TWC International Open Government Dataset Catalog

Erickson, John S.; Rozell, Eric; Shi, Yongmei; Zheng, Jin; Ding, Li; Hendler, James A.

doi:10.1145/2063518.2063555

Cited by 12 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[11]. Recent research work also aims to facilitate government data ecosystems through specialized portals [12] and distributed dataset catalogs [13]. Another important issue, which is particularly tackled by this paper for the statistics domain, is enabling interoperability of government data catalogs [17].…”

Section: Related Workmentioning

confidence: 99%

Publishing Statistical Data on the Web

Salas

Mota

Breitman

et al. 2012

Int. J. Semantic Computing

View full text Add to dashboard Cite

Abstract-Statistical data is one of the most important sources of information, relevant for large numbers of stakeholders in the governmental, scientific and business domains alike. In this article, we overview how statistical data can be managed on the Web. With OLAP2DataCube and CSV2DataCube we present two complementary approaches on how to extract and publish statistical data. We also discuss the linking, repair and the visualization of statistical data. As a comprehensive use case, we report on the extraction and publishing on the Web of statistical data describing 10 years of life in Brazil.

show abstract

Section: Related Workmentioning

confidence: 99%

Publishing Statistical Data on the Web

Salas

Mota

Breitman

et al. 2012

Int. J. Semantic Computing

View full text Add to dashboard Cite

show abstract

“…However, consider a case where a user is interested in continent of origin for a dataset instead of country of origin. IOGDS use DBPedia 2 We have implemented this behavior in an ad hoc way for a biological and chemical oceanography data catalog [3]. We used mappings from catalog specific dataset parameters to an external source of parameter categories.…”

Section: S2s Web Service Abstraction Layer For Linked Data Facetsmentioning

confidence: 99%

“…Providing this kind of context will enable users to gain broader insights about open government data in addition to enabling the discovery of individual datasets. 2 DBPedia, http://dbpedia.org/ …”

Section: S2s Presentation Framework For Localization and Contextmentioning

confidence: 99%

See 1 more Smart Citation

From international open government dataset search to discovery

Rozell

Erickson

Hendler

2012

Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance

Self Cite

View full text Add to dashboard Cite

In this poster, we will present the International Open Government Dataset Search (IOGDS). IOGDS is a faceted browsing interface for searching over more than one million open government datasets from around the world. We will present ongoing research and development towards the improved discovery and access to open government data. IOGDS has been designed around S2S, a framework for constructing user interfaces over Semantic Web services. We will discuss how the Web service abstraction layer in the S2S framework can be extended to support the use of external vocabularies to aid in the discovery of open government datasets. We will also discuss how the S2S framework can provide localization and context for non-expert users to improve the accessibility of open government data.

show abstract

“…Open Government Data (OGD) is one rapidly growing portion of Open Data. Catalyzed in 2009 by the United States and the United Kingdom, governments from local to national levels are publishing their data for public use [14,5]. These data are available for personal or commercial use and offer the potential to increase government transparency and accountability and create many opportunities for businesses and communities.…”

Section: Introductionmentioning

confidence: 99%

Towards Unified Provenance Granularities

Lebo

Wang

Graves

et al. 2012

Lecture Notes in Computer Science

View full text Add to dashboard Cite

As Open Data becomes commonplace, methods are needed to integrate disparate data from a variety of sources. Although Linked Data design has promise for integrating world wide data, integrators often struggle to provide appropriate transparency for their sources and transformations. Without this transparency, cautious consumers are unlikely to find enough information to allow them to trust third party content. While capturing provenance in RPI's Linking Open Government Data project, we were faced with the common problem that only a portion of provenance that is captured is effectively used. Using our water quality portal's use case as an example, we argue that one key to enabling provenance use is a better treatment of provenance granularity. To address this challenge, we have designed an approach that supports deriving abstracted provenance from granular provenance in an open environment. We describe the approach, show how it addresses the naturally occurring unmet provenance needs in a family of applications, and describe how the approach addresses similar problems in open provenance and open data environments.

show abstract

TWC International Open Government Dataset Catalog

Cited by 12 publications

References 0 publications

Publishing Statistical Data on the Web

Publishing Statistical Data on the Web

From international open government dataset search to discovery

Towards Unified Provenance Granularities

Contact Info

Product

Resources

About