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Mining the UK Web Archive for Semantic Change Detection

Adam Tsakalidis, The Alan Turing Institute, London, United Kingdom, Marya Bazzi, Mihai Cucuringu, Pierpaolo Basile, Barbara McGillivray, The Alan Turing Institute, London, United Kingdom, University of Warwick, Coventry, United Kingdom, University of Oxford, Oxford, United Kingdom, The Alan Turing Institute, London, United Kingdom, University of Oxford, Oxford, United Kingdom, University of Bari, Bari, Italy (+2 others)
2019 Proceedings - Natural Language Processing in a Deep Learning World  
of Procrustes alignment to detect words that have undergone semantic shift; and (c) introducing a rank-based approach for evaluation purposes.  ...  Semantic change detection (i.e., identifying words whose meaning has changed over time) started emerging as a growing area of research over the past decade, with important downstream applications in natural  ...  alignment and, therefore, to more effective detection of semantically shifted words.  ... 
doi:10.26615/978-954-452-056-4_139 dblp:conf/ranlp/TsakalidisBCBM19 fatcat:vgfs3axxybe7rfgnce74lvxn6a

LL(O)D and NLP perspectives on semantic change for humanities research

Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, Andrius Utka, Giedrė Valūnaitė Oleškevičienė, Marieke van Erp, Philipp Cimiano
2022 Semantic Web Journal  
This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research.  ...  The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.  ...  Acknowledgement This article is based upon work from COST Action Nexus Linguarum, European network for Web-centred linguistic data science, supported by COST (European Cooperation in Science and Technology  ... 
doi:10.3233/sw-222848 fatcat:qqbmouaquzbmtecm7bmqpofbva

A Hybrid Semantic Approach to Building Dynamic Maps of Research Communities [chapter]

Francesco Osborne, Giuseppe Scavo, Enrico Motta
2014 Lecture Notes in Computer Science  
We illustrate our approach with two case studies, highlighting the main communities and events that characterized the World Wide Web and Semantic Web areas in the 2000 -2010 decade.  ...  In earlier papers we characterised the notion of diachronic topicbased communities -i.e., communities of people who work on semantically related topics at the same time.  ...  ., "Semantic Web" and "Linked Data", are considered as unrelated entities.  ... 
doi:10.1007/978-3-319-13704-9_28 fatcat:jn5o7e652fbafevb2rncqutsea

Automated Discovery, Categorization and Retrieval of Personalized Semantically Enriched E-learning Resources

Leyla Zhuhadar, Olfa Nasraoui, Robert Wyatt, Elizabeth Romero
2009 2009 IEEE International Conference on Semantic Computing  
In this paper, we describe an integrated and working Elearning search system for retrieving personalized semantically enriched learning resources.  ...  We use Cluster Analysis in support of an adaptive personalized search for E-learning. This work ends with an experimental evaluation of the results and an overview of future research.  ...  Figure 1 shows the changes in our platform's architecture after detecting the shift in interests.  ... 
doi:10.1109/icsc.2009.107 dblp:conf/semco/ZhuhadarNWR09 fatcat:yuk2axkmfrbgbh7vadjuatic5y

Contextual Synchronization for Online Co-browsing on Peer-to-Peer Environment [chapter]

Jason J. Jung
2006 Lecture Notes in Computer Science  
Thereby, the users are semantically tracked for modeling the context about their information searching tasks.  ...  In this paper, we propose a novel synchronization method based on contextual information elicited from a group of peers for online collaborative browsing on p2p environment.  ...  It is capable of detecting the contextual transitions of users in a group, so that they are efficiently shifted into the relevant group communications.  ... 
doi:10.1007/11758532_34 fatcat:mu6xlavnmrbohje2qsjji6azpy

Using data-mining to identify and study patterns in lexical innovation on the web

Daphné Kerremans, Jelena Prokić, Quirin Würschinger, Hans-Jörg Schmid
2018 Pragmatics & Cognition  
It enables researchers to use the web as a corpus in order to investigate the dynamics of lexical innovation on a large-scale and systematic basis.  ...  This paper presents the NeoCrawler – a tailor-made webcrawler, which identifies and retrieves neologisms from the Internet and systematically monitors the use of detected neologisms on the web by means  ...  This research has been supported in part by NSF CNS-1010921, IIS-1149837, IIS-1514268 NIH BD2K, ARO MURI, DARPA XDATA, DARPA SIMPLEX, Stanford Data Science Initiative, SAP Stanford Graduate Fellowship,  ... 
doi:10.1075/pc.00006.ker fatcat:az2pq3l6ejfqxazilfjvfd74pa

Ontology based Dynamic Customization for Composite Web Services

Thirumaran. M, Dhavachelvan. P, Shanmugapriya. R
2013 International Journal of Computer Applications  
The emerging semantic web era makes the entire web, user friendly to the humans by shifting the producer centric paradigm to consumer centric paradigm.  ...  Business process Customization done for business goal analysis with BPEL, OWL, has shifted to OWL-BPC [web ontology language for business process customization] based on semantic markup language for web  ...  Semantic web should support a shift of social interaction patterns from a producer-centric paradigm to a consumer-centric one.  ... 
doi:10.5120/11437-6577 fatcat:xney5b5gvzcoxf5vg7aozp3yjq

