CLARIN-NL - semantic registry & mapping

Nederlab

Erica Renckens — Mon, 10 Aug 2015 08:07:39 +0000

Nederlab, online laboratory for humanities research on Dutch text collections

Summary

A user-friendly and tool-enriched open access web interface that that aims at containing all digitized texts relevant for the Dutch national heritage and the history of Dutch language and culture (c. 800 - present).

Background

The Nederlab project aims to bring together all digitized texts relevant to Dutch national heritage, the history of Dutch language and culture (c. 800 - present) in one user-friendly and tool-enriched open access web interface, allowing scholars to simultaneously search and analyze data from texts spanning the full recorded history of the Netherlands, its language and culture. The project builds on various initiatives: for corpora Nederlab collaborates with the scientific libraries and institutions, for infrastructure with CLARIN (and CLARIAH), for tools with eHumanities programmes such as Catch, IMPACT and CLARIN (TICCL, frog).
Nederlab will offer a large number of search options with which researchers can find the occurrence of a particular term in a particular corpus or subcorpus. It'll also offer visualization of search results through line graphs, bar graphs, circle graphs, or scatter graphs. Furthermore, this online lab will offer a large set of tools, like tokenization tools, tools for spelling normalization, PoS-tagging tools, lemmatization tools, a computational historical lexicon and indices. Also, the use of (semi-) automatic syntactic parsing, tools for text mining, data mining and sentiment mining, Named Entity Recognition tools, coreference resolution tools, plagiarism detection tools, paraphrase detection tools and cartographical tools is offered
The first version of Nederlab was launched in early 2015, it’ll be expanded until the end of 2017. Nederlab is financed by NWO, KNAW, CLARIAH and CLARIN-NL.

Contacts

Project leader:  prof. dr. Hans Bennis, Meertens Institute
CLARIN center: Meertens Institute
Help contact: hennie.brugman@meertens.knaw.nl

Links

Web-sites: http://www.nederlab.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: http://www.nederlab.nl/onderzoeksportaal/?action=help
Tool/Service link: http://www.nederlab.nl/onderzoeksportaal/
Publications: http://www.nederlab.nl/wp/?page_id=12

Research domain

Cultural Sciences

History

Linguistics

Language

Dutch

Resource tags

data

corpus

text corpus

service

web-application

mono-lingual

Tool task

semantic registry & mapping

analysis

evaluation

annotation

corpus exploration

browse

visualisation

text processing

POS tagging

multiword unit identification

lemmatisation

parsing

co-reference assignment

tokenization

CLARIN centre

Meertens/HuC

Country

Netherlands

CMD2RDF

root — Wed, 10 Jun 2015 09:00:56 +0000

CMDI2RDF - CMDI to RDF conversion

Summary

There is growing amount of on-line information available in RDF format as Linked Open Data (LOD) and a strong community very actively promotes its use. The publication of information as LOD is also considered an important signal that the publisher is actively searching for information sharing with a world full of new potential users. Added advantages of LOD, when well used, are the explicit semantics and high interoperability. But the problematic modelling by non-expert users offsets these advantages, which is a reason why modelling systems as CMDI are used. The CMDI2RDF project aims to bring the LOD advantages to the CMDI world and make the huge store of CMDI information available to new groups of users and at the same time offer CLARIN a powerful tool to experiment with new metadata discovery possibilities.

Background

The CMD2RDFservice was created to allow connection with the growing LOD world, and facilitate experiments within CLARIN merging CMDI with other, RDF based, information sources.
One of the promises of LOD is the ease to link data sets together and answer queries based on this ‘cloud’ of LOD datasets. Thus in the enrichment and use cases part of the project we looked at other datasets to link to the CLARIN joint metadata domain. We used the WALS N3 RDF dump for one of the use cases. Although it is in the end relatively easy to go from a specific typological feature to the CMD records via a shared URI, it still showcased a weakness of the Linked Data approach. One has to carefully inspect the property paths involved. And in this case the path was broken as there was no clear way to go from the WALS feature data to the WALS language info except for extracting the WALS language code from the feature URI pattern and insert it the language URI pattern. This showcases that although the big LOD cloud shows potential for knowledge discovery by crossing dataset boundaries, design decisions in the individual datasets can still hamper algorithms and manual inspection is needed.
The CMD2RDF service was developed at the TLA/MPI for Psycholinguistics and DANS and later moved to Meertens Institute where the expertise is available. The CMDI2RDF service has been further professionalised and extended by the Dutch CLARIAH project.

