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- item-3 hasContent adam-barker.
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- 251 creator jean-paul-calbimonte.
- 251 creator jose-mora.
- 251 creator oscar-corcho.
- 251 type InProceedings.
- 251 label "Query Rewriting in RDF Stream Processing".
- 251 sameAs 251.
- 251 abstract "Querying and reasoning over RDF streams are two increasingly relevant areas in the broader scope of processing structured data on the Web. While RDF Stream Processing (RSP) has focused so far on extending SPARQL for continuous query and event processing, stream reasoning has concentrated on ontology evolution and incremental ma- terialization. In this paper we propose a di erent approach for querying RDF streams over ontologies, based on the combination of query rewriting and stream processing. We show that it is possible to rewrite continuous queries over streams of RDF data, while maintaining e - ciency for a wide range of scenarios. We provide a detailed description of our approach, as well as an implementation, StreamQR, which is based on the kyrie rewriter, and can be coupled with a native RSP engine, namely CQELS. Finally, we show empirical evidence of the performance of StreamQR in a series of experiments based on the SRBench query set.".
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- 251 title "Query Rewriting in RDF Stream Processing".
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- item-1 hasContent jean-paul-calbimonte.
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- item-2 hasContent jose-mora.
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- 253 creator daniele-dellaglio.
- 253 creator emanuele-della-valle.
- 253 creator marco-balduni.
- 253 creator riccardo-tommasini.
- 253 type InProceedings.
- 253 label "Heaven: a framework for systematic comparative research approach for RSP engines".
- 253 sameAs 253.
- 253 abstract "Benchmarks like LSBench, SRBench, CSRBench and, more recently, CityBench satisfy the growing need of shared datasets, ontologies and queries practice to evaluate window-based RDF Stream Processing (RSP) engines. However, no clear winner emerges out of the evaluation. In this paper, we claim that the RSP community needs to adopt a Systematic Comparative Research Approach (SCRA) if it wants to move a step forward. To this end, we propose a framework that enables SCRA for window based RSP engines. The contributions of this paper are: (i) the requirements to satisfy for tools that aim at enabling SCRA; (ii) the architecture of a facility to design and execute experiment guaranteeing repeatability, reproducibility and comparability; (iii) Heaven - a proof of concept implementation of such architecture that we released as open source -; (iv) two RSP engine implementations, also open source, that we propose as baselines for the comparative research (i.e., they can serve as terms of comparison in future works). We evaluate Heaven effectiveness using the baselines by: (i) showing that top-down hypothesis verification is not straight forward even in controlled conditions and (ii) providing examples of bottom-up comparative analysis.".
- 253 hasAuthorList authorList.
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- 253 title "Heaven: a framework for systematic comparative research approach for RSP engines".
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- item-1 hasContent riccardo-tommasini.
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- item-2 hasContent emanuele-della-valle.
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- 38 creator gerard-de-melo.
- 38 creator jacobo-rouces.
- 38 creator katja-hose.
- 38 type InProceedings.
- 38 label "Heuristics for Connecting Heterogeneous Knowledge via FrameBase".
- 38 sameAs 38.
- 38 abstract "With recent advances in information extraction techniques, various large-scale knowledge bases covering a broad range of knowledge have become publicly available. As no single knowledge base covers all information, many applications require access to integrated knowledge from multiple knowledge bases. Achieving this, however, is challenging due to their differences in knowledge representation.To address this problem, this paper proposes to use linguistic frames as a common representation and maps heterogeneous knowledge bases to the FrameBase schema, which is formed by a large inventory of linguistic frames. We develop several methods to create complex mappings from external knowledge bases into this schema, using text similarity measures, machine learning and different heuristics. We test them with different widely used large-scale knowledge bases, YAGO2s, Freebase and WikiData. The resulting integrated knowledge can then be queried in a homogeneous way.".
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- 38 title "Heuristics for Connecting Heterogeneous Knowledge via FrameBase".
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- item-1 hasContent jacobo-rouces.
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- 40 creator konstantin-todorov.
- 40 creator mohamed-ben-ellefi.
- 40 creator stefan-dietze.
- 40 creator zohra-bellahsene.
- 40 type InProceedings.
- 40 label "Dataset Recommendation for Data Linking: an Intensional Approach".
- 40 sameAs 40.
- 40 abstract "With the increasing quantity and diversity of publicly available Web datasets, most notably, Linked Open Data, recommending datasets, which meet specific criteria, has become an increasingly important, yet challenging problem. Dataset recommendation is an important task when addressing issues such as entity retrieval, semantic search and, particularly, data linking, where one aims to identify datasets, which are likely to contain linking candidates. While an understanding of the nature of the content of specific datasets is a crucial prerequisite, we adopt the notion of dataset profiles, where a dataset is characterized through a set of schema concept labels that best describe it. Alternatively, by retrieving the textual descriptions of each of these labels, we can map the profiles to text documents. We introduce a dataset recommendation approach to identify linking candidates. The method is based on the presence of schema overlap between datasets by computing a semantico-frequential similarity between profiles and a ranking criterium based on the tf-idf cosine similarity. Our experiments, applied to all available Linked Datasets in the Linked Open Data (LOD) cloud, show that our method achieve an average precision up to 53% for a recall of 100%. An additional contribution of this work is the mapping returned for the schema concepts between datasets which are particularly useful in the linking step.".
- 40 hasAuthorList authorList.
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- 40 title "Dataset Recommendation for Data Linking: an Intensional Approach".