This document proposes an RDF vocabulary to describe indexes which are intended to be published on the Web, to facilitate the search of data by Semantic Web agents. Some indexing and index-querying techniques are also introduced.
+This document proposes an RDF vocabulary to describe indexes which are intended to be published on the Web, to + facilitate the search of data by Semantic Web agents. Some indexing and index-querying techniques are also + introduced.
The Semantic Web vision consists in publishing on the Web machine-readable documents so that machine, like humans, become able to browse the Web, following links from one document to another, in order to gather information and answer complex questions.
+The Semantic Web vision consists in publishing on the Web machine-readable documents so that machine, like + humans, become able to browse the Web, following links from one document to another, in order to gather + information and answer complex questions.
-Hovewer, when a lot of data is available, gathering information and answering complex questions becomes very ineffiscient without indexes. Indexes are made of meta-data that allow to find data more easily and more quickly. Indexing is a widely used mechanism in all kind of software, especially in databases.
+Hovewer, when a lot of data is available, gathering information and answering complex questions becomes very + ineffiscient without indexes. Indexes are made of meta-data that allow to find data more easily and more quickly. + Indexing is a widely used mechanism in all kind of software, especially in databases.
-This document proposes an RDF vocabulary to describe one kind of such indexes, which are also intended to be published on the Web, to facilitate the search of data by Semantic Web agents. In addition, this document also presents some indexing and index-querying techniques.
+This document proposes an RDF vocabulary to describe one kind of such indexes, which are also intended to be + published on the Web, to facilitate the search of data by Semantic Web agents. In addition, this document also + presents some indexing and index-querying techniques.
-This need for a standard indexing vocabulary appeared in the context of the Solid protocol where several applications interact in the same way with the same data to achieve interoperability. Indeed, as the data is decoupled from the applications, these applications must agree on a client-to-client protocol to work together. If they want to be able to use the same indexes, these must be standardized.
+This need for a standard indexing vocabulary appeared in the context of the Solid protocol where several + applications interact in the same way with the same data to achieve interoperability. Indeed, as the data is + decoupled from the applications, these applications must agree on a client-to-client protocol to work together. If + they want to be able to use the same indexes, these must be standardized.
This section provides details for each class and property defined by this ontology and uses the following superscripts:
- -IRI: https://ns.inria.fr/idx/terms#Index
-IRI: https://ns.inria.fr/idx/terms#IndexEntry
-An entry in the index that characterizes a source.
- -IRI: https://ns.inria.fr/idx/terms#hasCount
-has characteristics: functional
-IRI: https://ns.inria.fr/idx/terms#hasShape
-specifies a SHACL shape capturing the pattern followed by an indexed source.
- -has characteristics: functional
-IRI: https://ns.inria.fr/idx/terms#hasSubIndex
-Any sub index that should be queried to find results about the shape.
- -has characteristics: functional
-IRI: https://ns.inria.fr/idx/terms#hasTarget
-The indexed document.
- -has characteristics: functional
-IRI: https://ns.inria.fr/idx/terms#hasCount
-has characteristics: functional
-An index is a RDF document [[RDF11-CONCEPTS]] of type idx:Index. It contains entries of type
+ idf:IndexEntry, each one
+ being linked to a shape with the idx:hasShape predicate.
An entry MUST refer to a resource matching the shape or to another index referring to such resources, with
+ predicate idx:hasTarget or idx:hasSubIndex respectively.
A shape is...
This document proposes the Indexing ontology as vocabulary for describing indexes. +
This document proposes the Indexing ontology as vocabulary for describing + indexes. This ontology is using [[SHACL]] shapes to express what is indexed.
An index is a RDF document [[RDF11-CONCEPTS]] of type idx:Index. It contains entries of type idf:IndexEntry, each one
- being linked to a shape with the idx:hasShape predicate.
An entry MUST refer to a resource matching the shape or to another index referring to such resources, with predicate idx:hasTarget or idx:hasSubIndex respectively.
An instance is...
- -A sub index is...
- -A shape is...
+ +For instance an index of people living in Paris could be expressed like in the example.
@@ -409,7 +214,8 @@Source selection is a technique that consists in selecting from a set of indexes those that are judged relevant. +
Source selection is a technique that consists in selecting from a set of indexes those that are judged + relevant. This way it's possible to get results faster. This technique relies on one or several heuristics. One example of heuristic is the number of item that can be found in an index. Setting a minimun number of results might @@ -432,7 +238,8 @@
Source ordering consists in querying the most relevant indexes first. This technique uses one or several
criterias to order the indexes. One example of a criteria is the number of results contained in an index.
- In the subindex of :entry2 will be queried before that of :entry1
+ In the subindex of :entry2 will be queried before that
+ of :entry1
as it presents more results (the value of the idx:hasCount is higher).
A RDF document representing an index.
- -