We tackle the problem of entity linking for large collections of online pages; Our system,
ZenCrowd, identifies entities from natural language text using state of the art techniques and …

In this position paper, we argue that the Linked Open Data (LoD) Cloud, in its current form, is
only of limited value for furthering the Semantic Web vision. Being merely a weakly linked …

Ordnance Survey, the national map** agency of Great Britain, is investigating how
semantic web technologies assist its role as a geographical information provider. A major …

We tackle the problems of semiautomatically matching linked data sets and of linking large
collections of Web pages to linked data. Our system, ZenCrowd,(1) uses a three-stage …

Distributed systems are becoming more complex in terms of both the level of heterogeneity
encountered coupled with a high level of dynamism of such systems. Taken together, this …

In the general field of knowledge interoperability and ontology matching, instance matching
is a crucial task for several applications, from identity recognition to data integration. The aim …

We tackle the problem of disambiguating entities on the Web. We propose a user-driven
scheme where graphs of entities--represented by globally identifiable declarative artifacts …

In this paper we tackle some pressing obstacles of the emerging Linked Data Web, namely
the quality, timeliness and coherence of data, which are prerequisites in order to provide …

The Semantic Web is constantly gaining momentum, as more and more Web sites and
content providers adopt its principles. At the core of these principles lies the Linked Data …

A major source of interoperability problems on the Semantic Web are the different
vocabularies used in metadata descriptions. This paper argues that instead of solving …