The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The paper introduces a "lazy" Data Mining technology, which models students' learning characteristics by considering real data instead of deriving ("guessing") their characteristics explicitly. In former work, the authors developed a modeling system for university learning processes, which aims at evaluating and refining university curricula to reach an optimal learning success...
In this paper we propose a conceptual semantic based tourism platform that enables users to consume mash up applications by using a multi agent system. We explore different mechanisms for discovery, publishing, composition and querying of services. In particular, we present a methodology for collecting, organizing and searching data distributed in different resources-RDF data sets- and - Application...
In this paper, we present a Geographical Information Retrieval system, which aims to automatically extract and analyze touristic information from photos of online image collections (in our case of study Flickr). Our system collect all the photos, and the related information, that are associated to a specific city. We then use Google Maps service to geolocate the retrieved photos, and finally we analyze...
The Open Information Extraction Project is one of the most ambitious attempts in the area of automatically constructing ontologies by harvesting information from the web. What we will call their Know-It-All Ontology contains about 6 billion items, consisting of triples and rules. The downside of such automatically constructed ontologies is that they contain a vast number of errors: some arising from...
SQL/XML has gained increasing interest whenever relational data has to be transformed to XML data, which is transferred, stored, or further processed in internet-based systems. However, SQL/XML is not supported by all relational database systems and SQL/XML query processing may become a bottleneck when large amounts of XML data are generated by SQL/XML queries. We have developed a technique to generalize...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.