SCOVO: Using Statistics on the Web of Data

Hausenblas, Michael; Halb, Wolfgang; Raimond, Yves; Feigenbaum, Lee; Ayers, Danny

doi:10.1007/978-3-642-02121-3_52

Cited by 50 publications

(42 citation statements)

References 5 publications

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“…We propose to adopt them, because, as the following sections show, they fit the requirements previously listed. Moreover, we see models such as SCOVO [18], RDF Data Cube [8] and VoID [2] as complementary to our work, since these would allow modeling and publishing the results of our analyses.…”

Section: Related Workmentioning

confidence: 99%

Uncertainty Estimation and Analysis of Categorical Web Data

Ceolin¹,

Hage²,

Fokkink³

et al. 2014

Uncertainty Reasoning for the Semantic Web III

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Abstract. Web data often manifest high levels of uncertainty. We focus on categorical Web data and we represent these uncertainty levels as first-or second-order uncertainty. By means of concrete examples, we show how to quantify and handle these uncertainties using the BetaBinomial and the Dirichlet-Multinomial models, as well as how take into account possibly unseen categories in our samples by using the Dirichlet process. We conclude by exemplifying how these higher-order models can be used as a basis for analyzing datasets, once at least part of their uncertainty has been taken into account. We demonstrate how to use the Battacharyya stastistical distance to quantify the similarity between Dirichlet distributions, and use such results to analyze a Web dataset of piracy attacks both visually and automatically.

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Section: Related Workmentioning

confidence: 99%

Uncertainty Estimation and Analysis of Categorical Web Data

Ceolin¹,

Hage²,

Fokkink³

et al. 2014

Uncertainty Reasoning for the Semantic Web III

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show abstract

“…More recently, a Recommendation Ontology has also been proposed 17 , and we may also consider alignment with our model and SCOVO -the Statistical Core Vocabulary [8] -to represent statistic information about the explanations of the recommendations.…”

Section: Related Workmentioning

confidence: 99%

dbrec — Music Recommendations Using DBpedia

Passant

2010

Lecture Notes in Computer Science

135

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Abstract. This paper describes the theoretical background and the implementation of dbrec, a music recommendation system built on top of DBpedia, offering recommendations for more than 39,000 bands and solo artists. We discuss the various challenges and lessons learnt while building it, providing relevant insights for people developing applications consuming Linked Data. Furthermore, we provide a user-centric evaluation of the system, notably by comparing it to last.fm.

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“…The practice for publishing Linked Data recommends that backlinks are published for the URIs that belong to the same data set 8 . Let us assume two URIs (mortality:ds1_281_3 9 ,dbpedia:Queen_AH 10 ) produce RDF graphs without foreign URIs. For these we will demonstrate that a co-reference service such sameAs.org resolves the navigation problem.…”

Section: A Broken Navigation With Foreign Urismentioning

confidence: 99%

“…mortality:ds1_281_3 represents mortality statistics in SCOVO [9] for the UK region of Portsmouth, dbpedia:Queen_AH is the resource that represents a hospital located in the same geographical region. The RDF graphs retrieved by resolving these URIs are not linked together by themselves because each of the publishers, following the Concise Bounded Description (CBD) 11 , only returns a subset of the RDF graph within their data sets.…”

Section: A Broken Navigation With Foreign Urismentioning

confidence: 99%

Domain-Specific Backlinking Services in the Web of Data

Salvadores

Correndo

Szomszor

et al. 2010

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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Abstract-This paper describes an Open Linked Data backlinking service, a generic architecture component to support the discovery of useful links between items across highly connected data sets. Using Public Sector Information (PSI) currently available as Linked Data, we demonstrate that contemporary publishing practices do not adequately support the ability to navigate or automatically traverse between resources published by different vendors, or the capacity to discover information relevant to a particular URI. Although some useful services in this area have been developed, such as large triple indexes of published data, and the collection of sameAs relationships between individuals, we believe that an important component is missing: a mechanism to discover the backlinks to relevant resources that cannot be found by direct URI resolution. We present the implementation of such a component, integrating data from various PSI sources.

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SCOVO: Using Statistics on the Web of Data

Cited by 50 publications

References 5 publications

Uncertainty Estimation and Analysis of Categorical Web Data

Uncertainty Estimation and Analysis of Categorical Web Data

dbrec — Music Recommendations Using DBpedia

Domain-Specific Backlinking Services in the Web of Data

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