Data linking for the Semantic Web

By specifying that published datasets must link to other existing datasets, the 4th linked data principle ensures a Web of data and not just a set of unconnected data islands. The authors propose in this paper the term data linking to name the problem of finding equivalent resources on the Web of linked data. In order to perform data linking, many techniques were developed, finding their roots in statistics, database, natural language processing and graph theory. The authors begin this paper by providing background information and terminological clarifications related to data linking. Then a comprehensive survey over the various techniques available for data linking is provided. These techniques are classified along the three criteria of granularity, type of evidence, and source of the evidence. Finally, the authors survey eleven recent tools performing data linking and we classify them according to the surveyed techniques

Destinations of leavers from Scottish schools : 2006/07

"This Statistics Publication Notice presents national and Education Authority level information on the destinations of young people leaving Scottish schools (publicly funded and grant-aided secondary schools) and updates the publication “Destinations of Leavers from Scottish Schools: 2005/06”. Data linking the destinations of school leavers to pupil characteristics is presented for the first time. In addition, the accompanying tables include limited information on leavers from independent secondary schools" -- page 1

Assessing Data Linking in Transportation Technical Reports

In 2013, the Purdue Libraries partnered with the Joint Transportation Research Program (JTRP), a collaboration between Purdue University and the Indiana Department of Transportation (INDOT), to incorporate the publication of research data sets into the technical report publication process. This project extended an existing process, developed in partnership between the Purdue Libraries, Purdue University Press, and JTRP, which leveraged Purdue\u27s institutional repository to replace artisanal production processes with a more professional approach (Zilinski, Scherer, Bullock, Horton, & Matthews, forthcoming; Newton, Bullock, Watkinson, Bracke, & Horton, 2012). The existing workflow focused on production of textual documents, but did not address opportunities related to research data or geospatial information within the reports. The new workflow was intended to improve access to, and usability of, research data embedded in the reports by combining functions of Purdue e-Pubs with functions of the Purdue University Research Repository (PURR). This paper will present a framework for repository assessment including performance indicators and instruments measuring the impact of leveraging data and institutional repositories for linking publications to data. This framework will allow us to address research questions such as: What is the strategic value of linking data and publication for researchers and research centers? How can repositories contribute to key performance outcomes for researchers and research center administrators? What is the value of this initiative to library administration? Why is this relationship and initiative important to the libraries in developing repository and data services

Classification rule learning for data linking

Many approaches have been defined to link data items automatically. Nevertheless, when data are numerous and when the schema is unknown, most of these approaches are too time-consuming. We propose an approach where classification rules are learnt thanks to a training set made of linked data. These classification rules can then be applied in order to classify data items and reduce the linking space i.e the space made of data item pairs that have to be compared. First experiments have been conducted on RDF data sets describing electronic products

Data linking: capturing and utilising implicit schema-level relations

Schema-level heterogeneity represents an obstacle for automated discovery of coreference resolution links between individuals. Although there is a multitude of existing schema matching solutions, the Linked Data environment differs from the standard scenario assumed by these tools. In particular, large volumes of data are available, and repositories are connected into a graph by instance-level mappings. In this paper we describe how these features can be utilised to produce schema-level mappings which facilitate the instance coreference resolution process. Initial experiments applying this approach to public datasets have produced encouraging results

Enhanced journals - a case study with general remarks

The Information Bulletin on Variable Stars - a small astronomy journal published in Hungary - was an early Open Access journal. Now it offers several enhanced features to its reader community. Relying on the rather unique publishing environment existing in the field of astronomy, and on software developed locally, this journal is markedly different from other enhanced journals in certain aspects. We explore the key features of enhanced and common electronic journals: reference linking, database connections, data linking, multi-media content, feedback from the reader community, quality control. We argue that while exploring new avenues of scientific publishing, one should conservatively preserve some traditional values and features. Some aspects of article disassembly - dealing with items smaller than the usual basic publication unit, the article - are explored too. Figures, for example, are article components which might be re-used, used outside the original context

MeLinDa: an interlinking framework for the web of data

The web of data consists of data published on the web in such a way that they can be interpreted and connected together. It is thus critical to establish links between these data, both for the web of data and for the semantic web that it contributes to feed. We consider here the various techniques developed for that purpose and analyze their commonalities and differences. We propose a general framework and show how the diverse techniques fit in the framework. From this framework we consider the relation between data interlinking and ontology matching. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes, but would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments.Comment: N° RR-7691 (2011