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Using ontology for resume annotation [article]

Wahiba Ben Abdessalem Karaa Nouha Mhimdi
2012 arXiv   pre-print
Various approaches for process documents have already been developed for recruitment. In this paper we present an approach based on semantic annotation of resumes for e-recruitment process.  ...  The most important task consists on modelling the semantic content of these documents using ontology.  ...  In this context, several approaches conducted under the recruitment (e-recruitment), take into account the semantics of used documents (e.g. resume).  ... 
arXiv:1211.2854v1 fatcat:7u2vks4dafgj7gruqhyuwyszi4

"STUDY OF SEMANTIC WEB BAS`ED E-RECRUITMENT SYSTEM : REVIEW"

Hina H Soni
2017 International Journal of Advanced Research in Computer Science  
Ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge. The aim of this research is to review the existing Ontologies developed for e -recruitment.  ...  In this paper I have done a review and analysis of semantic web based e -recruitment systems with their different concepts undertaken for their development.  ...  INTRODUCTION E-recruitment Recruiting suitable candidates online for the vacant jobs with the help of recruitment websites using different online resources is known as e-recruitment.  ... 
doi:10.26483/ijarcs.v8i9.4907 fatcat:oh7yi255drgdlarmweavblxwhe

BiLSTM-Attention-CRF model for entity extraction in internet recruitment data

Xia Cui, Feifei Dai, Changpeng Sun, Zihua Cheng, Borang Li, Bo Li, Yaoxin Zhang, Zhongjun Ji, Deyu Liu
2021 Procedia Computer Science  
To verify the performance of the model, the paper used crawler technology to capture the real Internet recruitment data and annotate it and obtain a real data set.  ...  To verify the performance of the model, the paper used crawler technology to capture the real Internet recruitment data and annotate it and obtain a real data set.  ...  LSTM layer Based on the previous process to obtain the word vectors 1 2 { , ,..., } n E e e e  this paper uses LSTM 14 to model the contexts' semantic information and capture the semantic features.  ... 
doi:10.1016/j.procs.2021.02.118 fatcat:hzliafnqirarznqadn5w7g7yga

Screening the Candidates in IT Field Based on Semantic Web Technologies: Automatic Extraction of Technical Competencies from Unstructured Resumes

Mihaela-Irina ENACHESCU
2019 Informatică economică  
candidates for a particular open position to the recruiter.  ...  Its main goal is to provide a valuable support in the first stage of the personnel selection by decreasing the number of errors that can occur when thousands of CVs/profiles are manually filtered to pick  ...  Acknowledgment Parts of this research have been published in the Proceedings of the 17 th International Conference on Informatics in Economy, IE 2018 [19] .  ... 
doi:10.12948/issn14531305/23.4.2019.05 fatcat:dparxthg35g4xoiurmtvhwy6xy

SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research [article]

Honghan Wu, Giulia Toti, Katherine Morley, Zina Ibrahim, Amos Folarin, Richard Jackson, Ismail Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts (+3 others)
2017 bioRxiv   pre-print
To achieve this, we implemented SemEHR - a semantic search and analytics, open source tool for EHRs.  ...  At Kings College Hospital in London, as part of the CogStack programme (github.com/cogstack), SemEHR is being used to recruit patients into the UK Dept of Health 100k Genome Project (genomicsengland.co.uk  ...  All authors contributed to the abstract.  ... 
doi:10.1101/235622 fatcat:khp5omruwvgtfjmcqjtenbyk3q

Semantic Medical Prescriptions -- Towards Intelligent and Interoperable Medical Prescriptions

Ali Khalili, Bita Sedaghati
2013 2013 IEEE Seventh International Conference on Semantic Computing  
In order to showcase the applicability of semantic prescriptions we present an application called Pharmer.  ...  In this paper we present semantic medical prescriptions which are intelligent e-prescription documents enriched by dynamic drug-related meta-data thereby know about their content and the possible interactions  ...  ACKNOWLEDGEMENT We would to thank the AKSW research group members especially Prof. Sören Auer for their support during the development of Pharmer.  ... 
doi:10.1109/icsc.2013.66 dblp:conf/semco/KhaliliS13 fatcat:mgivw725sbdfbnp5s4wpuw22iy

Ontology-driven Information Extraction [article]

Weronika T. Adrian and Nicola Leone and Marco Manna
2015 arXiv   pre-print
Moreover, we design and implement a system, named KnowRex, that has been successfully applied to curriculum vitae in the Europass style to offer a semantic view of them, and be able, for example, to select  ...  Homogeneous unstructured data (HUD) are collections of unstructured documents that share common properties, such as similar layout, common file format, or common domain of values.  ...  The problem of recruiters and the goal of our system is to extract appropriate information from a collection of documents, and enter it into the target database.  ... 
arXiv:1512.06034v1 fatcat:ufnsndfymbconhxl34277jshq4

Crowd-annotation and LoD-based semantic indexing of content in multi-disciplinary web repositories to improve search results

