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pdfdetach – extract embedded documents from a PDF; pdffonts – lists the fonts used in a PDF; pdfimages – extract all embedded images at native resolution from a PDF; pdfinfo – list all information of a PDF; pdfseparate – extract single pages from a PDF; pdftocairo – convert single pages from a PDF to vector or bitmap formats using cairo
Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...
Whereas data scraping and web scraping involve interacting with dynamic output, report mining involves extracting data from files in a human-readable format, such as HTML, PDF, or text. These can be easily generated from almost any system by intercepting the data feed to a printer.
Command-line tools to edit and convert documents; supports filling of PDF forms with FDF/XFDF data. GUI front-end exists (see PDFChain). PDFsam Basic: AGPLv3 for version 3, GPLv2 for previous versions 2.x Yes Yes Yes Desktop application to split, merge, extract pages, rotate and mix PDF documents. PDF Studio: Proprietary: Yes Yes Yes Yes
Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources.The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.
Structured data is semantically well-defined data from a chosen target domain, interpreted with respect to category and context. Information extraction is the part of a greater puzzle which deals with the problem of devising automatic methods for text management, beyond its transmission, storage and display.
Data science is an interdisciplinary academic field [1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.