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Matches in ScholarlyData for { ?s ?p ?o. }

• item-3 hasContent albert-zuendorf.
• item-3 previous item-2.
• 41 creator daniel-p-miranker.
• 41 creator mayank-kejriwal.
• 41 type InProceedings.
• 41 label "Semi-supervised Instance Matching Using Boosted Classifiers".
• 41 sameAs 41.
• 41 abstract "Instance matching concerns identifying pairs of instances that refer to the same underlying entity. Current state-of-the-art instance matchers use machine learning methods. Supervised learning systems achieve good performance by training on significant amounts of manually labeled samples. To alleviate the labeling effort, this paper presents a minimally supervised instance matching approach that is able to deliver competitive performance using only 2% training data and little parameter tuning. As a first step, the classifier is trained in an ensemble setting using boosting. Iterative semi-supervised learning is used to improve the performance of the boosted classifier even further, by re-training it on the most confident samples labeled in the current iteration. Empirical evaluations on a suite of six publicly available benchmarks show that the proposed system outcompetes optimization-based minimally supervised approaches in 1-7 iterations. The system's average F-Measure is shown to be within 2.5% of that of recent supervised systems that require more training samples for effective performance. ".
• 41 hasAuthorList authorList.
• 41 isPartOf proceedings.
• 41 keyword "Boosting".
• 41 keyword "Instance Matching".
• 41 keyword "Semi-supervised Learning".
• 41 title "Semi-supervised Instance Matching Using Boosted Classifiers".
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• item-1 hasContent mayank-kejriwal.
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• item-2 hasContent daniel-p-miranker.
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• 54 creator erik-mannens.
• 54 creator joachim-van-herwegen.
• 54 creator rik-van-de-walle.
• 54 creator ruben-verborgh.
• 54 type InProceedings.
• 54 label "Query Execution Optimization for Clients of Triple Pattern Fragments".
• 54 sameAs 54.
• 54 abstract "In order to reduce the cost of publishing queryable Linked Data, Triple Pattern Fragments (TPF) were introduced as a~simple interface to RDF triples. It allows for SPARQL query execution at low server cost, by partially shifting the load from the server to the client. The previously proposed client algorithm uses more HTTP requests than strictly necessary, and only makes partial use of the available metadata. In this paper, we propose a new query execution algorithm for a client communicating with a TPF server. Instead of using a greedy solution, we maintain an overview of the entire query to find the steps that are optimal for solving a given query. We show multiple cases in which our implementation produces a solution containing far fewer server calls, while not significantly increasing the cost in other cases. This improves the efficiency of common SPARQL queries against TPF interfaces, augmenting their viability compared to the more powerful, but more costly, SPARQL interface.".
• 54 hasAuthorList authorList.
• 54 isPartOf proceedings.
• 54 keyword "LDF".
• 54 keyword "Linked Data".
• 54 keyword "SPARQL".
• 54 keyword "TPF".
• 54 keyword "query optimization".
• 54 keyword "querying".
• 54 title "Query Execution Optimization for Clients of Triple Pattern Fragments".
• authorList type List.
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• item-1 hasContent joachim-van-herwegen.
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• item-2 type ListItem.
• item-2 hasContent ruben-verborgh.
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• item-2 previous item-1.
• item-3 type ListItem.
• item-3 hasContent erik-mannens.
• item-3 next item-4.
• item-3 previous item-2.
• item-4 type ListItem.
• item-4 hasContent rik-van-de-walle.
• item-4 previous item-3.
• 63 creator daniel-peintner.
• 63 creator darko-anicic.
• 63 creator sebastian-kabisch.
• 63 type InProceedings.
• 63 label "Standardized and Efficient RDF Encoding for Constrained Embedded Networks".
• 63 sameAs 63.
• 63 abstract "In the context of Web of Things (WoT), embedded networks have to face the challenge of getting ever more complex. The complexity arises as the number of interchanging heterogeneous devices and different hardware resource classes always increase. When it comes to the development and the use of embedded networks in the WoT domain, Semantic Web technologies are seen as one way to tackle this complexity. For example, properties and capabilities of embedded devices may be semantically described in order to enable an effective search over different classes of devices, semantic integration may be deployed to integrate data produced by these devices, or embedded devices may be empowered to reason about semantic data in the context of a WoT application. Despite these possibilities, a wide adoption of Semantic Web or Linked Data technologies in the domain of embedded networks has not been established yet. One reason for this is an inefficient representation of semantic data. Serialisation formats of RDF data, such as for instance a plain-text XML, are not suitable for embedded devices. In this paper, we present an approach that enables constrained devices, such as microcontrollers with very limited hardware resources, to store and process semantic data. Our approach is based on the W3C Efficient XML Interchange (EXI) format. To show the applicability of the approach, we provide an EXI-based RDF Store and show associated evaluation results.".
• 63 hasAuthorList authorList.
• 63 isPartOf proceedings.
• 63 keyword "EXI".
• 63 keyword "Microcontroller".
• 63 keyword "RDF Store".
• 63 keyword "RDF".
• 63 keyword "Web of Things (WoT)".
• 63 title "Standardized and Efficient RDF Encoding for Constrained Embedded Networks".
• authorList type List.
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• authorList hasItem item-1.
• authorList hasItem item-2.
• authorList hasItem item-3.
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• item-1 type ListItem.
• item-1 hasContent sebastian-kabisch.
• item-1 next item-2.
• item-2 type ListItem.
• item-2 hasContent daniel-peintner.
• item-2 next item-3.
• item-2 previous item-1.
• item-3 type ListItem.
• item-3 hasContent darko-anicic.
• item-3 previous item-2.
• 70 creator laurens-rietveld.
• 70 creator miel-vander-sande.
• 70 creator ruben-verborgh.
• 70 creator stefan-schlobach.
• 70 creator wouter-beek.
• 70 type InProceedings.

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