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2nd International Workshop on Semantic Sensor Web - SSW 2011
* CONVERTED TO SPECIAL SESSION *
Call for Papers
Chair

Salvatore Flavio Pileggi
Universidad Politécnica de Valencia
Spain
e-mail
This workshop had a previous edition in 2010
Scope

During last years, sensors have been increasingly adopted in the context of several disciplines and applications (military, industrial, medical, homeland security, etc.) with the aim of collecting and distributing observations of our world in everyday life. Sensors progressively assumed the critical role of bridges between the real world and information systems, through an always more consolidated and efficient sensor technology that enables advanced heterogeneous sensor grids. Current sensor networks are able to detect and identify simple phenomena or measurements as well as complex events and situations. As imaginable, these sensor networks disseminated everywhere around the world are not connected between them as well as associated information systems are not integrated. This scenario can be summarized as too much data and not enough knowledge.

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2nd International Workshop on Software Knowledge - SKY 2011
Call for Papers
Co-chairs

Iaakov Exman
JCE - Jerusalem College of Engineering
Israel
e-mail
 
Juan Llorens
Carlos III of Madrid University
Spain
e-mail
 
Anabel Fraga
Carlos III of Madrid University
Spain
e-mail
 
Scope

SKY - a shorthand for "Software Knowledge" - is meant to indicate that software in its higher levels of abstraction is a new kind of knowledge. This is quite intuitive when one thinks that a UML diagram of a software package, with its classes and relations, can be easily viewed as the set of classes and relations of a knowledge ontology, or represented by Description Logics. What is much less trivial is that this new kind of knowledge is Runnable knowledge. Software Knowledge is a runnable expression of meaning.

For further details, see also the SoftwareKnowledge.org website.

The main theme of the SKY2011 Workshop is Discovery and Representation of Runnable Knowledge of desired types. We mean discovery in software data repository of any size, up to the whole Web. Representation is essential to facilitate discovery and to preserve its results.

The Workshop main objective is to rigorously close the gap between the high-level abstractions found in software modeling languages and widely accepted knowledge representation techniques. This might probably be done in two complementary directions:
- Semantic add-ons to existing software models. This will enable usage of standard knowledge discovery techniques for runnable Knowledge;
- Dynamic add-ons to knowledge representation. These involve states, transitions and messages adding time-dependence, as a novel part of knowledge representation.

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