CLARIN-NL - RDF

CMD2RDF data

root — Thu, 11 Jun 2015 10:13:08 +0000

CMDI2RDF - CMDI to RDF conversion

Summary

CMD2RDF offers all the CMDI data from the CLARIN domain as a SPARQL endpoint
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.

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 will professionalised and extended in 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: https://catalog.clarin.eu/ds/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: https://catalog.clarin.eu/ds/cmd2rdf/ Note: service in transition
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

CLARIN centre

Meertens/HuC

XML

RDF

DSS Data

root — Sun, 25 Jan 2015 18:01:57 +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
Data link: http://dutchshipsandsailors.nl/?page_id=11
- The Monsterrollen databases: http://www.noordelijkscheepvaartmuseum.nl/nl/collectie-en-onderzoek/onde... Data: 77.043 records (34.552 sailors; 4.935 ships) (expanded with further research as part of the Dutch Ships and Sailors-project)
- The databases VOC Opvarenden: http://vocopvarenden.nationaalarchief.nl/ Persistent Identifier: urn:nbn:nl:ui:13-pul9-xg (versie 6, januari 2012) Data: > 655.000 persons
- The database Dutch-Asiatic Shipping: http://www.historici.nl/Onderzoek/Projecten/DAS/ Persistent Identifier: urn:nbn:nl:ui:13-yng-6vb Data: 8.100 voyages
- The database Generale Zeemonsterrollen: (.xlsx) http://dutchshipsandsailors.nl/wp-content/uploads/2013/12/Database-Zeemo...
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.

Country

Netherlands

CLARIN centre

Huygens ING

Language

Dutch

Research domain

History

Resource tags

data

corpus

multi-media/muliti-modal

service

web-application

mono-lingual

Annotations

No Linguistic Annotation

Format

Textual data

XML

RDF

SHEBANQ Data

root — Sun, 25 Jan 2015 17:59:15 +0000

SHEBANQ: System for HEBrew Text: ANnotations for Queries and Markup

Summary

The WIVU Hebrew Text Database contains the Hebrew text of the Old Testament enriched with many linguistic features at the morpheme level up to the discourse level.

Background

The WIVU (Werkgroep Informatica Vrije Universiteit) Hebrew Text Database contains the Biblia Hebraica Stuttgartensia (BHS) version of the text of the Hebrew Bible. Portions of other Semitic languages are included as well: the Aramaic sections of the Old Testament, two Syriac versions, and annotated portions of the Syriac and Aramaic translations. All these texts have been enriched with features that primarily result from linguistic analysis. The database can be queried by means of a language that is optimized to deal with data that is modeled as objects + features. SHEBANQ builds a bridge between the linguistically annotated Hebrew Text corpus and biblical scholars by (1) making this text, including its annotations, available to scholars; (2) demonstrating how queries can function to address research questions; the query saver and the metadata added to them will be a growing repository of valuable best practices of what queries are used in addressing research questions and how they contribute to answering these questions; (3) giving textual scholarship a more empirical basis, by creating the opportunity that claims made in scholarly articles (e.g.: “this syntactic pattern is not attested elsewhere in the Hebrew Bible”) can be accompanied by the unique identifiers that refer to the saved queries that have led to the claim. The WIVU database is a resource under long-term development. New features are being added, new corrections are being made over time.

Contacts

Project leader:  Prof. Dr. W.T. (Wido) van Peursen (VU University)
CLARIN center: Data Archiving and Networked Services (DANS)
Help contact : dirk.roorda@dans.knaw.nl

Links

Web-sites: http://shebanq.ancient-data.org/
User scenario's (screencasts, screenshots): n.a.
Manual: http://shebanq.ancient-data.org/help
Tool/Service link: http://shebanq.ancient-data.org/
Data link (VLO): http://catalog.clarin.eu/vlo/record?q=SHEBANQ&docId=http_58__47__47_rest...
Data link (EASY): https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:58245 (Persistent Identifier: urn:nbn:nl:ui:13-048i-71)
Publications:
- Roorda, D. (2015). The Hebrew Bible as Data: Laboratory - Sharing - Experiences http://arxiv.org/abs/1501.01866
- Roorda, D. (2014). LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible, Computational Linguistics in the Netherlands Journal, Volume 4, December 2014, pp. 105-109 http://www.clinjournal.org/sites/default/files/08-Roorda-etal-CLIN2014.pdf and http://arxiv.org/abs/1410.0286

Country

Netherlands

CLARIN centre

DANS

Language

Aramaic

Hebrew

Syriac

English

Research domain

Religion Studies

Computational Linguistics

Linguistics

Syntax

historical linguistics

Resource tags

data

corpus

text corpus

service

web-application

mono-lingual

Annotations

Linguistic Annotation

Translational

Gloss

Orthographic

orthographic representation

transliteration

Morphological

lemma

stem

inflection class

derivational affix boundaries

Morphosyntactic

Part-of-speech

extended part of speech (inflection)

gender

Syntactic

constituent structure

constituent labels

dependencies

dependency labels (grammatical relations)

Format

Textual data

LAF

GrAF

XML

RDF

Cornetto Data

root — Sun, 25 Jan 2015 17:49:32 +0000

Cornetto: Combinatorial and Relational Network as Toolkit for Dutch Language Technology

Summary

The data used in the Cornetto lexical resource (92K lemma's and almost 120K word meanings) are not available anymore. The best alternative data set is the Open Dutch WordNet. This data set consists of 116.992 synsets, form which 95.356 from WordNet 3.0.

