sensemaking

Making Government Information More Accessible

The Java Text Categorizing Library (JTCL) is a pure java 1.5 implementation of libTextCat which in turn is "a library that was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy". It's distributed under the LGPL and can also be used in order to categorize text into arbitrary topics by computing appropiate fingerprints which represent the categories.

Efficient assembly of social semantic networks

An individual may create or reinforce a relationship between two resources by applying a common tag or organizing them in a common folder. This has led to the exploration of techniques for building networks of resources, categories, and people using the social annotations. In order for these techniques to move from the lab to the real world, efficient building and maintenance of these potentially large networks remains a major obstacle. Methods for assembling and indexing these large networks will allow researchers to run more rigorous assessments of their proposed techniques. Toward this goal we explore an approach from the sparse matrix literature and apply it to our system, GiveALink.org. We also investigate distributing the assembly, allowing us to grow the network with the body of resources, annotations, and users.

PowerMeeting is a Web-based synchronous groupware framework. It also refers to a research prototype that demonstrates the kind of groupware built with the framework. Such groupware allow participants to plan, perform, and coordinate their synchronous collaboration.

How to Make a Complete Map of Every Thought You Think

KML is a file format used to display geographic data in an earth browser, such as Google Earth, Google Maps, and Google Maps for mobile. A KML file is processed in much the same way that HTML (and XML) files are processed by web browsers. Like HTML, KML has a tag-based structure with names and attributes used for specific display purposes. Thus, Google Earth and Maps act as browsers for KML files.

SWAML, pronounced [swæml], is a research project around the semantic web technologies to publish the mailing lists' archives into a RDF format. It has been developed by the CTIC Foundation and the WESO-RG at University of Oviedo (Spain). You can visit the project page at BerliOS for more details. SWAML process description SWAML reads a collection of email messages stored in a mailbox (from a mailing list compatible with RFC 4155) and generates a RDF description. It is written in Python using SIOC as the main ontology to represent in RDF a mailing list.

Proceedings of the Workshop on Semantic Search (SemSearch 2008) at the 5th European Semantic Web Conference (ESWC 2008) Tenerife, Spain, June 2nd, 2008.

Proceedings of the 1st International Workshop on Intelligent Support for Exploratory Environments held in conjunction with the EC-TEL'08 Conference Maastricht, The Netherlands, September 17th, 2008.

Proceedings of the 2nd SIRTEL'08 Workshop on Social Information Retrieval for Technology Enhanced Learning Maastricht, Netherlands, September 17, 2008

Proceedings of the First International Workshop on Story-Telling and Educational Games (STEG'08) The power of narration and imagination in technology enhanced learning, September 16, 2008

Proceedings of the First International Workshop on Mashup Personal Learning Environments (MUPPLE08), Maastricht, The Netherlands, September 17, 2008.

Proceedings of the Conference Knowledge Construction in E-learning Context: CSCL, ODL, ICT and SNA in education (2008) Cesena, Italy, September 1-2, 2008.

Semantic Annotation in the Alvis Project

Capturing knowledge by using markup techniques and by supporting semantic annotations is a major technique for creating metadata. It is beneficial in a wide range of content-oriented intelligent applications.

MnM is an annotation tool which provides both automated and semi-automated support for annotating web pages with semantic contents. MnM integrates a web browser with an ontology editor and provides open APIs to link to ontology servers and for integrating information extraction tools.

KIM is a software platform for: * Semantic annotation of text At more length: automatic ontology population and open-domain dynamic semantic annotation of unstructured and semi-structured content for Semantic Web and KM applications * Indexing and retrieval (semantically-enabled and IE-enhanced search technology) * Query and exploration of formal knowledge * Co-occurrence tracking and ranking of entities * Entity popularity timelines analysis