Diachronic word embeddings and semantic shifts: a survey [article]

Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal
2018 arXiv   pre-print
In this paper, we survey the current state of academic research related to diachronic word embeddings and semantic shifts detection.  ...  We start with discussing the notion of semantic shifts, and then continue with an overview of the existing methods for tracing such time-related shifts with word embedding models.  ...  Already in 2009, it was proposed that one can use distributional methods to detect semantic shifts in a quantitative way.  ... 
arXiv:1806.03537v2 fatcat:7yrwk5zcn5f2jalapkiigsoqgy

Understanding Research Dynamics [chapter]

Francesco Osborne, Enrico Motta
2014 Communications in Computer and Information Science  
Rexplore leverages novel solutions in data mining, semantic technologies and visual analytics, and provides an innovative environment for exploring and making sense of scholarly data.  ...  Rexplore allows users: 1) to detect and make sense of important trends in research; 2) to identify a variety of interesting relations between researchers, beyond the standard co-authorship relations provided  ...  The three semantic relationships detected by Klink are 1) skos:broaderGeneric (topics T 1 is a sub-area of topic T 2 ; e.g., "Linked Data" is a sub-area of "Semantic Web"), 2) contributesTo (research in  ... 
doi:10.1007/978-3-319-12024-9_13 fatcat:6bkavcg7hnb65iyjovrsajpb2u

Genre Specific Classification for Information Search and Multimodal Semantic Indexing for Data Retrieval

S. Gomathy, K.P. Deepa, T. Revathi, L. Maria Michael Visuwasam
2013 The SIJ Transactions on Computer Science Engineering & its Applications (CSEA)  
Searching has become an integral part in today's Internet bound era.  ...  Here we propose, two step frame work comprising of two levels, genre level and semantic concept level, with a filtering mechanism to generate the accurate video result.  ...  The main goal of our paper is to use Multimodality web Categorization Algorithm which considers detecting genre specific semantic concepts for a given video by using two stages.  ... 
doi:10.9756/sijcsea/v1i1/01010159 fatcat:56gib7vgzzcvnins26rovciytm

Semantic context transfer across heterogeneous sources for domain adaptive video search

Yu-Gang Jiang, Chong-Wah Ngo, Shih-Fu Chang
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
The semantic context transfer process provides an effective means to cope with the domain shift between external knowledge source (e.g., Flickr context) and test data, which is a critical issue in video  ...  Automatic video search based on semantic concept detectors has recently received significant attention.  ...  We are grateful to Jun Wang for his help in the formulation part and Xiao-Yong Wei for providing baseline results using WordNet.  ... 
doi:10.1145/1631272.1631296 dblp:conf/mm/JiangNC09 fatcat:au3kklsoarb77mnfomme4zjbjy

Life-Cycles and Mutual E_ects of Scientific Communities

V́aclav Beĺak, Marcel Karnstedt, Conor Hayes
2011 Procedia - Social and Behavioral Sciences  
Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications.  ...  In this work, we propose a general framework consisting of several different techniques to analyse and explain cross-community effects and the underlying dynamics.  ...  Often, very strong shifts with P S → 1 were associated with newly emerged communities, which disappeared in the next time step.  ... 
doi:10.1016/j.sbspro.2011.07.054 fatcat:c4o3u5cmzrbtfmn2j6vikwoqku

Integrated approach to Web ontology learning and engineering

M. Missikoff, R. Navigli, P. Velardi
2002 Computer  
The precision shift derived from the significant differences experts often demonstrate in their intuitions.  ...  We can use this semantic interpretation to detect other types of relations beyond the taxonomic.  ... 
doi:10.1109/mc.2002.1046976 fatcat:xxyol4ces5e7phwseb554feumq

Learning from Noisy Web Data with Category-Level Supervision

Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashu Sabharwal
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
However, the performance gap between webly supervised learning and traditional supervised learning is still very large, due to the label noise of web data as well as the domain shift between web data and  ...  In particular, we build our deep probabilistic framework upon variational autoencoder (VAE), in which classification network and VAE can jointly leverage category-level hybrid information.  ...  the domain shift between web data and test data.  ... 
doi:10.1109/cvpr.2018.00802 dblp:conf/cvpr/0002TVS18 fatcat:bavjclo5dfcvzibohhxrsneo74

Making Table Understanding Work in Practice [article]

Madelon Hulsebos and Sneha Gathani and James Gale and Isil Dillig and Paul Groth and Çağatay Demiralp
2021 arXiv   pre-print
We present SigmaTyper which implements this framework for the semantic column type detection task.  ...  Table understanding methods aim at detecting a table's topic, semantic column types, column relations, or entities.  ...  Figure 1 : 1 Models often fail when data-shift occurs. Data-shift comes in three flavors in practice: (a) covariate-shift, (b) labelshift, and (c) out-of-distribution data.  ... 
arXiv:2109.05173v1 fatcat:huoeikenzbesbco3ymnd5pxcry
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