accessible format, like JSON, while reflecting the data lineage of each derived value.

Examples of what you can do with it include: (see recipes for code examples)

  • Selecting a subset of your data and extracting desired properties (e.g., title, entities, ...)
  • Running a (temporal) data analysis on the filtered / extracted / derived data
  • Generating hyperlink or knowledge graphs for downstream applications
  • Processing archived webpages and extracting embedded resources
  • Downloading remote WARC/CDX data from the Internet Archive's Wayback Machine

New in 3.0

  • Namespace changed to org.archive.archivespark.
  • Extensive overhaul to be based on Sparkling, Internet Archive's internal data processing library, which is now partially included under org.archive.archivespark.sparkling.
  • ArchiveSpark will evolve as Sparkling evolves and automatically benefit from new features and bugfixes.
  • Streamlined with all unused / unnecessary / academic / experimental features being removed.
  • Refactored / cleaned up / simplified ArchiveSpark's public APIs.

For more information and instructions, please read the docs:

ArchiveSpark Documentation

License

The MIT License (MIT)

Copyright (c) 2015-2019 Helge Holzmann (Internet Archive) <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

More Repositories

1

Web2Warc

An easy-to-use and highly customizable crawler that enables you to create your own little Web archives (WARC/CDX)
Scala
24
star
2

HadoopConcatGz

A Splitable Hadoop InputFormat for Concatenated GZIP Files and *.(w)arc.gz
Java
9
star
3

internetarchive-transfer-scripts

Scripts to transfer archive.org collections, using https://github.com/jjjake/internetarchive
Python
9
star
4

HadoopWebGraph

A Hadoop input format to use gaphs in WebGraph's BV format with Hadoop and Spark.
Java
7
star
5

Exspec

Don't write specs anymore, just save 'em while testing your code interactively. Specs will become a byproduct.
Ruby
5
star
6

IABooksOnArchiveSpark

Analyze digitized books from the Internet Archive remotely with ArchiveSpark
Scala
5
star
7

Micrawler

Create and cite micro Web archives with semantics as temporal representations of objects / entities / concepts on the Web
JavaScript
4
star
8

ArchiveSpark-server

A server application that provides a Web service API for ArchiveSpark to be used by third-party applications to integrate temporal Web archive data with a flexible, easy-to-use interface.
Scala
3
star
9

FEL4ArchiveSpark

Yahoo's Fast Entity Linker for ArchiveSpark
Scala
3
star
10

MHLonArchiveSpark

Work with Medical Heritage Library collections using ArchiveSpark
Scala
2
star
11

ArchiveSpark-Zeppelin-Docker

ArchiveSpark with Zeppelin as ready-to-use Docker image
Shell
2
star
12

ArchiveSpark-AUT-bridge

The compatibility layer between ArchiveSpark and The Archives Unleashed Toolkit (AUT)
Scala
2
star
13

WarcPartitioner

Partition (W)ARC Files by MIME Type and Year
Java
1
star
14

ArchiveSpark-docker

ArchiveSpark on Docker
Python
1
star
15

ArchiveSpark2Triples

Convert web archives to RDF triples with ArchiveSpark
Jupyter Notebook
1
star
16

MapReduceLecture

A lecture on MapReduce with example code
Java
1
star
17

ArchivePig

An Apache Pig framework that facilitates access to Web Archives, enables easy data extraction as well as derivation.
Java
1
star