Semantic Search

Aims to advance a user's search experience and accuracy by understanding the searcher's intent and by relying on semantically represented data for retrieval.

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Text mining for linking wheat data with literature
Intended audience Industry and Business, Programmers, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

This tutorial includes three parts that describe how to use the Wheat Phenotypic Information Extractor and the two end-user applications, WheatIS and AlvisIR, that integrates its results for the use case developed by Inra during the OpenMinTeD project.The application extracts information related to wheat on phenotypes, genes, markers, species...

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Tutorial: Variable Detection and Linking in Social Sciences Publications
Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how Social Science researchers can take full advantage of the OpenMinTeD TDM platform for Detecting and Linking Variables in Scientific Publications.
 

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Integrative biology gene regulations of Arabidopsis thaliana literature in FLAGdb
Intended audience Industry and Business, Programmers, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

This tutorial explains how to use the “Arabidopsis Gene Regulation Extractor” application available from the OpenMinTeD platform. It also explains the scientific issues it addresses, and how results of the TDM process can be exploited by researchers through the FlagDB++ application. It is related to the AS-D “Information Extraction of Mechani...

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How to add semantic knowledge resources to the OMTD platform?
Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

The purpose of this tutorial is to explain how to add annotation resources to the OMTD platform. In this context, annotation resources mean ontologies or vocabularies selected in different ontology repositories like AgroPortal.
 

The Text and Data mining functionalities of the PoolParty Semantic Suite
By  Martin Kaltenböck (Semantic Web Company), Timea Turdean (Semantic Web Company)
Publication year: 2017  |  Text And Data Mining  |  Information Extraction  |  Named Entity Recognition  |  Semantic Search
Tutorial on Semantic Search
By  Peter Mika, Thanh Tran
Publication year: 2012  |  Semantic Search
Tutorial : Using Alvis Search Engine for semantic search about bacterial biotopes
By  Estelle Chaix
Publication year: 2017  |  Semantic Search
Text mining workflows for indexing archives with automatically extracted semantic metadata
By  Riza Batista-Navarro, Axel Soto, William Ulate, Sophia Ananiadou
Publication year: 2016  |  Text And Data Mining  |  Knowledge Discovery  |  TDM In Information Retrieval  |  Exploratory Search And Discovery  |  Semantic Search
TDM in recommender systems for research and in tracking research impact
By  Petr Knoth
Publication year: 2017  |  Text And Data Mining  |  Filtering And Recommendation And Similarity  |  Semantic Search
Text mining tools for extracting information about microbial biodiversity in food
By  Estelle Chaix , Louise Deléger, Robert Bossy, Claire Nédellec
Publication year: 2017  |  Information Extraction  |  Relation Extraction  |  Semantic Search
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EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.