Archive for September, 2010

Finding OGC Web Services in the Digital Earth

Thursday, September 16th, 2010, Aneta Florczyk

Our work Finding OGC Web Services in the Digital Earth will be presented during the DE2010 workshop (Towards Digital Earth: Search, Discover and Share Geospatial Data) at Future Internet Symposium which takes place in Berlin next Monday, 20th Sept. 2010.

Abstract. The distribution of OGC Web Catalogues (CSW) across professional communities, the expert profile of the catalogue user and also the low coverage of OGC Web Services (OWS) in standard search engines reduce the possibility of discovery and sharing geographic information. This paper presents an approach to simple spatio-temporal search of OWS retrieved from the web by a specialized crawler. The Digital Earth could benefit from this solution as it overcomes technical boundaries and solves the limitation of CSW acceptance only within professional community.

Aneta J. Florczyk, Patrick Maué*, Francisco J. López-Pellicer and Javier Nogueras-Iso, Finding OGC Web Services in the Digital Earth, Towards Digital Earth: Search, Discover and Share Geospatial Data, Workshop at Future Internet Symposium, September 20th, 2010, Berlin, Germany.

*Patrick Maué works at IFGI, Münster, Germany.

Exploring the Advances in Semantic Search Engines

Tuesday, September 14th, 2010, Walter Rentería Agualimpia

CEDI’10 was held in the last september in Valencia, Spain.

Walter Renteria-Agualimpia, Francisco J. López-Pellicer, Pedro R. Muro-Medrano, Javier Nogueras-Iso, and F.Javier Zarazaga-Soria, Exploring the Advances in Semantic Search Engines

We presented the paper in the last International Symposium on Distributed Computing and Artificial Intelligence DCAI’10. It is an annual forum that will bring together ideas, projects, lessons, etc.. associated with distributed computing, artificial intelligence and its applications in different themes.

Our work was focused on Semantic Search Engines.
With the vertiginous volume information growing, the amount of an-swers provided by traditional search engines and satisfying syntactically the user queries has enlarged directly. In order to reduce this problem the race to develop Semantic Search Engines (SSE) is increasingly popular. Currently, there are mul-tiple proposals for Semantic Search Engines, and they are using a wide range of methods for matching the semantics behind user queries and the indexed collec-tion of resources. In this work we survey the semantic search engines domain, and present a miscellaneous of perspectives about the different classification of ap-proaches. We have created a comparative scheme and identified the prevalent re-search directions in SSE.

The completed survey can be reviewed at the link:
The paper is published on Distributed Computing and Artificial – Series: Advances in Intelligent and Soft Computing, Vol. 79