Contacts

Project leader: Menzo Windhouwer
CLARIN center: Meertens Institute
Help contact : Menzo Winhouwer menzo.windhouwer@meertens.knaw.nl

Links

Web-sites: http://cmdi2rdf.meertens.knaw.nl/cmd2rdf/ https://trac.clarin.eu/wiki/CMD2RDF/sysarch
User scenario's (screencasts, screenshots): n.a.
Manual: https://catalog.clarin.eu/ds/cmd2rdf/api
Tool/Service link: http://cmdi2rdf.meertens.knaw.nl/cmd2rdf/
Publications: M. Durco, M. Windhouwer. From CLARIN Component Metadata to Linked Open Data. In Proceedings of the third Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing (LDL 2014). At LREC 2014, Reykjavik, Iceland, May 27, 2014.

Country

Netherlands

CLAVAS

Jan Odijk — Fri, 06 Mar 2015 16:45:22 +0000

CLARIN Vocabulary Service

Summary

The CLARIN Vocabulary Service is a running instance of the OpenSKOS exchange and publication platform for SKOS vocabularies. This OpenSKOS instance currently publishes SKOS versions of three vocabularies:

ISO-639-3 language codes, as published by SIL.
Closed and simple Data Categories from the ISOcat metadata profile.
A manually constructed and curated list of Organizations, based on the CLARIN VLO.

Background

The CLARIN Vocabulary Service is a running instance of the OpenSKOS exchange and publication platform for SKOS vocabularies. OpenSKOS offers several ways to publish SKOS vocabularies (upload SKOS file, harvest from another OpenSKOS instance with OAI-PMH, construct using the RESTful API) and to use vocabularies (search and autocomplete using the API, harvest using OAI-PMH, inspect in the interactive Editor or consult as Linked Data). This CLARIN OpenSKOS instance is hosted by the Meertens Institute. Contents This OpenSKOS instance currently publishes SKOS versions of three vocabularies:

ISO-639-3 language codes, as published by SIL.
Closed and simple Data Categories from the ISOcat metadata profile.
A manually constructed and curated list of Organizations, based on the CLARIN VLO.

Contacts

Project leader: Hennie Brugman
CLARIN center: Meertens Institute
Help contact : helpdesk@clarin.nl

Links

Web-sites: https://openskos.meertens.knaw.nl/clavas/
User scenario's (screencasts, screenshots): n.a.
Manual: http://openskos.meertens.knaw.nl/web-report/documentation/clavas-overvie...
Tool/Service link: https://openskos.meertens.knaw.nl/clavas/
Publications:

Language

Language independent

Resource tags

service

web-application

web-service

Tool task

semantic registry & mapping

CLARIN centre

Meertens/HuC

Country

Netherlands

CCR

Erica Renckens — Fri, 30 Jan 2015 15:25:21 +0000

CCR – CLARIN Concept Registry

Summary

The CCR is a concept registry according to the W3C SKOS recommendation. It was chosen by CLARIN to serve as a semantic registry to overcome semantic interoperability issues with CMDI metadata and different annotation tag sets used for linguistic annotation. The CCR is part of the CMDI metadata infrastructure.

Background

The W3C SKOS recommendation, and the OpenSKOS implementation thereof, provides the means for ‘data-sharing, bridging several different fields of knowledge, technology and practice’. According to this model, each concept is assigned a unique administrative identifier, together with information on the status or decision-making process associated with the concept. In addition, concept specifications in the CCR contain linguistic descriptions, such as definitions and examples, and can be associated with a variety of labels.

Contacts

Project leader:  Menzo Windhouwer
CLARIN center: Meertens Institute
Help contact : ccr@clarin.eu

Links

Web-sites: http://www.clarin.eu/ccr/, http://openskos.meertens.knaw.nl/ccr/browser/
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Tool/Service link: http://openskos.meertens.knaw.nl/ccr/api/
Publications: n.a.

Language

Language independent

Resource tags

service

web-application

web-service

Tool task

semantic registry & mapping

CLARIN centre

Meertens/HuC

Country

Netherlands

DSS

Erica Renckens — Wed, 21 Jan 2015 14:51:19 +0000

DSS: Dutch Ships and Sailors

Summary

A tool chain and methodology for converting legacy datasets in the area of maritime history. Set up to facilitate over 25 data sets, the initial population consists of 4 selected maritime-historical datasets.

Background

The maritime industry has been central to regional and global economic, social and cultural exchange. It is also one of the best historically documented sectors of human activity. Many aspects of it have been recorded by shipping companies, governments, newspapers and other institutions. In the past few decades, much of the data in the preserved historical source material has been digitized. Among the most interesting data are those on shipping movement and crew members. The Dutch Republic in the 17th and 18th centuries had to rely to a large extent on immigration to man its fleet. Especially in Asian waters, it also relied on Asian crews.

