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Automatising the learning of lexical patterns: An application to the enrichment of WordNet by extracting semantic relationships from Wikipedia

Maria Ruiz-Casado, Enrique Alfonseca, Pablo Castells
2007 Data & Knowledge Engineering  
El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract This paper describes an automatic approach to identify lexical  ...  Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and WordNet 1.7.  ...  The need for automation in the extraction of relations is not limited to ontologies for the Semantic Web.  ... 
doi:10.1016/j.datak.2006.06.011 fatcat:tiou4wh7evbcjnwznx3zclbsd4

RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval [article]

Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017 arXiv   pre-print
RELink includes entity and relationship indexing based on the ClueWeb-09-B Web collection with FACC1 text span annotations linked to Wikipedia entities.  ...  We have publicly released the RELink test collection comprising 600 queries and relevance judgments obtained from a sample of Wikipedia List-of-lists-of-lists tables.  ...  ACKNOWLEDGMENTS Authors would like to thank Jan Šnajder for assisting with acquiring and managing annotators of RELink queries.  ... 
arXiv:1706.03960v1 fatcat:5ctjwydbkjgfhkln4apxtt52ky

Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey

Nora I. Al- Rajebah, Hend S. Al- Khalifa
2010 International Journal of Computer Applications  
Wikipedia is considered as one of the important knowledge sources that have been used to extract semantic relations due to its characteristics as a semi-structured knowledge source that would facilitate  ...  Several studies focus on how to extract concepts and semantic relations in order to build ontologies.  ...  The authors are thankful to Professor AbdulMalik S. Al-Salman, for his valuable and thoughtful feedback.  ... 
doi:10.5120/1661-2236 fatcat:54cgxwxatnawdbtp2reynusqo4

Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia [chapter]

Maria Ruiz-Casado, Enrique Alfonseca, Pablo Castells
2005 Lecture Notes in Computer Science  
This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from an on-line encyclopedia.  ...  The Semantic Web (SW) constitutes an initiative to extend the web with machine readable contents and automated services far beyond current capabilities [2] .  ...  This work opens the following research lines: (a) to extract other kinds of relations, such as location, instrument, telic or author; (b) to generalise the experiment to other ontologies and encyclopedias  ... 
doi:10.1007/11428817_7 fatcat:bae5yj45dngrbksu5ruopeodly

Towards Complex Product Line Variability Modelling: Mining Relationships from Non-Boolean Descriptions

Jessie Carbonnel, Marianne Huchard, Clémentine Nebut
2019 Journal of Systems and Software  
The extractive adoption of a product line requires to extract variability information from the description of a collection of existing software systems to model their variability.  ...  We show that our method does not suffer from scalability issues and extracts all pertinent relationships, but that it also extracts numerous accidental relationships that need to be filtered.  ...  Therefore, this step may be fully automated in some cases, and otherwise semi-automated.  ... 
doi:10.1016/j.jss.2019.06.002 fatcat:m272yunvpja6vot32oy5u73hoq

Event Time Relationship in Natural Language Text

Vanitha Guda, SureshKumar Sanampudi
2019 International Journal of Recent Contributions from Engineering, Science & IT  
<p>Due to the numerous information needs, retrieval of events from a given natural language text is inevitable.  ...  As a result, a graph is derived to show event-time relationships in the given text. Events form the nodes in a graph, and edges represent the temporal relations among the nodes.  ...  It encompasses all quantitative approaches to automate language processing.  ... 
doi:10.3991/ijes.v7i3.10985 fatcat:2u2lzdfjsvewjihjimokzzvpza

Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval

2017 Transinformação  
To enable the comparison between the approaches, two databases were created based on the texts with the semantic annotations to represent the semantic search.  ...  Therefore, the semi-automatic creation of a lexical database in Brazilian Portuguese containing morphological, syntactic, and semantic information that can be read by machines was proposed, allowing the  ...  Contributors All authors contributed to the conception and design of the study, data analysis and final editing.  ... 
doi:10.1590/2318-08892017000100006 fatcat:xykrftxwojgvnj4qqj7g2mxmzi

Mathematics in Wikidata

Philipp Scharpf, Moritz Schubotz, Bela Gipp
2021 Zenodo  
Our long-term goal is to populate Wikidata, such that it can serve a variety of automated math reasoning tasks and AI systems.  ...  Documents from Science, Technology, Engineering, and Mathematics (STEM) disciplines usually contain a significant amount of mathematical formulae alongside text.  ...  Expressions 201 to 305 were selected from the NTCIR arXiv and NTCIR-12 Wikipedia dataset retrieval. 70 % of these formulae were taken from the arXiv and 30 % from a Wikipedia dump.  ... 
doi:10.5281/zenodo.5589639 fatcat:isu6lmir5ve2hmgvvec4xibmfe

