Matches in ScholarlyData for { ?s ?p ?o. }
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- paper-25 type InProceedings.
- paper-25 label "Enriching Concept Search across Semantic Web Ontologies".
- paper-25 sameAs paper-25.
- paper-25 abstract "Semantic Web ontologies are fast-growing knowledge sources on the Web. Searching relevant concepts from this large repository is a challenging problem. The current Semantic Web search engines provide either (1) coarse-grained search over ontologies or (2) very fine-grained search over individuals. We believe searching and ranking concepts across ontologies provides an ideal granularity for certain tasks such as ontology population and web page annotation. Towards this objective, we propose a novel approach of indexing concepts using ontology axioms in an inverted file structure and ranking them using a dynamic ranking algorithm. Our proposed method is generic and domain-independent. A preliminary evaluation indicates that our proposed method is effective, outperforming the search function of BioPortal, a large and widely-used ontology repository.".
- paper-25 hasAuthorList authorList.
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- paper-25 title "Enriching Concept Search across Semantic Web Ontologies".
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- item-1 hasContent chetana-gavankar.
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- item-2 hasContent vishwajeet-kumar.
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- item-3 hasContent yuan-fang-li.
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- item-4 hasContent ganesh-ramakrishnan.
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- paper-26 type InProceedings.
- paper-26 label "Distributed SPARQL Throughput Increase: On the effectiveness of Workload-driven RDF partitioning".
- paper-26 sameAs paper-26.
- paper-26 abstract "The Web of Data (WoD) continues to grow steadily each year. At over 31 billion triples in 2011, querying this globally distributed data space poses several scalability challenges. One critical aspect when processing distributed SPARQL queries is given by the number and type of distributed joins needed. Traditionally, query optimizers alleviate this issue by attempting to find an optimal query plan assuming a given and fixed data distribution. Discarding this fixed data partitioning assumption, offers the opportunity to create a data distribution that minimizes the number of distributed joins. Recent research focused on data- and query-driven partitioning strategies for both RDF and relational data. In this paper we propose a novel and naive workload-driven approach to data partitioning and investigate the impact of various critical factors on the number of resulting distributed joins. In a preliminary experiment we empirically compare our method to traditional partitioning strategies using a DBpedia query log of 400’000 queries and observe that it can produce up to 50% less distributed joins than an expert (manual) partitioning scheme, 45% less than partitioning based on hashing by subject and up to 83% less distributed joins than just random assignment.".
- paper-26 hasAuthorList authorList.
- paper-26 isPartOf poster-demo-proceedings.
- paper-26 title "Distributed SPARQL Throughput Increase: On the effectiveness of Workload-driven RDF partitioning".
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- item-1 hasContent cosmin-basca.
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- item-2 hasContent abraham-bernstein.
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- paper-27 type InProceedings.
- paper-27 label "Semantic tools for improving software development in open source communities".
- paper-27 sameAs paper-27.
- paper-27 abstract "Software development communities use different communication channels such as mailing lists, forums and bug tracking systems. These channels are not integrated which makes finding information difficult and inefficient. As a result of the ALERT project we developed a system that is able to collect and annotate information from various communication channels and store it in a single knowledge base. Using the stored knowledge the system can provide users valuable functionalities such as semantic search, finding potential bug duplicates, custom notifications and issue recommendations.".
- paper-27 hasAuthorList authorList.
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- paper-27 title "Semantic tools for improving software development in open source communities".
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- item-1 hasContent gregor-leban.
- paper-28 type InProceedings.
- paper-28 label "Editing R2RML Mappings Made Easy.".
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- paper-28 abstract "The new W3C standard R2RML\footnote{See: http://www.w3.org/TR/r2rml/} defines a language for expressing mappings from relational databases to RDF, allowing applications built on top of the W3C Semantic Technology stack to seamlessly integrate relational data. A major obstacle in using R2RML, though, is the creation and maintenance of mappings. In this demo, we present a novel R2RML mapping editor, which provides a user interface to create and edit mappings interactively. Hiding the R2RML vocabulary intricacies from the user, the editor enables even non-experts to create R2RML mappings in a guided way, offers immediate feedback by means of integrated preview functionality, and covers all the major language constructs defined in the R2RML standard.".
- paper-28 hasAuthorList authorList.
- paper-28 isPartOf poster-demo-proceedings.
- paper-28 title "Editing R2RML Mappings Made Easy.".
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- item-1 hasContent kunal-sengupta.
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