By Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke (auth.), Francesco Buccafurri, Giovanni Semeraro (eds.)
After the lesson realized in the course of final years and following the winning version of EC-Web 2009, for its eleventh version EC-Web attempted to supply a clearer description of the digital trade universe concentrating on a few suitable subject matters. the main target used to be not just on Internet-related suggestions and techniques. the purpose of EC-Web 2010 was once to additionally conceal features relating to theoretical foundations of e-commerce, company methods in addition to new methods exploiting lately emerged applied sciences and eventualities corresponding to the Semantic net, internet providers, SOA architectures, cellular and ubiquitous computing, simply to cite a number of. because of their principal position in any sensible e-commerce infrastructure, safety and privateness concerns have been largely thought of, with out except for felony and regulatory elements. the alternative of the above appropriate issues at once displays the truth that digital trade (EC), within the previous few years, has replaced and developed right into a well-established and based fact either from a technological viewpoint and from a systematic one. however, including its evolution, new demanding situations and themes have emerged in addition to new questions were raised concerning many facets of EC. maintaining in brain the adventure of the final version of EC-Web, we maintained, for its eleventh variation, the constitution and the medical association of EC-Web 2009, aiming to focus on the self sustaining function of the various (sometimes heterogeneous) facets of EC, with out lacking their interdisciplinary scope.
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Additional resources for E-Commerce and Web Technologies: 11th International Conference, EC-Web 2010, Bilbao, Spain, September 1-3, 2010. Proceedings
Figure 7 highlights the diﬀerence. The chart on left panel shows the overall top4precision obtained using two thresholds. Support based on top 100 tags obtains higher precision, but the improvement is not very big. We also show a few individual groups’ performance using the two thresholds. We select one group with speciﬁc concept (sc), one group with general concept (gc), one group with subjective theme (st) and three camera groups (c1-c3). The improvement on precision is more prominent in less focused groups.
These new keywords represent the corresponding Wikipedia Categories showed in the Wikipedia page of Drupal. Also the tags appearing in the personal tag bag area are sized according to their relevance. Thanks to the RDF nature of DBpedia, they can be easily computed via nested SPARQL queries. In DBpedia, for each URI representing Wikipedia category there is a RDF triple having the URI as subject, rdf:type as property and skos:Concept as object. For a further deeper expansion of (semantic) keywords in the tag bag, we also exploit the skos:broader and skos:subject properties within DBpedia.
The sizes of these groups vary from a few hundred photos to over 700 thousand photos. Table 2. 5% Table 2 shows the summary of group sizes and tag, photo distribution among groups. 9K tags appear in at least two groups. We also analyse frequent tags in the groups. We extract top 5 and top 10 tags from each group and examine the tag-group and group-tag distribution. Quite a few groups share all their top tags with other groups. 29 groups share half or more top 10 tags with other groups. These show signiﬁcant tag overlapping within our test data.