Automatic Assignment of Wikipedia Encyclopedic Entries to WordNet Synsets [chapter]

Maria Ruiz-Casado, Enrique Alfonseca, Pablo Castells
2005 Lecture Notes in Computer Science  
We describe an approach taken for automatically associating entries from an on-line encyclopedia with concepts in an ontology or a lexical semantic network.  ...  It has been tested with the Simple English Wikipedia and WordNet, although it can be used with other resources.  ...  A sample with the first 180 polysemous terms from Wikipedia was manually annotated with the correct sense 2 .  ... 
doi:10.1007/11495772_59 fatcat:tducsl2i5jhgpozhxzs3ssxbq4

Unsupervised Approaches for Textual Semantic Annotation, A Survey

Xiaofeng Liao, Zhiming Zhao
2019 ACM Computing Surveys  
Link to publication Creative Commons License (see CC BY Citation for published version (APA):  ...  ACKNOWLEDGMENTS The authors thank the anonymous reviewers for their helpful comments, in addition to Cees de Laat, Paul Martin, Jayachander Surbiryala, and ZeShun Shi for useful discussions.  ...  To resolve this problem, numerous works have been carried out to increase the degree of automation of semantic annotation from manual to semi-automatic to fully automatic.  ... 
doi:10.1145/3324473 fatcat:fg5ucwtloze6ljdlh4hqjkqxfe

Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system

Kristina Doing-Harris, Yarden Livnat, Stephane Meystre
2015 Journal of Biomedical Semantics  
Our SEmi-Automated ontology Maintenance (SEAM) system features a natural language processing pipeline for information extraction.  ...  The set of recommended terms is then used to filter the synonyms and hierarchical relationships extracted from the biomedical corpus.  ...  Acknowledgments We would like to gratefully acknowledge the contributions in discussions about this work and in code development of Narong Boonsirisumpun, MS  ... 
doi:10.1186/s13326-015-0011-7 pmid:25874077 pmcid:PMC4396714 fatcat:somo6xowjfgi3npl7c3oqwgawa

A Survey on Semantics in Automated Data Science [article]

Udayan Khurana and Kavitha Srinivas and Horst Samulowitz
2022 arXiv   pre-print
Moreover, semantics can assist data scientists in a new manner by helping with challenges related to trust, bias, and explainability.  ...  While data scientists can employ various such tools to help with model building, many other aspects such as feature engineering that require semantic understanding of concepts, remain manual to a large  ...  Assuming automatically semantically annotated data and a list of protected attributes such as race, gender, or age, it is possible to discover the existence of a potential relationship to a protected attribute  ... 
arXiv:2205.08018v1 fatcat:2rrsqvcl65hsdf7qztc5lfau2q

Text Complexity Classification Data Mining Model Based on Dynamic Quantitative Relationship between Modality and English Context

Dan Zhang, Gengxin Sun
2021 Mathematical Problems in Engineering  
Experimental results show that the collected quantitative relationship information is identified and expressed in order to realize the conversion of quantitative relationship information into product features  ...  complexity acquisition, recognition, and expression, to obtain a text complexity analysis based on text mining technology.  ...  to predict random relationships for benefits from the increasing marker data set.  ... 
doi:10.1155/2021/4805537 fatcat:zfnleith7vcwjbkokxkcfprhaq

DSPAA: A Data Sharing Platform with Automated Annotation

I.P. Keerthana, T. Aby Abahai
2016 Procedia Computer Science  
In this paper we propose a new approach that supports the generation of the structured annotation in the form of attribute name and attribute value pairs from unstructured document.  ...  A new data sharing platform DSPAA (Data Sharing Platform with Automated Annotation) is proposed, where the document annotation occurs when the author uploads a document and it is based on a probabilistic  ...  that is meaning and relationship information to unstructured and semi-structured document text.  ... 
doi:10.1016/j.procs.2016.05.175 fatcat:bzknotucf5gd5dj7qb2goklee4

Human Intelligence in the Process of Semantic Content Creation

Katharina Siorpaes, Elena Simperl
2009 World wide web (Bussum)  
One of the reasons for this state of affairs is assumed to be the lack of useful semantic content, a prerequisite for almost every IT system or application using semantics.  ...  In other words, users do not have a motivation to contribute to the process.  ...  Table 2 2 Classification of approaches approaches to semantically annotate text.  ... 
doi:10.1007/s11280-009-0078-0 fatcat:adbitxfmrbettokx4duprf2auu
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