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A Multi-strategy Approach for Lexicalizing Linked Open Data [chapter]

Rivindu Perera, Parma Nand
2015 Lecture Notes in Computer Science  
This paper aims at exploiting Linked Data for generating natural text, often referred to as lexicalization.  ...  We propose a framework that can generate patterns which can be used to lexicalize Linked Data triples.  ...  This will allow us to introduce a generalizable lexicalization pattern generation framework for evolving Linked Data cloud.  ... 
doi:10.1007/978-3-319-18117-2_26 fatcat:sla3dre3sfhg3jm7e4jgp4cxjy

RealText-lex: A Lexicalization Framework for RDF Triples

Rivindu Perera, Parma Nand, Gisela Klette
2016 Prague Bulletin of Mathematical Linguistics  
The framework comprises of four pattern mining modules which generate lexicalization patterns to transform triples to natural language sentences.  ...  This paper presents a framework to lexicalize RDF triples extracted from DBpedia, a central interlinking hub for the emerging Web of Data.  ...  This framework utilizes the DBpedia as the Linked Open Data resource to generate lexicalization patterns to transform triples into natural language sentences.  ... 
doi:10.1515/pralin-2016-0011 fatcat:vw2qmrjt6zgazfaia6zopvozpe

Language Resources and Linked Data: A Practical Perspective [chapter]

Jorge Gracia, Daniel Vila-Suero, John P. McCrae, Tiziano Flati, Ciro Baron, Milan Dojchinovski
2015 Lecture Notes in Computer Science  
The adoption of the LD principles is leading to an emerging ecosystem of multilingual open resources that conform to the Linguistic Linked Open Data Cloud, in which datasets of linguistic data are interconnected  ...  Recently, experts and practitioners in language resources have started recognizing the benefits of the linked data (LD) paradigm for the representation and exploitation of linguistic data on the Web.  ...  Methodology for Multilingual Linguistic Linked Data Generation The previous section presented a way of representing lexical data in RDF.  ... 
doi:10.1007/978-3-319-17966-7_1 fatcat:qnmpisvmrbahtgocaugun5dr7i

Gathering lexical linked data and knowledge patterns from FrameNet

Andrea Giovanni Nuzzolese, Aldo Gangemi, Valentina Presutti
2011 Proceedings of the sixth international conference on Knowledge capture - K-CAP '11  
In this paper we present our experience in converting the 1.5 XML version of FrameNet into RDF datasets published on the Linked Open Data cloud, which are interoperable with WordNet and other resources  ...  FrameNet is an important lexical knowledge base featuring cognitive plausibility, and grounded in a large corpus.  ...  The Linked Open Data (LOD) project is bootstrapping the Web of Data by converting into RDF and publishing existing datasets available under open licenses.  ... 
doi:10.1145/1999676.1999685 dblp:conf/kcap/NuzzoleseGP11 fatcat:jnvynrjwfjer5nf62leeywslq4

Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language

Sebastian Krause, Leonhard Hennig, Aleksandra Gabryszak, Feiyu Xu, Hans Uszkoreit
2015 Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications  
We link sar-graphs at the lexical level to BabelNet, WordNet and UBY, and present our ongoing work on pattern-and relationlevel linking to FrameNet.  ...  We present sar-graphs, a knowledge resource that links semantic relations from factual knowledge graphs to the linguistic patterns with which a language can express instances of these relations.  ...  We would also like to thank Min Fang and Hong Li for their help with the implementation.  ... 
doi:10.18653/v1/w15-4204 dblp:conf/acl-ldl/KrauseHGXU15 fatcat:icxkbg5ibreuflooiui7prgwqi

D3.1 Research Challenge Report v1

Christian Chiarcos, Philipp Cimiano, Chrisitan Fäth, Thierry Declerck, Basil Ell, Jorge Gracia, John P. McCrae, Maria Pia di Buono, Mariano Rico, Housam Ziad, Paul Buitelaar
2020 Zenodo  
Research Challenge Report v1 for Prêt-à-LLOD project  ...  A property lexicalization pattern can be applied, for example, in the context of natural language generation from RDF data to natural language text.  ...  lexical data for language services.  ... 
doi:10.5281/zenodo.5744041 fatcat:uxjwxo2sxrftxg24jv7iwksmpi

Conversion of the English-Xhosa Dictionary for Nurses to a Linguistic Linked Data Framework

Frances Gillis-Webber
2018 Information  
: (1) which describes data in RDF, (2) using a model designed for the representation of linguistic information, (3) which adheres to Linked Data principles, and (4) which supports versioning, allowing  ...  The methodological guidelines for the construction of a Linguistic Linked Data framework (LLDF) for a lexicographic resource, as applied to EXDN, are described, where an LLDF can be defined as a framework  ...  Acknowledgments: I would like to thank my supervisor, Richard Higgs, for his commitment and support in seeing this research to its conclusion.  ... 
doi:10.3390/info9110274 fatcat:y5ya6cugjzgblhadkbysg47way

