This slide presentation covers the whole spectrum of Linked Data production and exposure. It begins with a grounding in Linked Data principles and best practices, with special emphasis on the VoID vocabulary. It then covers R2RML (for operating on relational databases), Open Refine (for operating on spreadsheets), and GATECloud (for operating on natural language). Finally, the presentation describes means to increase inter-linkage between datasets, focusing on tools like Silk. NOTE: These slides represent material from several lessons that comprised a larger "module" of the EUCLID Project. As such, they cover a wider range of topics than most resources.
URL: http://www.slideshare.net/EUCLIDproject/providing-linked-data?related=6
Keywords: Linked Open Vocabularies (LOV), Vocabulary of Interlinked Datasets (VOID), Simple Knowledge Organization System (SKOS), Validation, Link Discovery, Data extraction
Author: Norton, Barry
Publisher: EUCLID Project
Date created: 2013-04-27 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
- [MOVE] Knows portals and registries for finding RDF-based vocabularies.
- RDF vocabularies and application profiles
- Finding RDF-based vocabularies
- [MOVE] Knows portals and registries for finding RDF-based vocabularies.
- Finds properties and classes in the Linked Open Vocabularies (LOV) observatory and explores their versions and dependencies.
- [MOVE] Knows portals and registries for finding RDF-based vocabularies.
- Finding RDF-based vocabularies
- RDF vocabularies and application profiles
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Creating and transforming Linked Data
- Cleaning and reconciling RDF data
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Cleaning and reconciling RDF data
- Creating and transforming Linked Data
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Creating and transforming Linked Data
- Creating RDF data
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Creating RDF data
- Creating and transforming Linked Data
- Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.
- Creating and transforming Linked Data
- Creating RDF data
- Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.
- Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.
- Creating RDF data
- Creating and transforming Linked Data
- Knows Simple Knowledge Organization System, or SKOS (2009), an RDF vocabulary for expressing concepts that are labeled in natural languages, organized into informal hierarchies, and aggregated into co
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Knows Simple Knowledge Organization System, or SKOS (2009), an RDF vocabulary for expressing concepts that are labeled in natural languages, organized into informal hierarchies, and aggregated into co
- Knows Simple Knowledge Organization System, or SKOS (2009), an RDF vocabulary for expressing concepts that are labeled in natural languages, organized into informal hierarchies, and aggregated into co
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Fundamentals of Linked Data
- Linked Data principles
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Linked Data principles
- Fundamentals of Linked Data
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- RDF vocabularies and application profiles
- Mapping RDF vocabularies
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- Mapping RDF vocabularies
- RDF vocabularies and application profiles
- Understands that the properties of hierarchical subsumption within an RDF vocabulary — rdfs:subPropertyOf and rdfs:subClassOf — can also be used to express mappings between vocabularies.
- RDF vocabularies and application profiles
- Mapping RDF vocabularies
- Understands that the properties of hierarchical subsumption within an RDF vocabulary — rdfs:subPropertyOf and rdfs:subClassOf — can also be used to express mappings between vocabularies.
- Understands that the properties of hierarchical subsumption within an RDF vocabulary — rdfs:subPropertyOf and rdfs:subClassOf — can also be used to express mappings between vocabularies.
- Mapping RDF vocabularies
- RDF vocabularies and application profiles
- Registers datasets with relevant services for discovery.
- Interacting with RDF data
- Finding RDF data
- Registers datasets with relevant services for discovery.
- Registers datasets with relevant services for discovery.
- Finding RDF data
- Interacting with RDF data
- Uses available vocabularies for dataset description to support their discovery.
- Interacting with RDF data
- Finding RDF data
- Uses available vocabularies for dataset description to support their discovery.
- Uses available vocabularies for dataset description to support their discovery.
- Finding RDF data
- Interacting with RDF data
- Understands that to be "dereferencable", a URI should be usable to retrieve a representation of the resource it identifies.
- RDF vocabularies and application profiles
- Publishing RDF vocabularies
- Understands that to be "dereferencable", a URI should be usable to retrieve a representation of the resource it identifies.
- Ensures that when dereferenced by a Web browser, a URI returns a representation of the resource in human-readable HTML.
- Ensures that when dereferenced by an RDF application, a URI returns representation of the resource in the requested RDF serialization syntax.
- Understands that to be "dereferencable", a URI should be usable to retrieve a representation of the resource it identifies.
- Publishing RDF vocabularies
- RDF vocabularies and application profiles
- Understands that to be "persistent", a URI must have a stable, well-documented meaning and be plausibly intended to identify a given resource in perpetuity.
- Creating and transforming Linked Data
- Managing identifiers (URI)
- Understands that to be "persistent", a URI must have a stable, well-documented meaning and be plausibly intended to identify a given resource in perpetuity.
- Understands that to be "persistent", a URI must have a stable, well-documented meaning and be plausibly intended to identify a given resource in perpetuity.
- Managing identifiers (URI)
- Creating and transforming Linked Data
- Understands trade-offs between "opaque" URIs and URIs using version numbers, server names, dates, application-specific file extensions, query strings or other obsoletable context.
- Creating and transforming Linked Data
- Managing identifiers (URI)
- Understands trade-offs between "opaque" URIs and URIs using version numbers, server names, dates, application-specific file extensions, query strings or other obsoletable context.
- Understands trade-offs between "opaque" URIs and URIs using version numbers, server names, dates, application-specific file extensions, query strings or other obsoletable context.
- Managing identifiers (URI)
- Creating and transforming Linked Data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Creating and transforming Linked Data
- Mapping and enriching RDF data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Mapping and enriching RDF data
- Creating and transforming Linked Data
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