captsolo weblog

42

Update: Thanks to tm who found that there is also a CSS score test:

22

… following a meme via James Tauber, Dougal Matthews and Eric Florenzano:

* BASIC
* Turbo Pascal
* C
* C++
* MS Access (Visual Basic?)
* FoxPro
* x86 Assembly
* Java
* PL/SQL
* PHP
* JavaScript
* Python

Languages which I have had a brief encounter with but not enough experience to include them in the list above: Logo, FOCAL, REXX, Perl, Prolog, LISP, Haskell, bash.

Plus markup languages and others: HTML, SQL, XML, RDF/XML, Turtle, SPARQL, XUL, LaTeX.

This list almost tells a story (like looking at a photo gallery) about work and study experience. Almost, but not quite. To make a story complete some languages would need to appear twice or more - when first learned and when used again, in combination with other languages and architecture components.

Update: had forgot to add PHP (I wonder why ). fixed.

AAAI-SSS-09: Social Semantic Web: Where Web 2.0 Meets Web 3.0

Update: Submission deadline was extended to October 10, 2008.

It takes place at the Stanford University on March 23-25, 2009 as a part of the AAAI 2009 Spring Symposia

” In this symposium, we are interested in bringing together the semantic web community and the social web community to promote the collaborative development and deployment of semantics in the World Wide Web context. We welcome constructive papers on, for example: (i) how semantic technologies, especially knowledge representation and collective intelligence, can benefit social web content organization and retrieval; (ii) how social web technologies can facilitate massive semantic content production; and (iii) how to address the requirements, e.g., reasoning scalability and semantic convergence issues, which emerge from the combination.

… there is more information (topics, …) on the website …

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Social Data on the Web (SDoW 2008) workshop

If looking for events within a shorter timeframe, you are welcome to come to the 1st Social Data on the Web (SDoW 2008) workshop at ISWC 2008.

It takes place in Karlsruhe, Germany on October 27, 2008.

List of accepted papers:

• “A Hybrid Social Entity Reconciliation Algorithm for Interlinking Online Social Communities” by Chunying Zhou and Huajun Chen
• “A state of the art on Social Network Analysis and its applications on a semantic web” by Guillaume Ereteo, Fabien Gandon, Michel Buffa, Patrick Grohan, Myl?ne Leitzelman and Peter Sander
• “Combining Social Music and Semantic Web for music-related recommender systems” by Alexandre Passant and Yves Raimond
• “Expressing Argumentative Discussions in Social Media Sites” by Christoph Lange, Uldis Bojārs, Tudor Groza, John Breslin and Siegfried Handschuh
• “Getting to Me – Exporting Semantic Social Network from Facebook” by Matthew Rowe and Fabio Ciravegna
• “LODr – A Linking Open Data Tagging System” by Alexandre Passant
• “Modeling Online Presence” by Milan Stankovic
• “RDFohloh, a RDF wrapper of Ohloh” by Sergio Fern?ndez
• “Semantify del.icio.us: automatically turn your tags into senses” by Maurizio Tesconi, Francesco Ronzano, Andrea Marchetti and Salvatore Minutoli
• “Towards Opinion Mining Through Tracing Discussions on the Web” by Selver Softic and Michael Hausenblas
• “Towards Socially Aware Mobile Phones” by Alessandra Toninelli, Deepali Khushraj, Ora Lassila and Rebecca Montanari
• “Wikipedia Mining for Triple Extraction Enhanced by Co-reference Resolution” by Kotaro Nakayama

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Full disclosure: I am taking part in organizing these events.

The picture above is a word cloud generated from recent content of this blog, created using Wordle.

Wordle is a service for creating “word clouds” from the text or feed provided. Users can then change cloud layouts, fonts and colors in order to a visually attractive representation of word frequency in the source text. Final result can be saved to a gallery.

These “word clouds” are more interesting to me as a blog author compared with tag clouds. In the latter you would not find many surprises because you already know what tags you typically assign to posts. Word clouds can be more interesting because they are created automatically based on the “raw” content of blog posts and they can contain some surprises.

Do you think there are ways to make these word clouds (1) more interactive and (2) useful for machines too?

On the interactive side of things one could make a list of matching posts appear when you select a word from the cloud.

As for making this information reusable by software I do not have a clear answer, but one could adapt SCOT (Social Semantic Cloud of Tags) ontology to express word clouds. MOAT (Meaning of a Tag) ontology is also nearby but not sure how it would fit into this use case.

See also:

• CaptSolo blog word cloud in Wordle’s gallery. Has the same content as the image above, but it has a different and more colorful layout with black background (update: added a snapshot of it after “read more").
• Wordle concept maps at leobard’s blog: “A quick and fun tool to make nice calligraphically-good-looking tag clouds out of your own tags (works with delicious)”

Read more! »