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Graal is a java toolkit dedicated to ontological query answering in the framework of existential rules. We consider knowledge bases composed of data and an ontology expressed by existential rules. The main features of Graal are the following: a basic layer that provides generic interfaces to store and query various kinds of data, forward chaining and query rewriting algorithms, structural analysis of decidability properties of a rule set, a textual format and its parser, and import of OWL 2 files. We describe in more detail the query rewriting algorithms, which rely on original techniques, and report some experiments.

GroupDocs.Conversion is an online document conversion app that lets you convert documents in your browser. With GroupDocs.Conversion, it doesn’t matter if you have the application that the document was created with: simply convert it to a format you can work with. Converted documents retain the layout and look of the original. With GroupDocs.Conversion, you perform online document conversion. Convert many types of word processing documents (DOC, DOCX, TXT, RTF, ODT), presentations (PPT, PPTX), spreadsheets (XLS, XLSX), portable files (PDF), and image files (JPG, BMP, GIF, TIFF) to other file formats. For example, convert TIFF images to document friendly BMP format, or internet ready PNG format. Or convert open document files, ODT, to Microsoft Word document formats like DOC and DOCX. You can even convert Microsoft PowerPoint presentations from PTT or PPTX to portable PDF documents. From one file to hundreds, online document conversion with GroupDocs.Conversion is fast and easy.

LaukvikCSV is a powerful API for reading, writing and querying tabular data stored in the CSV format. In contrast to other API it lets you specify data types for each column using meta data. It automatically detects delimiters so you don't have to worry about delimiters being comma, tab, pipe, semicolon etc. Run powerful queries to filter your data easily with a fluid query language thats type safe. Export your tabular data to CSV, JSON, XML and HTML.

In some data processing tasks we need to use huge maps or sets that are bigger than available JVM heap space or they are loading too slow to standard Java or Scala Maps. We use TSV format (text file with tab separated columns) for persist this kind of Maps or Sets. Some columns are used as a key and rest of columns as a value. Idea of this library is simple. We can prepare these maps once (sort by key), store it to file and then use it as memory mapped file. Searching key in sorted file has log(n) complexity. If more processes uses the same memory mapped file, it exists in memory just once (on Linux). This file can be loaded lazy by OS.