Understands a named graph as one of the collection of graphs comprising an RDF dataset, with a graph name unique in the context of that dataset. – Linked Data for Professional Education

Tutorial on Metadata Provenance

Wed, 23 Nov 2016 05:50:23 +0000

This two-part slide presentation was used at the Semantic Web in Libraries (SWIB) Conference. "Part 1: Linked Data Provenance" answers the questions, "How can we identify RDF data, statements within RDF data, Linked Data, … in order to provide provenance?". "Part 2: The PROV Ontology" addresses, "How can we represent the provenance of resources?".

URL: http://swib.org/swib13/slides/eckert_swib13_118.pdf
Keywords: OAI-ORE (Open Archives Initiative Object Reuse and Exchange), Dublin Core, Reification, Versioning, Provenance
Author: Eckert, Kai
Date created: 2013-11-25 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: instruction
Educational audience: student

Open Provenance Model Tutorial

Wed, 23 Nov 2016 05:50:23 +0000

Provenance, which is an explicit representation of the origin of data, is important for users to be able to put their trust in data. The Open Provenance Model (OPM) is a community-driven model for provenance which allows provenance to be exchanged between systems. This tutorial introduces the rationale for the OPM, its concepts and theoretical underpinnings, its concrete bindings to XML Schema and OWL, and emerging profiles. This tutorial runs through a series of small case studies exploiting OPM provenance. Some examples demonstrate how to create and serialize graphs using either the Java-based OPMtoolbox or Protege.

URL: http://openprovenance.org/tutorial/
Keywords: Provenance, Web Ontology Language (OWL), XML Schema
Author: Zhao, Jun
Date created: 2010-09-20 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P8H
Educational use: instruction
Educational audience: student

Provenance: The Missing Component of the Semantic Web for Privacy and Trust

Wed, 23 Nov 2016 05:50:22 +0000

Semantic Web data currently does not have any standardized or de facto agreed upon way to exhibit provenance information, even though provenance is the foundation for any reasonable model of privacy and trust. This paper reviews previous work in relational database systems on provenance and puts forward the concept that the three main provenances operators from provenance work in relational database systems (insertion, deletion, and copy) can be used on the Semantic Web. Furthermore, it suggests that such information naturally should be stored in or using the name URI of named graphs. A real-world example is used to illustrate that such an approach can help solve practical issues of privacy and trust in social networks using

URL: http://ceur-ws.org/Vol-447/paper9.pdf
Keywords: Provenance, Named graph, RDBMS
Author: Halpin, Harry
Date created: 2009-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

Coloring RDF Triples to Capture Provenance

Wed, 23 Nov 2016 05:50:22 +0000

Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. Managing provenance becomes even more important when we consider not only explicitly stated but also implicit triples (discovered through RDF Schema inference rules) in conjunction with declarative languages for querying and updating RDF graphs. This paper proposes a method which relies on colored RDF triples represented as quadruples to capture and manipulate explicit provenance information.

URL: http://athena.ics.forth.gr:9090/SWKM/publications/ColoringRDFTriplestoCaptureProvenance.pdf
Keywords: RDF Schema, Provenance, Named graph
Author: Christophides, Vassilis
Publisher: Springer
Date created: 2009-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

Provenance and Annotations for Linked Data

Wed, 23 Nov 2016 05:50:22 +0000

Provenance tracking for Linked Data requires the identification of Linked Data resources. Annotating Linked Data on the level of single statements requires the identification of these statements. The author introduces the concept of a "Provenance Context" as the basis for a consistent data model for Linked Data that incorporates current best-practices and creates an identity for every published Linked Dataset. A comparison of this model with the Dublin Core Abstract Model is provided to gain further understanding of how Linked Data affects the traditional view on metadata and to what extent our approach could help to mediate. Finally, a linking mechanism based on RDF reification is developed to annotate single statements within a Provenance Context.

