Search Results for "document index"

...The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries.

...Since the net/html parser returns nodes, and not a full-featured DOM tree, jQuery's stateful manipulation functions (like height(), css(), and detach()) have been left off. Also, because the net/HTML parser requires UTF-8 encoding, so does goquery: it is the caller's responsibility to ensure that the source document provides UTF-8 encoded HTML. See the wiki for various options to do this. Syntax-wise, it is as close as possible to jQuery, with the same function names when possible, and that warm and fuzzy chainable interface. jQuery being the ultra-popular library that it is, I felt that writing a similar HTML-manipulating library was better to follow its API than to start anew (in the same spirit as Go's fmt package), even though some of its methods are less than intuitive (looking at you, index()...).

...The whole idea behind using Elasticsearch for search is that its fast and light, so you model functionality will be dictated by what data has been indexed for your document.

Docmenta is a Java web-application for single source publishing and help authoring. The application allows collaborative creation of documentation, e-books and online-help. Supported output formats are PDF, HTML, WebHelp, EPUB (eBook) and DocBook. For more information, visit: http://www.docmenta.org

MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs. MongoLantern 0.7 - Stable/Production Release: 1. MongoLantern API support enabled. 2. CSV indexer added as a plugin. 3. node.js API client added.

PHP-Index uses a plain text file as an index for a efficient search on data. The index is a simple ordered list, so a binary search can be performed. Current implementation supports a XML document as database.

xindy is an index processor that can be used to generate book-like indexes for arbitrary document-preparation systems. This includes systems such as TeX and LaTeX, the roff-family, and SGML/XML-based systems (e.g., HTML).

This project's main purpose is to provide a framework that implements multiple implementations for finding similar text documents, given an initial document, and the clustering of search results. This can be achieved starting from any type of index.