Arshad Khan, Thanassis Tiropanis, David Martin
2017 Proceedings of the Australasian Computer Science Week Multiconference on - ACSW '17  
Secondly, we claim that by expert crowd-annotation of content on top of automatic semantic annotation, we can enrich the semantic index over time to augment the contextual value of content in web repositories  ...  We also analyze and demonstrate that by adding expert annotations to the existing semantic index, we can improve the relationship between query and documents using Cosine Similarity Measures (CSM).  ...  In other words, a document vector can be lengthnormalized by dividing each of its components by its length i.e. = where components i,c,e,a represent in our case additional layers of annotation to a document  ... 
doi:10.1145/3014812.3014867 dblp:conf/acsw/KhanTM17 fatcat:wbtxxwbwq5bw5hqnkvivozko6u

Analysis and shortcomings of e-recruitment systems: Towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage

Mohammed Maree, Aseel B Kmail, Mohammed Belkhatir
2018 Journal of information science  
The rapid development of the Internet has led to introducing new methods for e-recruitment and human resources management.  ...  These methods aim to systematically address the limitations of conventional recruitment procedures through incorporating natural language processing tools and semantics-based methods.  ...  of e-documents.  ... 
doi:10.1177/0165551518811449 fatcat:byik33z2brhuhmmvik5vs54r64

SemClinBr – a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks [article]

Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline P. Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro
2020 arXiv   pre-print
In this study, we developed a semantically annotated corpus using clinical texts from multiple medical specialties, document types, and institutions.  ...  The high volume of research focusing on extracting patient's information from electronic health records (EHR) has led to an increase in the demand for annotated corpora, which are a very valuable resource  ...  They annotated a set of 11 semantic groups, which they mapped to the corresponding UMLS semantic types.  ... 
arXiv:2001.10071v1 fatcat:crmiayut4rfyxddqs6n34anyue

A Reuse-Based Annotation Approach for Medical Documents [chapter]

Victor Christen, Anika Groß, Erhard Rahm
2016 Lecture Notes in Computer Science  
Annotations are useful to semantically enrich documents and other datasets with concepts of standardized vocabularies and ontologies.  ...  The final annotations are selected according to a new contextbased strategy that considers the co-occurrence and semantic relatedness of annotating concepts.  ...  This work is funded by the German Research Foundation (DFG) (grant RA 497/22-1, "ELISA -Evolution of Semantic Annotations").  ... 
doi:10.1007/978-3-319-46523-4_9 fatcat:to573434efdxhfeliukwscrxce

User-System Cooperation in Document Annotation Based on Information Extraction [chapter]

Fabio Ciravegna, Alexiei Dingli, Daniela Petrelli, Yorick Wilks
2002 Lecture Notes in Computer Science  
The process of document annotation for the Semantic Web is complex and time consuming, as it requires a great deal of manual annotation.  ...  Finally we present an experiment that quantifies the gain in using IE as support to human annotators. Asuncion Gomez-Perez, V.  ...  Its objectives are to develop technologies to cope with the six main challenges of knowledge management: acquisition, modelling, retrieval/extraction, reuse, publication and maintenance.  ... 
doi:10.1007/3-540-45810-7_15 fatcat:olhsta3iebestarhs74qil75ry

Collective memory based on semantic annotation among economic intelligence actors

Bensattalah Aissa, Fahima Nader, Rachid Chalal
2014 International Journal of Collaborative Intelligence  
Indeed, whenever an actor explores knowledge or a relevant document, it enriches the collective knowledge of the memory via annotations.  ...  semantic annotations between economic intelligence actors in order to capitalise on and reuse the knowledge shared in a collective memory.  ...  Wahiba and Nouha (2011) presented an approach based on semantic annotation of resumes for e-recruitment process can be useful for many human resource applications: retrieval, classification, extraction  ... 
doi:10.1504/ijci.2014.064850 fatcat:b6npg5455jezvgmyo47izhzahu

Semantic Information Extraction on Domain Specific Data Sheets [chapter]

Kai Barkschat
2014 Lecture Notes in Computer Science  
This paper focuses on ontology based knowledge modelling for semantic data extraction. Therefore, semantic verification techniques which can be used to improve the extraction are introduced.  ...  Therefore the approach of a new framework which combines natural language processing and semantic web technology is discussed.  ...  This is due to the fact applied NLP tools use neither semantic features nor context viewing for their annotation tagging.  ... 
doi:10.1007/978-3-319-07443-6_60 fatcat:cynzsspbgjcpjnnrpxu2rf3e44

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model

Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence Adam, Zhe He, Rui Zhang
2021 AMIA Annual Symposium Proceedings  
We mapped annotated entities to OMOP Common Data Model (CDM) with novel entities (e.g., DS).  ...  Using electronic health records to find eligible patients who meet clinical trial eligibility criteria has been shown as a promising way to assess recruitment feasibility and accelerate the recruitment  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  ... 
pmid:33936396 pmcid:PMC8075443 fatcat:w6et3omyg5h65mrcyhj7gbdiqm
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