RDF(S)/XML linguistic annotation of semantic web pages

de, Guadalupe Aguado; Álvarez-de-Mon, Inmaculada; Pareja-Lora, Antonio; Plaza-Arteche, Rosario

doi:10.3115/1118808.1118809

Cited by 6 publications

(3 citation statements)

References 10 publications

(7 reference statements)

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“…Even though much research has been carried out by ontologists in the Semantic Web field on the semantic annotation of web pages [24], it is in the field of Corpus Linguistics where most standards, criteria and recommendations on annotation can be found. In [18], a list of the main different levels of linguistic annotation can be found, namely: lemma, morpho-syntactic, syntactic, semantic and discourse annotation.…”

Section: Linguistically-based Annotationsmentioning

confidence: 99%

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OntoTag's linguistic ontologies: improving semantic Web annotations for a better language understanding in machines

de¹,

Mon²,

Gómez-Pérez³

et al. 2004

International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.

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Section: Linguistically-based Annotationsmentioning

confidence: 99%

“…They are shown in Figure 1 (Annotation Level Pyramid), together with their corresponding tools (Linguistic Tool Stack) and applicable criteria, recommendations and guidelines (Linguistic Annotation Criteria Heap). A deep analysis of these concepts and their potential value for the Semantic Web can be found in [15,24].…”

Section: Linguistically-based Annotationsmentioning

confidence: 99%

OntoTag's linguistic ontologies: improving semantic Web annotations for a better language understanding in machines

de¹,

Mon²,

Gómez-Pérez³

et al. 2004

International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.

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“…Another SFW is ContentWeb, a platform for ontology integration with WebODE that allows the user to interact using natural language but limited to certain slang [13]. That environment interacts with OntoTag (implemented with RDF/S and XML) [14], OntoConsult (an interface for natural language based on ontology) and OntoAdvice (an information retrieval system based on an ontology). Each word receives an URI (Uniform Resource Identifier) as does every new morphosyntactic element.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Chatter Bot for Regulation Search

et al. 2016

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This communication presents a functional prototype, named PTAH, implementing a linguistic model focused on regulations in Spanish. Its global architecture, the reasoning model and short statistics are provided for the prototype. It is mainly a conversational robot linked to an Expert System by a module with many intelligent linguistic filters, implementing the reasoning model of an expert. It is focused on bylaws, regulations, jurisprudence and customized background representing entity mission, vision and profile. This Structure and model are generic enough to self-adapt to any regulatory environment, but as a first step, it was limited to an academic field. This way it is possible to limit the slang and data numbers. The foundations of the linguistic model are also outlined and the way the architecture implements the key features of the behavior.

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