Often information that deals with the same shipping movements and crew composition is spread over several historical sources and hence over several databases. The data often refers to the same ‘places’, ‘ships’, ‘persons’ and ‘events’. By linking the different available databases, the data complements and amplifies each other, and new research possibilities open up. Ideally, we would want to follow a ship from port to port, and crew members pursuing their careers from ship to ship.

The Dutch Ships and Sailors project provides a tool chain and methodology for converting legacy datasets. The infrastructure includes common vocabularies to normalize and enrich existing data. Links are established between the datasets and to other relevant datasets. In doing so, Dutch Ships and Sailors builds a (semantic) web-based structure that aims to function as a future platform and infrastructure for maritime historical datasets. Initially, this portal contains the following datasets:

Historische Kranten of the Koninklijke Bibliotheek;
The Monsterrollen databases contains elaborate data on the crew composition of ships from the Northern Netherlands (c. 1800-1930) and provides information on the sailors involved, such as the places of origin, wage and age;
The databases VOC Opvarenden, providing extensive data on crews of VOC ships leaving the Republic;
The database Dutch-Asiatic Shipping, providing data on all inter-continental voyages of VOC ships;
The database Generale Zeemonsterrollen, providing data on the crew composition and sometimes location of VOC ships stationed in Asia and not engaged in inter-continental shipping.

Contacts

Project leader: Prof. dr. Lex Heerma van Voss (VU University)  
CLARIN center: Huygens ING
Help contact : v.de.boer@vu.nl (coordinator)

Links

Web-sites: http://dutchshipsandsailors.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Tool/Service link: http://dutchshipsandsailors.nl/?page_id=50
Publications:
- Victor de Boer, Jur Leinenga, Matthias van Rossum and Rik Hoekstra. Dutch Ships and Sailors Linked Data Cloud. Accepted for publication in Proceedings of the International Semantic Web Conference (ISWC 2014), 19-23 October, Riva del Garda, Italy, 2014.
- A. Bravo Balado. Information extraction on newspaper archives for historical research. a dutch maritime history case study. M.Sc. thesis VU University Amsterdam (forthcoming), 2014.
- Andrea Bravo Balado, Victor de Boer, and Guus Schreiber. Linking historical ship records to a newspaper archive. Proceedings of the 6th International Conference on Social Informatics (workshops). LNCS. ed. Luca Maria Aiello, Daniel McFarland, 2014.
- R. Ponstein. Reconciling dutch ships and sailors. M.Sc. thesis VU University Amsterdam (forthcoming), 2014.

Research domain

History

Language

Dutch

Resource tags

data

corpus

multi-media/muliti-modal

service

web-application

mono-lingual

Tool task

semantic registry & mapping

CLARIN centre

Huygens ING

Country

Netherlands

ISOcat

root — Sun, 11 May 2014 12:18:51 +0000

ISOcat

Summary

This service is no longer operational! The ISO TC37 Data Category Registry (DCR) was created in 2008 as one of the first ISO standards delivered in the form of a database (ISOcat). The Max Planck Institute for Psycholinguistics (MPI) has provided development, hosting, and support services and acted as the Registration Authority (RA) until December 2014. For users from the European CLARIN research infrastructure, the Meertens Institute develops and hosts a new registry for CLARIN relevant concepts based on the corresponding ISOcat data categories, such as those used for the Component MetaData Infrastructure (CMDI). This can be found here: http://portal.clarin.nl/node/4216.

Background

ISO 12620 provides a framework for defining data categories compliant with the ISO/IEC 11179 family of standards. According to this model, each data category is assigned a unique administrative identifier, together with information on the status or decision-making process associated with the data category. In addition, data category specifications in the DCR contain linguistic descriptions, such as data category definitions, statements of associated value domains, and examples. Data category specifications can be associated with a variety of data element names and with language-specific versions of definitions, names, value domains and other attributes. For now the entries of the Data Category Registry are still available in a static manner, i.e., can't be changed anymore. All Data Category Peristent IDentifiers, e.g., http://www.isocat.org/datcat/DC-4146, remain resolvable. The public part of the registry can be browsed via the Guest workspace: http://www.isocat.org/rest/user/guest/workspace

Contacts

Project leader: Menzo Windhouwer  
CLARIN center: MPI for Psycholinguistics
Help contact : isocat@mpi.nl

Links

Web-sites: http://www.isocat.org/
Tool/Service link: n.a.
Publications: n.a.

Language

Language independent

Resource tags

service

web-application

web-service

Tool task

semantic registry & mapping

CLARIN centre

MPI for Psycholinguistics

Country

Netherlands