Monthly Archiv: July, 2011

An Open Source PHP Presentation Engine For RDF Data – Foafpress

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FOAF (an acronym of Friend of a friend) is a machine-readable ontology describing persons, their activities and their relations to other people and objects. Anyone can use FOAF to describe him or herself. FOAF allows groups of people to describe social networks without the need for a centralised database (via Wikipedia).

Foafpress is an open source PHP web application and presentation engine for RDF data stored in files.

It makes aggregating and publishing data from multiple web sources via Linked Data possible.

Foafpress

The application can read RDFXML, Turtle + N-Triple files and supports automatic content negotiation, currently for RDFXML, Turtle, N-Triple, HTML and RSS.

There are ready-to-use templates and controllers for foaf:Person and foaf:Group.

It can create a merged activity stream from Atom/RSS feed resources, render Twitter and Identi.ca statuses including @account, URLs and #hashtag links and has icons for ~35 social websites (like Twitter, Youtube, Facebook).

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Auto form

This class can be used to generate HTML forms to manipulate MySQL table records. It can take a list of MySQL table fields and generate HTML for forms to select, insert, update, delete table records. The class can also perform given validations of specified fields and invoke given callback functions on certain form processing events.

Card deck

This class can manipulate card decks. It can add cards to a deck by adding card type rules that define identifiers to the type of cards and the number of card that will exist for each type. The class can also shuffle the cards in the deck and deal a given number of cards to each player.

Multi-format countdown

This class can show the time left until a moment in different formats. It can take as parameters the specification of a time remaining to a certain moment given the seconds, minutes, hours, days, weeks, months and years. The class can return the remaining time formatted in a a custom way with a given list of time format parameters.

Proper nouns

This class can extract proper nouns from texts. It takes a text string and can detect which words may be proper nouns of people, entities, etc.. It uses some heuristics like the capitalization of the first word letter, the presence of people title preceeding the nouns, etc.. The class may consider consecutive proper names as a single proper name. The class assumes English by default but may be configure to work with other idioms.
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