Corpus ID: 5880345

Weaving the Pedantic Web

@inproceedings{Hogan2010WeavingTP,
  title={Weaving the Pedantic Web},
  author={A. Hogan and A. Harth and Alexandre Passant and S. Decker and A. Polleres},
  booktitle={LDOW},
  year={2010}
}
Over a decade after RDF has been published as a W3C recommendation, publishing open and machine-readable content on the Web has recently received a lot more attention, including from corporate and governmental bodies; notably thanks to the Linked Open Data community, there now exists a rich vein of heterogeneous RDF data published on the Web (the so-called \Web of Data") accessible to all. However, RDF publishers are prone to making errors which compromise the e ectiveness of applications… Expand
Lightweighting the Web of Data through Compact RDF/HDT
TLDR
This paper revisits the HDT format and exploits the latest findings in triples indexing for querying, exchanging and visualizing RDF information at large scale. Expand
Binary RDF for scalable publishing, exchanging and consumption in the web of data
TLDR
This article discusses an ongoing doctoral thesis addressing efficient formats for publication, exchange and consumption of RDF on a large scale, and proposes a binary serialization format for RDF, called HDT. Expand
Characterising RDF data sets
TLDR
This work addresses the issue of structural features emerging in real-world RDF data by proposing specific metrics to characterise RDFData, and specifically focuses on revealing the redundancy of each data set, as well as common structural patterns. Expand
Linked Data Quality
TLDR
In this work, a set of experiments were conducted on a real-world dataset (DBpedia) to evaluate the proposed approaches to linked data quality dimensions, especially the completeness and conciseness of linked datasets. Expand
Reasoning with Noisy Semantic Data
Based on URIs, HTTP and RDF, the Linked Data project [3] aims to expose, share and connect related data from diverse sources on the SemanticWeb. Linked Open Data (LOD) is a community effort to applyExpand
Assessing the Completeness Evolution of DBpedia: A Case Study
TLDR
The paper presents a set of experiments aiming to analyze the evolution of completeness quality values over several versions of DBpedia, interested in data quality and precisely in completenessquality evolution over time. Expand
Can we ever catch up with the Web?
The Semantic Web is about to grow up. By efforts such as the Linking Open Data initiative, we finally find ourselves at the edge of a Web of Data becoming reality. Standards such as OWL 2, RIF andExpand
An Analysis of Data Quality in DBpedia and Zhishi.me
TLDR
This paper presents some problems concerning the quality of Linked Data discovered through analysis on two cross-domain RDF datasets: DBpedia and Zhishi.me, both of which are based on automatic extraction of resources from existing encyclopedias. Expand
A Rule-Based Approach to Address Semantic Accuracy Problems on Linked Data
TLDR
The number of available datasets that follow the SW and LD ideas has been considerably increasing, leading to what is currently known as the Web of Data (WoD). Expand
Publishing Data that Links Itself: A Conjecture
TLDR
It is made the conjecture that explicit links are not needed for realizing the semantic web and the need for a tool would allow data publishers to have an active role in producing entity descriptions that can then be linked automatically. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 33 REFERENCES
Context Dependent Reasoning for Semantic Documents in Sindice
The Sindice Semantic Web index provides search capabilities over today more than 30 million documents. A scalable reasoning mechanism for real-world web data is important in order to increase theExpand
Linked Data
TLDR
This Synthesis lecture provides readers with a detailed technical introduction to Linked Data, including coverage of relevant aspects of Web architecture, and provides guidance and best practices on architectural approaches to publishing Linked data. Expand
Performing Object Consolidation on the Semantic Web Data Graph
TLDR
A method for performing large-scale object consolidation to merge identifiers of equivalent instances occurring across data sources is presented; the algorithm is based on the analysis of defined inverse functional properties: properties which have values unique to an instance. Expand
Characterizing the Semantic Web on the Web
TLDR
A collection of Semantic Web documents from an estimated ten million available on the Web is harvested and analyzed, and a number of metrics, properties and usage patterns found to follow a power law distribution are described. Expand
Logical Foundations of (e)RDF(S): Complexity and Reasoning
TLDR
This paper considers embeddings of RDF and RDFS in logic to show how techniques from deductive databases and description logics can be used for reasoning with RDF(S) and establishes several novel complexity results. Expand
Scalable Authoritative OWL Reasoning for the Web
TLDR
The authors present their system for performing rule-based forward-chaining reasoning which they call SAOR: Scalable Authoritative OWL Reasoner, which is based upon a separation of terminological data from assertional data and comprises of a lightweight in-memory index, on-disk sorts and file-scans. Expand
MultiCrawler: A Pipelined Architecture for Crawling and Indexing Semantic Web Data
TLDR
This work contrasts the approach to conventional web crawlers, and describes and evaluates a five-step pipelined architecture to crawl and index data from both the traditional and the Semantic Web. Expand
Minimal Deductive Systems for RDF
This paper presents a minimalist program for RDF, by showing how one can do without several predicates and keywords of the RDF Schema vocabulary, obtaining a simpler language which preserves theExpand
application/rdf+xml Media Type Registration
This document describes a media type (application/rdf+xml) for use with the Extensible Markup Language (XML) serialization of the Resource Description Framework (RDF). RDF is a language designed toExpand
A Survey of the Web Ontology Landscape
TLDR
The collection of statistical data allows us to perform analysis and report some trends and it is noted that of the largest ontologies surveyed here, most do not exceed the description logic expressivity of $\mathcal{ALC}$. Expand
...
1
2
3
4
...