URL: http://dcevents.dublincore.org/IntConf/dc-2013/paper/view/154/71
Keywords: Provenance, Reification, Dublin Core, Vocabulary of Interlinked Datasets (VoID), Description Set, Named graph
Author: Eckert, Kai
Date created: 2013-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Providing Linked Data Quiz

Sun, 23 Oct 2016 05:39:27 +0000

Ten multiple choice questions that are intended to test one's knowledge after reading and viewing the materials in Module 3: (http://www.euclid-project.eu/modules/course3).

URL: http://www.euclid-project.eu/content/chapter-3-quiz.html
Keywords: Linked Data Principles, Linked Data, Dataset, RDF, Relational Model, R2RML, HTTP URIs, SPARQL endpoint, VoID, Open Refine, GATECloud, Silk
Publisher: EUCLID Project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

Providing Linked Data

Sun, 23 Oct 2016 05:39:27 +0000

This module covers the whole spectrum of Linked Data production and exposure. After a grounding in the Linked Data principles and best practices, with special emphasis on the VoID vocabulary, it covers R2RML, operating on relational databases, Open Refine, operating on spreadsheets, and GATECloud, operating on natural language. Finally it describes the means to increase interlinkage between datasets, especially the use of tools like Silk.

URL: http://www.euclid-project.eu/modules/chapter3.html
Keywords: Linked Data, Linked Data Principles, Dataset, RDF, Relational Model, R2RML, HTTP URIs, SPARQL endpoint, VoID, Open Refine, GATECloud, Silk
Publisher: EUCLID Project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

Tracking RDF Graph Provenance using RDF Molecules

Sun, 17 Jan 2016 13:56:09 +0000

The Semantic Web facilitates the integration of partial knowledge and finding evidence for hypothesis from Web knowledge sources. However, the appropriate level of granularity for tracking provenance of RDF graphs remains in debate. The RDF document level is too coarse because it could contain irrelevant information. On the other hand, the RDF triple level will fail when two triples share the same blank node. Therefore, this paper investigates lossless decomposition of RDF graphs and tracking the provenance of RDF graphs using the "RDF molecule", which is the finest and most lossless component of an RDF graph.

URL: http://ebiquity.umbc.edu/_file_directory_/papers/178.pdf
Keywords: Provenance, Graph decomposition, Blank nodes, Named graph
Author: Peng, Yun
Publisher: Pinheiro da Silva, Paulo
Date created: 2005-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Interactivity type: expositive

On Explicit Provenance Management in RDF/S Graphs

Sun, 17 Jan 2016 13:56:09 +0000

The notion of RDF Named Graphs has been proposed in order to assign provenance information to data described using RDF triples. This paper argues that named graphs alone cannot capture provenance information in the presence of RDF Schema reasoning and updates. In order to address this problem, the authors introduce the notion of RDF/S Graphsets, in which a graphset is associated with a set of RDF named graphs and contain the triples that are jointly owned by the named graphs that constitute the graphset. They formalize the notions of RDF named graphs and RDF/S graphsets and propose query and update languages that can be used to handle provenance information for RDF/S graphs taking into account RDF Schema semantics.

URL: https://www.usenix.org/legacy/event/tapp09/tech/full_papers/pediaditis/pediaditis_html/
Keywords: Named graph, RDF Schema, Provenance
Author: Christophides, V.
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

Linked Data Patterns

Sat, 16 Jan 2016 13:43:28 +0000

This resource is a pattern catalogue for modelling, publishing, and consuming Linked Data which adopts a tried and tested means of communicating knowledge and experience in software development: the design pattern. The intent is to create a ready reference that will be useful for both the beginner and the experienced practitioner alike. It is also intended to grow and mature in line with the practitioner community. NOTE: This is a book-length resource and covers a wide range of different areas from the design of Web-scale identifiers to application development patterns.

URL: http://patterns.dataincubator.org/book/index.html
Keywords: Reification, Graph annotation, Autodiscovery, Named query, Binding
Author: Dodds, Leigh
Date created: 2012-05-31 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H