URI Fragment Identifiers for the text/plain Media Type

Wilde, E.; Duerst, M.

doi:10.17487/rfc5147

Cited by 13 publications

(12 citation statements)

References 9 publications

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“…Similar to application/pdf [RFC3778] and text/plain [RFC5147], this registration permits a parameter syntax for fragment identifiers. The syntax is a parameter name, the equals sign "=" (which MUST NOT be percent-encoded), and a parameter value.…”

Section: Parametersmentioning

confidence: 99%

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The text/markdown Media Type

Leonard¹

2016

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Section: Parametersmentioning

confidence: 99%

“…The only parameter defined in this registration is "line", which has the same meaning as in [RFC5147], i.e., counting is zero-based. For example: "#line=10" identifies the eleventh line of Markdown input.…”

Section: Parametersmentioning

confidence: 99%

The text/markdown Media Type

Leonard¹

2016

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“…Templates can contain any wikitext expansion, HTML rendering instructions and placeholders for arguments. In the example page in Figure 4, the senseid template 32 is used, which does nothing being visible on the rendered page, but adds an id attribute to the HTML li-tag (which is created by using #). If the English Wiktionary community decides to change the layout of senseid definitions at some point in the future , only a single change to the template definition is required.…”

Section: Processing Wiki Syntaxmentioning

confidence: 99%

“…The offset-based URI scheme focuses on ease of implementation and is compatible with the position and range definition of RFC 5147 by [32] (esp. Section 2.1.1) and builds upon it in terms of encoding and counting character positions (See [14] for a discussion).…”

Section: Offset-based Urismentioning

confidence: 99%

TowardsWeb-Scale Collaborative Knowledge Extraction

Hellmann

Auer

2013

The People’s Web Meets NLP

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While the Web of Data, the Web of Documents and Natural Language Processing are well researched individual fields, approaches to combine all three are fragmented and not yet well aligned. This chapter analyzes current efforts in collaborative knowledge extraction to uncover connection points between the three fields. The special focus is on three prominent RDF data sets (DBpedia, LinkedGeoData and Wiktionary2RDF), which allow users to influence the knowledge extraction process by adding another crowd-sourced layer on top. The recently published NLP Interchange Format (NIF) provides a way to annotate textual resources on the Web through the assignment of URIs with fragment identifiers. We will show how this formalism can easily be extended to encompass new annotation layers and vocabularies.

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“…Offset-based URIs The offset-based URI scheme focuses on ease of implementation and is compatible with the position and range definition of RFC 5147 [6] (esp. Section 2.1.1) and builds upon it in terms of encoding and counting character positions (See Section 4 for a discussion).…”

Section: Nif Uri Schemesmentioning

confidence: 99%

Linked-Data Aware URI Schemes for Referencing Text Fragments

Hellmann

Lehmann

Auer

2012

Lecture Notes in Computer Science

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Abstract. The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The motivation behind NIF is to allow NLP tools to exchange annotations about text documents in RDF. Hence, the main prerequisite is that parts of the documents (i.e. strings) are referenceable by URIs, so that they can be used as subjects in RDF statements. In this paper, we present two NIF URI schemes for different use cases and evaluate them experimentally by benchmarking the stability of both NIF URI schemes in a Web annotation scenario. Additionally, the schemes are compared with other available schemes used to address text with URIs. The String Ontology, which is the basis for NIF, fixes the referent (i.e. a string in a given text) of the URIs unambiguously for machines and thus enables the creation of heterogeneous, distributed and loosely coupled NLP applications, which use the Web as an integration platform.

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URI Fragment Identifiers for the text/plain Media Type

Cited by 13 publications

References 9 publications

The text/markdown Media Type

The text/markdown Media Type

TowardsWeb-Scale Collaborative Knowledge Extraction

Linked-Data Aware URI Schemes for Referencing Text Fragments

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