Ata using Natural Languages. LODQA is an open source project. As the popularity of linked open data (LOD) grows, more and more heterogeneous data sets are being integrated, which calls for potential users to use a complex query language, e.g., SPARQL, for search on the data sets. However, as SPARQL is not easy to write even for experienced users, many groups are developing assistive methods, e.g., visual SPARQL editor.
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Intro | lodqa.org Reviews
https://lodqa.org
Ata using Natural Languages. LODQA is an open source project. As the popularity of linked open data (LOD) grows, more and more heterogeneous data sets are being integrated, which calls for potential users to use a complex query language, e.g., SPARQL, for search on the data sets. However, as SPARQL is not easy to write even for experienced users, many groups are developing assistive methods, e.g., visual SPARQL editor.
lodqa.org
References
http://www.lodqa.org/docs/references
Ata using Natural Languages. LODQA is an open source project. Triple Pattern Variation Operations for Flexible Graph Search, Jin-Dong Kim and Kevin Bretonnel Cohen, The 1’st Internatinal Workshop on Natural language interfaces for Web of Data (NLIWoD). Evaluation of SPARQL query generation from natural language questions, K. Bretonnel Cohen and Jin-Dong Kim, Natural language processing and linked open data, pp. 3-7, 2013.
People
http://www.lodqa.org/docs/people
Ata using Natural Languages. LODQA is an open source project. The LODQA project is currently led by DBCLS (Database Center for Life Science), with participation of University of Colorado, Stanford University, and Bayer CropScience. The output of the project is freely available and contribution is open to any interested party. Shigeru Nakajima ( Luxiar. Evaluation, Linguistic aspects. Evaluation, LOD provider. Evaluation, LOD provider.
TermFinder
http://www.lodqa.org/docs/termfinder
Ata using Natural Languages. LODQA is an open source project. TermFinder is the second module of the LODQA system. Module has produced a PGP from a given NL query, the TermFinder module is responsible for finding the URIs and values of the nodes in the PGP, as illustrated below:. At the dataset, and we call the PGP an anchored PGP (APGP).
Architecture
http://www.lodqa.org/docs/architecture
Ata using Natural Languages. LODQA is an open source project. The LODQA system has a modular architecture as illustrated below:. The system takes a natural language (NL) query as its input, and finally produces corresponding SPARQL queries, together with the answers to them from (a) certain SPARQL endpoint(s). The system consists of three modules: Graphicator.
GraphFinder
http://www.lodqa.org/docs/graphfinder
Ata using Natural Languages. LODQA is an open source project. GraphFinder is the third module of the LODQA system. For an APGP produced through the Graphicator. Modules, the GraphFinder module is responsible for searching the target dataset for corresponding parts, considering possible variations which may occur in the dataset. The SPARQL queries are then submitted to the target endpoint and the answers are collected to provide the user with.
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Resources - okbqa2
http://2.okbqa.org/hackathon2015/resources
This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - annotate text using bioportal ontologies using exact or substring matches (Michel Dumontier). Search the repository of 6M terms in 375 ontologies (Michel Dumontier). KBs and Linked Open Data Projects.
Mentors - OKBQA-4
http://4.okbqa.org/organization/program/hackathon/mentors
OKBQA Workshop at COLING 2016. Database Center for Life Science.
Invited Speakers - OKBQA-4
http://4.okbqa.org/organization/program/symposium/invitedspeakers
OKBQA Workshop at COLING 2016. Database Center for Life Science.
Resources - OKBQA-4
http://4.okbqa.org/development/resources
OKBQA Workshop at COLING 2016. This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - Annotates text using bioportal ontologies using exact or substring matches. (Michel Dumontier). Searches the repository of 6M terms in 375 ontologies. (Michel Dumontier).
OKBQA Repository
http://repository.okbqa.org/components/1
It is a wrapper to call the GraphFinder: sparqlator method, using the OKBQA framework API. It takes a template. Structures which are produced by a template generation and a disambiguation modules, respectively, and produces a set of SPARQL queries which are supposed to represent the same query need represented by the template and disambiguation. Optionally, the parameter, max hop. GraphFinder implements the triple variation operations proposed by [1]. Is remained as a future work. Disambiguation: [ { ent...
Resources - OKBQA (Open Knowledge Base and Question Answering) 2014
http://1.okbqa.org/hackathon2014/resources
This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - annotate text using bioportal ontologies using exact or substring matches (Michel Dumontier). Search the repository of 6M terms in 375 ontologies (Michel Dumontier). KBs and Linked Open Data Projects.
Resources - OKBQA3
http://2015.okbqa.org/development/resources
This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - Annotates text using bioportal ontologies using exact or substring matches. (Michel Dumontier). Searches the repository of 6M terms in 375 ontologies. (Michel Dumontier). KBs and Linked Open Data Projects.
Lecturers - OKBQA-4
http://4.okbqa.org/organization/program/tutorial/lecturers
OKBQA Workshop at COLING 2016. Busan University of Foreign Studies. Database Center for Life Science.
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Intro
Ata using Natural Languages. LODQA is an open source project. As the popularity of linked open data (LOD) grows, more and more heterogeneous data sets are being integrated, which calls for potential users to use a complex query language, e.g., SPARQL, for search on the data sets. However, as SPARQL is not easy to write even for experienced users, many groups are developing assistive methods, e.g., visual SPARQL editor.
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