Renata Queiroz Dividino

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The Semantic Web is based on accessing and reusing RDF data from many different sources, which one may assign different levels of authority and credibility. Existing Semantic Web query languages, like SPARQL, have targeted the retrieval, combination and reuse of facts, but have so far ignored all aspects of meta knowledge, such as origins, authorship,(More)
Linked data on the Web can be accessed by SPARQL queries. Previously executed queries to SPARQL endpoints are valuable information sources about the underlying data structure and schema of data sources. These queries reveal how resources are related to each other and they reflect the user interests on the data. Therefore, methods for query logs analysis(More)
Recent work analyzing changes on the Linked Open Data (LOD) cloud on fine-grained weekly snapshots shows that vocabularies published on the cloud are highly static. While this result is quite expected, there is another kind of schematic information that can be observed on the LOD cloud: the use of the vocabularies in the cloud. With use, we mean the(More)
Querying Linked Data means to pose queries on various data sources without information about the data and the schema of the data. This demo shows SPACE, a tool to support autocompletion for SPARQL queries. It takes as input SPARQL query logs and builds an index structure for efficient and fast computation of query suggestions. To demonstrate SPACE, we use(More)
Information retrieval on RDF data benefits greatly from additional provenance information attached to the individual pieces of information. Prove-nance information such as origin of data, certainty, and temporal information on RDF statements can be used to rank search results according to one of those dimensions. In this paper, we consider the problem of(More)
—For many tasks, such as the integration of knowledge bases in the semantic web, one must not only handle the knowledge itself, but also characterizations of this knowledge, e.g.: (i) where did a knowledge item come from (i.e. provenance), (ii) what level of trust can be assigned to a knowledge item, or (iii) what degree of certainty is associated with it.(More)
The Linked Open Data (LOD) cloud changes frequently. Recent approaches focus mainly on quantifying the changes that occur in the LOD cloud by comparing two snapshots of a linked dataset captured at two different points in time. These change metrics are able to measure absolute changes between these two snapshots. However, they cannot determine the dynamics(More)