Background

Open Source Dutch WordNet is a Dutch lexical semantic database. It was created by removing the proprietary content from Cornetto (http://dev.clarin.nl/node/1944) , and by using open source resources to replace this proprietary content. Open Source Dutch WordNet contains 116,992 synsets, of which 95,356 originate from WordNet 3.0 and 21,636 synsets are new synsets. The number of English synsets without Dutch synonyms is 60,743, which means that 34,613 WordNet 3.0 synsets have been filled with at least one Dutch synonym.

This project has been co-funded by the Nederlandse Taalunie (http://taalunie.org/).The Nederlandse TaalUnie and the Free University of Amsterdam share the ownership of Open Source Dutch WordNet.

Contacts

Project leader: Prof. dr. Piek Vossen (VU University Amsterdam)  
CLARIN center: Institute for Dutch Lexicology
Help contact :

Links

Web-sites: http://wordpress.let.vupr.nl/odwn/
User scenario's (use-cases): http://wordpress.let.vupr.nl/odwn/demo/
Manual:
Tool/Service link: http://wordpress.let.vupr.nl/odwn/
Data link (VLO): http://catalog.clarin.eu/vlo/record?fq=collection:TST-Centrale&docId=htt...
Data link: (Open Dutch Wordnet) http://wordpress.let.vupr.nl/odwn/data/
Publications:
- Vossen, P., I. Maks, R. Seegers and H. van der Vliet (2008). Integrating Lexical Units, Synsets, and Ontology in the Cornetto Database. In Proceedings of LREC-2008, Marrakech, Morocco.
- Vossen, P., I. maks, R. Segers, H. van der Vliet, M.F. Moens, K. Hofmann, E. Tjong Kim Sang, M. de Rijke (2013), Corntto: a lexical semantic database for Dutch, Chapter in: P. Spyns & J. Odijk (eds): Essential Speech and Language Technology for Dutch, Results by the STEVIN-programme, Publ. Springer series Theory and Applications of Natural Language Processing, ISBN 978-3-642-30909-0.

Country

Netherlands

CLARIN centre

Dutch Language Institute

Language

Dutch

Research domain

Linguistics

Semantics

Resource tags

data

lexicon

service

web-application

mono-lingual

Annotations

Linguistic Annotation

Lexical

Orthographic

orthographic representation

Morphological

lemma

Morphosyntactic

Part-of-speech

gender

Syntactic

syntactic selection restrictions

multi-word expressions

Semantic

sense

sense ordering

semantic selection restrictions

lexico-semantic relations

other lexico-semantic relations

synonyms

antonyms

hyponyms/hyperonyms

Format

Textual data

XML

LMF

RDF

EMIT-X

Erica Renckens — Thu, 22 Jan 2015 11:26:54 +0000

EMIT-X: Early-Modern Image and Text eXchange

Summary

Data and metadata from the Emblem Project Utrecht (EPU) on an experimental OAI data provider, facilitating sharing and re-use. The EPU-project created a collection of 27 books of love emblems. The Emblem Project Utrecht is a partner in the 'Open Emblem' Initiative which coordinates the emblem metadata integration efforts being done in individual emblem digitisation projects.

Background

In the Netherlands, the Emblem Project Utrecht (EPU, supported by NWO/KNAW) created a collection of 27 books of love emblems, a Dutch invention that became very popular all over Europe during the Early-Modern period. Because of its wide geographical and linguistic dispersion, however, study of the emblem requires access not just to the books of a single national tradition (e.g. the Dutch), but also to the emblem books published in other European countries. As early as 2001 the first symposia were held about the possibilities of creating a single European portal for emblem studies. The Utrecht project has been actively participating in international efforts promoting digital emblem interoperability. For the international Society for Emblem Studies (SES, http://www.emblems.arts.gla.ac.uk/SES/) the subject of digital collections and collection exchange has been a recurrent topic. Among the joint research questions driving these efforts were the need to study emblems comparatively (over national cultures), to trace the transmission of textual and pictorial motifs, and to study the adaptation of foreign emblem books in local contexts. The Open Emblem Group established by the Society coordinates the efforts.

In EMIT-X two harvestable collections of data were created: the project’s metadata, which describe the emblem’s data structure, harvested for the CMDI, and the projects emblem data (texts of the emblems and associated indexing), harvested by emblem researchers at the OpenEmblem portal and elsewhere. Emblem researchers in the Netherlands and elsewhere are able to search across collections and boundaries. Because EMIT-X also makes available the relevant metadata descriptions in the CLARIN infrastructure, EMIT-X also paved the way for European partner-projects to make their data available in the CLARIN infrastructure. The participation in EMIT-X (at-a-distance) of the international advisory partners guaranteed that the choices made fit within the proposed international collaboration.

Contacts