%0 Conference Paper %1 gil06measuring %A Gil, Rosa %A García, Roberto %B Advances in Metadata Research, Proceedings of MTSR'05 %D 2006 %K networks semweb small-world %T Measuring the Semantic Web %X The goal of this work is double. First, to provide interoperability between two scientific disciplines that were not related until now, Complex Systems and Semantic Web. Second, to provide a model for Semantic Web behaviour based on complex systems properties. It is difficult to build such a model with “classical” tools. This is because the Semantic Web is a knowledge system that, unlike previous ones, is open and growths freely, without central control. The World Wide Web is based on the same principles. Both systems, the WWW and the Semantic Web, are acquiring a size and a complexity that puts them out of our control and even from our direct conception. It has been already shown that the WWW is a Complex System. We use graphs and statistical mechanics to model the Semantic Web behaviour. Our results are based on a pair of studies of Web ontologies collected from the Semantic Web performed during the last two years. The properties of the graph models we have built show that the Semantic Web is also a Complex System as it shares the same statistical patterns with other Complex Systems.

@inproceedings{gil06measuring, abstract = {The goal of this work is double. First, to provide interoperability between two scientific disciplines that were not related until now, Complex Systems and Semantic Web. Second, to provide a model for Semantic Web behaviour based on complex systems properties. It is difficult to build such a model with “classical” tools. This is because the Semantic Web is a knowledge system that, unlike previous ones, is open and growths freely, without central control. The World Wide Web is based on the same principles. Both systems, the WWW and the Semantic Web, are acquiring a size and a complexity that puts them out of our control and even from our direct conception. It has been already shown that the WWW is a Complex System. We use graphs and statistical mechanics to model the Semantic Web behaviour. Our results are based on a pair of studies of Web ontologies collected from the Semantic Web performed during the last two years. The properties of the graph models we have built show that the Semantic Web is also a Complex System as it shares the same statistical patterns with other Complex Systems.}, added-at = {2007-08-24T13:31:38.000+0200}, author = {Gil, Rosa and García, Roberto}, biburl = {https://www.bibsonomy.org/bibtex/297bcfb5fa2a645ab63d1397e1d96f27a/rafg}, booktitle = {Advances in Metadata Research, Proceedings of MTSR'05}, citeulike-article-id = {1325102}, description = {CiteULike import}, interhash = {634dd6918ad91739c632f0d0161fcc55}, intrahash = {97bcfb5fa2a645ab63d1397e1d96f27a}, keywords = {networks semweb small-world}, priority = {0}, timestamp = {2007-08-24T13:31:39.000+0200}, title = {Measuring the Semantic Web}, year = 2006 }