Piggy Bank: Experience the Semantic Web inside your web browser

By David Huynh, Stefano Mazzocchi, David R Karger. Journal of Web Semantics, 2005

351 citations recorded by the source corpus.

The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content. To break this chicken-and-egg problem, thus enabling more flexible informa-tion access, we have created a web browser extension called Piggy Bankthat lets users make use of Semantic Web content within Web content as users browse the Web. Wherever Semantic Web content is not available, Piggy Bank can invoke screenscrapers to re-structure information within web pages into Semantic Web format. Through the use of Semantic Web technologies, Piggy Bank provides direct, immediate benefits to users in their use of the existing Web. Thus, the ex-istence of even just a few Semantic Web-enabled sites or a few scrapers already benefits users. Piggy Bank thereby offers an easy, incremental upgrade path to users without requiring a wholesale adoption of the Semantic Web's vision. To further improve this Semantic Web experience, we have created Semantic Bank, a web server application that lets Piggy Bank users share the Semantic Web information they have collected, enabling collaborative efforts to build so-phisticated Semantic Web information repositories through simple, everyday's use of Piggy Bank.

Subfields: Information Systems, Information Systems and Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/5f8877155a9edb207300595bcb21fb0845bf27cf

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Citations in the corpus

Sindice.com: Weaving the Open Linked Data (2007, neutral): “Documents mentioning Tim Berners-Lee (RDF/XML) Sindice enables Semantic Web clients such as Piggy Bank (Huynh et al. , 2007) or Tabulator (Berners-Lee et al. , 2006) to ﬁnd documents with information about a given resource, identiﬁed through an explicit URI, an inverse functional property or a keywo”
State of the nation in data integration for bioinformatics (2008, methodology): “By exposing, sharing and connecting pieces of data on the Semantic Web, it should be possible to navigate a ‘‘Web of Data” by following links from a data item within one data source to related data items within other sources, perhaps using a Semantic Web browser like PiggyBank [44].”
The RDF-3X engine for scalable management of RDF data (2010, background): “0 platforms for online communities are considering RDF as a non-proprietary exchange format and as an instrument for the construction of information mashups [25,26,44].”
Tabulator: Exploring and Analyzing linked data on the Semantic Web (2006, neutral): “Some applications including Magpie [34], Haystack [35], Piggybank [36], and Longwell [37] do generic semantic data browsing.”
Semantic Web in data mining and knowledge discovery: A comprehensive survey (2016, methodology): “Bank [16], and those with visualization options, like Fenfire [17], IsaViz,4 and RelFinder.”
Sindice.com: a document-oriented lookup index for open linked data (2008, methodology): “Sindice enables Semantic Web clients such as Piggy Bank (Huynh et al., 2007), DBin (Tummarello et al., 2006) and Tabulator (Berners-Lee et al., 2006) to ﬁnd documents with information about a given resource, identiﬁed through an explicit URI, an inverse functional property or a keyword search.”
RDF-3X: a RISC-style engine for RDF (2008, background): “0 platforms for online communities are considering RDF as a non-proprietary exchange format and as an instrument for the construction of information mashups [21, 22, 31].”