Error parsing MDX:
[next-mdx-remote] error compiling MDX:
Expected a closing tag for `<is>` (16:746-16:761) before the end of `paragraph`
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15 | 1. It is a [conceptual data model](https://en.wikipedia.org/wiki/Conceptual_data_model "Conceptual data model") in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic [data model](https://en.wikipedia.org/wiki/Data_model "Data model") is an abstraction that defines how the stored [symbols](https://en.wikipedia.org/wiki/Symbol "Symbol") (the instance data) relate to the real world.<sup id="cite_ref-FIPS184_1-1"><a href="https://en.wikipedia.org/wiki/Semantic_data_model#cite_note-FIPS184-1">[1]</a></sup>
> 16 | 2. It is a [conceptual data model](https://en.wikipedia.org/wiki/Conceptual_data_model "Conceptual data model") that includes the capability to express and exchange information which enables parties to interpret meaning (semantics) from the instances, without the need to know the meta-model. Such semantic models are fact-oriented (as opposed to object-oriented). Facts are typically expressed by [binary relations](https://en.wikipedia.org/wiki/Binary_relations "Binary relations") between [data](https://en.wikipedia.org/wiki/Data "Data") elements, whereas higher order relations are expressed as collections of binary relations. Typically binary relations have the form of triples: Object-RelationType-Object. For example: the Eiffel Tower <is located in> Paris.
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18 | Typically the instance data of semantic data models explicitly include the kinds of relationships between the various data elements, such as <is located in>. To interpret the meaning of the facts from the instances, it is required that the meaning of the kinds of relations (relation types) be known. Therefore, semantic data models typically standardize such relation types. This means that the second kind of semantic data models enables that the instances express facts that include their own meanings. The second kind of semantic data models are usually meant to create semantic databases. The ability to include meaning in semantic databases facilitates building [distributed databases](https://en.wikipedia.org/wiki/Distributed_database "Distributed database") that enable applications to interpret the meaning from the content. This implies that semantic databases can be integrated when they use the same (standard) relation types. This also implies that in general they have a wider applicability than relational or [object-oriented databases](https://en.wikipedia.org/wiki/Object-oriented_database "Object-oriented database").
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