Linking to Linguistic Data Categories in ISOcat

Windhouwer, Menzo; Wright, Sue Ellen

doi:10.1007/978-3-642-28249-2_10

Cited by 29 publications

(11 citation statements)

References 1 publication

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“…The technologies developed in the Semantic Web during the last decade have produced formalisms and methods that push the envelop further in terms of expressivity and features, while still trying to have implementations that scale on large data. Some of the major current projects in the NLP area seem to follow the same approach such as the graph-based formalism GrAF developed in the ISO TC37/SC4 group [19] and the ISOcat data registry [33], which can benefit directly by the widely available tool support, once converted to RDF. Note that it is the declared goal of GrAF to be a pivot format for supporting conversion between other formats and not designed to be used directly and the ISOcat project already provides a Linked Data interface.…”

Section: Discussion and Outlookmentioning

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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Section: Discussion and Outlookmentioning

confidence: 99%

TowardsWeb-Scale Collaborative Knowledge Extraction

Hellmann

Auer

2013

The People’s Web Meets NLP

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“…A balanced gender divide within a group also produces a higher c as females demonstrate higher social sensitivity towards group diversity and divergent discussion [78]. A balanced gender divide within a group also produces a higher c as females demonstrate higher social sensitivity towards group diversity and divergent discussion [78].…”

Section: Gender Of Participantsmentioning

confidence: 99%

“…Unlike GOLD, which formalizes linguistic terms in a single taxonomy, ISOcat is semi-structured in that it provides limited possibilities to express relations between linguistic concepts, which are, moreover, optional. Technically, ISOcat data is available in a special-purpose XML format, but an RDF representation has been developed, as well, that can be used as a point of reference for Linked Data [78]. Accordingly, ISOcat currently features different sub-profiles with partially redundant information.…”

Section: Linguistic Terminologymentioning

confidence: 99%

The People’s Web Meets NLP

Gurevych¹,

Calzolari²,

Kim³

2013

Theory and Applications of Natural Language Processing

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Series Editors: Graeme Hirst (Textbooks) Eduard Hovy (Edited volumes) Mark Johnson (Monographs) Aims and ScopeThe field of Natural Language Processing (NLP) has expanded explosively over the past decade: growing bodies of available data, novel fields of applications, emerging areas and new connections to neighboring fields have all led to increasing output and to diversification of research."Theory and Applications of Natural Language Processing" is a series of volumes dedicated to selected topics in NLP and Language Technology. It focuses on the most recent advances in all areas of the computational modeling and processing of speech and text across languages and domains. Due to the rapid pace of development, the diversity of approaches and application scenarios are scattered in an ever-growing mass of conference proceedings, making entry into the field difficult for both students and potential users. Volumes in the series facilitate this first step and can be used as a teaching aid, advanced-level information resource or a point of reference.The series encourages the submission of research monographs, contributed volumes and surveys, lecture notes and textbooks covering research frontiers on all relevant topics, offering a platform for the rapid publication of cutting-edge research as well as for comprehensive monographs that cover the full range of research on specific problem areas.The topics include applications of NLP techniques to gain insights into the use and functioning of language, as well as the use of language technology in applications that enable communication, knowledge management and discovery such as natural language generation, information retrieval, question-answering, machine translation, localization and related fields.The books are available in printed and electronic (e-book) form: * Downloadable on your PC, e-reader or iPad * Enhanced by Electronic Supplementary Material, such as algorithms, demonstrations, software, images and videos * Available online within an extensive network of academic and corporate R&D libraries worldwide * Never out of print thanks to innovative print-on-demand services * Competitively priced print editions for eBook customers thanks to MyCopy service

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“…Two representative repositories are the General Ontology of Linguistic Description (GOLD, [16]) and the ISO TC37/SC4 Data Category Registry (ISOcat, [41]). Adopting a linked data approach, however, it is possible to link these repositories with each other, i.e., either to link from one resource to the other, or to create mediator ontologies that provide a linking between these repositories.…”

Section: Conceptual Interoperabilitymentioning

confidence: 99%

Lexical Mediation for Ontology-Based Annotation of Multimedia

Cataldi

Damiano

Lombardo

et al. 2012

New Trends of Research in Ontologies and Lexical Resources

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'Open Data' has become very important in a wide range of fields. However for linguistics, much data is still published in proprietary, closed formats and is not made available on the web. We propose the use of linked data principles to enable language resources to be published and interlinked openly on the web, and we describe the application of this paradigm to the modeling of two resources, WordNet and the MASC corpus. Here, WordNet and the MASC corpus serve as representative examples for two major classes of linguistic resources, lexicalsemantic resources and annotated corpora, respectively.Furthermore, we argue that modeling and publishing language resources as linked data offers crucial advantages as compared to existing formalisms. In particular, it is explained how this can enhance the interoperability and the integration of linguistic resources. Further benefits of this approach include unambiguous identifiability of elements of linguistic description, the creation of dynamic, but unambiguous links between different resources, the possibility to query across distributed resources, and the availability of a mature technological infrastructure. Finally, recent community activities are described.C. Chiarcos ( )

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Linking to Linguistic Data Categories in ISOcat

Cited by 29 publications

References 1 publication

TowardsWeb-Scale Collaborative Knowledge Extraction

TowardsWeb-Scale Collaborative Knowledge Extraction

The People’s Web Meets NLP

Lexical Mediation for Ontology-Based Annotation of Multimedia

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