Identifying Data Sharing in Biomedical Literature

Heather Piwowar, Wendy Chapman
2008 Nature Precedings  
Using regular expression patterns and machine learning algorithms on open access biomedical literature, our system was able to identify 61% of articles with shared datasets with 80% precision.  ...  Many policies and projects now encourage investigators to share their raw research data with other scientists.  ...  Patterns included the single word "accession", a regular expression for an accession number (specific for each database), a regular expression for a website URL, a set of lexical patterns for clauses and  ... 
doi:10.1038/npre.2008.1721.2 fatcat:3qhcvwk54rdffpngpif2qpj2iy

Identifying Data Sharing in Biomedical Literature

Heather Piwowar, Wendy Chapman
2008 Nature Precedings  
Using regular expression patterns and machine learning algorithms on open access biomedical literature, our system was able to identify 61% of articles with shared datasets with 80% precision.  ...  Many policies and projects now encourage investigators to share their raw research data with other scientists.  ...  Patterns included the single word "accession", a regular expression for an accession number (specific for each database), a regular expression for a website URL, a set of lexical patterns for clauses and  ... 
doi:10.1038/npre.2008.1721.1 fatcat:4gdsy4bb6zg4fexfcvjaoabvb4

Interlinking Slovene Language Datasets

Lenka Bajčetić, Thierry Declerck
2020 Zenodo  
A final goal of the presented work is to publish the linked and merged Slovene linguistic datasets in the Linguistic Linked Open Data cloud.  ...  The types of resources we currently deal with are a lexical database (which also contains collocations and example sentences), a morphological lexicon, and the Slovene WordNet.  ...  The next steps will consist of representing the collocation information included in the cross-lingual MWELex resource and correctly linking it to elements of the current OntoLex-Lemon integrated data set  ... 
doi:10.5281/zenodo.4459107 fatcat:bunl6w5ubfdbpney6r523rz6bi

Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud [chapter]

Sebastian Hellmann, Jonas Brekle, Sören Auer
2013 Lecture Notes in Computer Science  
The data currently includes language, part of speech, senses, definitions, synonyms, translations and taxonomies (hyponyms, hyperonyms, synonyms, antonyms) for each lexical word.  ...  By offering a linked data service, we hope to extend DBpedia's central role in the LOD infrastructure to the world of Open Linguistics. 1 http://s23.org/wikistats/wiktionaries_html.php 2 See http://en.wiktionary.org  ...  Acknowledgements This work was supported by a grant from the European Union's 7th Framework Programme provided for the project LOD2 (GA no. 257943). 31 http://mappings.dbpedia.org/ 32 http://linguistics.okfn.org  ... 
doi:10.1007/978-3-642-37996-3_13 fatcat:whm5qratnzh2poiuxlqgo4jarq

Recent Developments for the Linguistic Linked Open Data Infrastructure

Thierry Declerck, John Philip McCrae, Christian Chiarcos, Philipp Cimiano, Jorge Gracia, Matthias Hartung, Deirdre Lee, Elena Montiel-Ponsoda, Artem Revenko, Roser Saurí
2020 Zenodo  
of the Linguistic Linked Open Data (LLOD) infrastructure.  ...  In this paper we describe the contributions made by the European H2020 project "Prêt-à-LLOD" ('Ready-to-use Multilingual Linked ' Language Data for Knowledge Services across Sectors') to the further development  ...  So far, we are following an unsupervised approach for finding lexicalization patterns via Frequent Subgraph Mining.  ... 
doi:10.5281/zenodo.3842654 fatcat:sjjb5py53bdlfmtw7g5lufshay

Identifying data sharing in biomedical literature

Heather A Piwowar, Wendy W Chapman, Wendy Chapman
2008 AMIA Annual Symposium Proceedings  
Using regular expression patterns and machine learning algorithms on open access biomedical literature, our system was able to identify 61% of articles with shared datasets with 80% precision.  ...  Many policies and projects now encourage investigators to share their raw research data with other scientists.  ...  In general, the lexical patterns did not achieve high precision.  ... 
pmid:18998887 pmcid:PMC2655927 fatcat:mlxar2a3c5hw7bddb5wl3536ly

Recent Developments for the Linguistic Linked Open Data Infrastructure

Thierry Declerck, John McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel, Philipp Cimiano, Artem Revenko, Roser Sauri, Deirdre Lee, Stefania Racioppa, Jamal Nasir (+8 others)
2020 Zenodo  
of the Linguistic Linked Open Data (LLOD) infrastructure.  ...  In this paper we describe the contributions made by the European H2020 project "Prêt-à-LLOD" ('Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors') to the further development  ...  So far, we are following an unsupervised approach for finding lexicalization patterns via Frequent Subgraph Mining.  ... 
doi:10.5281/zenodo.3736949 fatcat:ywwnco7lbjcbndzo33vpoqqjiu

Automatic Acquisition of Similarity between Entities by Using Web Search Engine

C. Aiswarya, R. Lakshmi, R. kotteswari
2012 International Journal of Smart Sensor and Adhoc Network.  
Web mining is the application of data mining technology to discover patterns from the web.  ...  We propose an automatic acquisition method to estimate semantic relation between two words by using pattern extraction algorithm and sequential clustering algorithm.  ...  Some search engines also mine data available in databases or open directories.  ... 
doi:10.47893/ijssan.2012.1080 fatcat:5umni3huhrcbfie32jddmxp4cq
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