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A Framework For Measuring Semantic Drift In Ontologies
2016
Zenodo
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Building upon and extending existing work, this paper presents a framework for measuring semantic drift in ontologies across time or multiple versions, using text and structural similarity methods to provide ...
Its applicability and usefulness are validated through a proof-of-concept scenario in Digital Preservation, where long-term insights about change are crucial, to track drift across a decade's worth of ...
CONCLUSION This paper presented a framework for measuring semantic change in terms of semantic concept drift. ...
doi:10.5281/zenodo.344911
fatcat:lpc6xr6rzzhjbdxez7ivj6evzq
Semadrift: A Protégé Plugin For Measuring Semantic Drift In Ontologies
2017
Zenodo
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Released under Apache V2 License, the proposed framework developed in the context of PERICLES is available for download from http://mklab.iti.gr/project/semadrift-measure-semantic-drift-ontologies ...
The paper presents the SemaDrift framework of tools and methods for measuring semantic drift across ontologies versions, which integrates currently investigated methods, such as text and structural similarity ...
Conclusions and Future Work This paper presented a framework for measuring semantic change in terms of semantic concept drift. ...
doi:10.5281/zenodo.345374
fatcat:ibfz6gshgre6xkcgvvj6fccwju
The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned
[chapter]
2017
Lecture Notes in Computer Science
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Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. ...
This paper presents a novel software tool developed in the context of the PERICLES FP7 project that integrates currently investigated methods, such as text and structural similarity, into the popular ontology ...
Conclusions and Future Work This paper presented a Protégé plugin for measuring semantic change in terms of concept drift. ...
doi:10.1007/978-3-319-58694-6_3
fatcat:rztzi2re6fejpakn6cqbcbj3r4
LL(O)D and NLP perspectives on semantic change for humanities research
2022
Semantic Web Journal
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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 paper's aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European ...
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
The Impact on Citation Analysis Based on Ontology and Linked Data
[chapter]
2018
Scientometrics
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Research focus: The aim of this chapter is to introduce a new citation analysis and service framework based on the semantic web technologies (e.g., ontology and linked data). ...
lack ability to store and query data in a machine-readable mode. ...
Acknowledgements This work was supported by a grant from the national social science foundation of China (No. 16BTQ073). ...
doi:10.5772/intechopen.76377
fatcat:fydjve7y7vcfhg3j5rxs3ympru
An Effective Hybrid Recommender Using Metadata-based Conceptualization and Temporal Semantics
2016
International Journal of Recent Contributions from Engineering, Science & IT
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In this paper a hybrid recommender framework is developed that considers Meta data based conceptual semantics and the temporal patterns on top of the history of the usage. ...
This framework also includes an online process that identifies the conceptual drift of the usage dynamically. ...
There after Web log gets annotated with the semantics for each URL with a set of the entities from the domain ontology which is part task in profiling the user. ...
doi:10.3991/ijes.v4i3.5943
fatcat:jaq5o3ir7neb3pizy5yxl3nube
Monitoring Term Drift Based On Semantic Consistency In An Evolving Vector Field
2015
Zenodo
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The paper presents key outcomes of the PERICLES project in the area of semantic drift and, more specifically, proposes a novel methodology for monitoring semantic drifts and for evaluating semantic consistency ...
Comparing the term vectors in the random indexed space by a similarity measure such as the Euclidean distance or cosine dissimilarity enables a quantitative framework for semantic analysis.
B. ...
Quantifying drifts The foundation for measuring the drift is based on random indexing of subsequent TFIDF spaces with a fixed random seed. ...
doi:10.5281/zenodo.344786
fatcat:np2nb7fysvb7zkvbpit5nc7bji
SPATIO-TEMPORAL CHANGE MODELING OF LULC: A SEMANTIC KRIGING APPROACH
2015
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This work attempts to study the change in inter-annual <i>LULC</i> pattern and the distribution of different meteorological attributes of a region in Kolkata (a metropolitan city in India) during the years ...
A new variant of time-series <i>SemK</i> is proposed, namely <i>Rev-SemK</i><sub>ts</sub> to capture the multivariate semantic associations between different attributes. ...
Temporal-semantic semivariogram with respect to NDVI (a) RMSE for zone 1 (b) RMSE for zone Prediction error reported using RMSE for five exclusive subzones in two zones
Figure 8 .Figure 9 . 89 Spatio-semantic ...
doi:10.5194/isprsannals-ii-4-w2-177-2015
fatcat:7m6iad6rcfhujhsam7eajxs5ra
Monitoring term drift based on semantic consistency in an evolving vector field
2015
2015 International Joint Conference on Neural Networks (IJCNN)
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To monitor semantic drifts within the observation period, an experiment was carried out on the term space of a collection of 12.8 million Amazon book reviews. ...
We found that at 0.05 level of significance, the terms in the clusters showed a high level of semantic consistency. ...
Comparing the term vectors in the random indexed space by a similarity measure such as the Euclidean distance or cosine dissimilarity enables a quantitative framework for semantic analysis.
B. ...
doi:10.1109/ijcnn.2015.7280766
dblp:conf/ijcnn/WittekDKMK15
fatcat:j4nocueacndi5mmk5vthzaeyme
Information systems special issue on ACM CIKM 2007
2009
Information Systems
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They provide requirements and mappings to evaluation measures for use in ontology evaluation. They demonstrate the use of these measures for evaluating ontologies for use in browsing Wikipedia. ...
In the second paper, titled ''Metric-based Stochastic Conceptual Clustering for Ontologies'', Fanizzi, d'Amato, and Esposito present a framework for stochastic conceptual clustering. ...
doi:10.1016/j.is.2009.07.001
fatcat:zkrvet6cdravzdehzfcgwwp5oi
OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation
2021
International Journal of Interactive Multimedia and Artificial Intelligence
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The OntoInfoG++ has achieved an overall F-measure of 97.27 % which is the best-in-class F-measure for an infographic recommendation system. ...
increasing order of their semantic similarity to yield a chronological order for the meaningful arrangement of infographics. ...
The authors thank God the Eternal Father and Lord Jesus Christ for providing the required knowledge and insights for carrying our this work. ...
doi:10.9781/ijimai.2021.12.005
fatcat:pjyiovkvwzfcljkvhdwzcqe4k4
Integrating Big Data: A Semantic Extract-Transform-Load Framework
2015
Computer
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The proposed Semantic Extract-Transform-Load (ETL) framework that uses semantic technologies to integrate and publish data from multiple sources as open linked data provides an extensible solution for ...
effective data integration, facilitating the creation of smart urban apps for smarter living. ...
It allows users to create ontologies in W3C's Web Ontology Language. It is used in our framework to provide semantic metadata to the schema of datasets from various sources. ...
doi:10.1109/mc.2015.76
fatcat:qmwmjxtdrza7ncgbun6g65s5fa
Improving Data Discovery for Metadata Repositories through Semantic Search
2009
2009 International Conference on Complex, Intelligent and Software Intensive Systems
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Our semantic search system adds to Metacat the ability to store OWL-DL ontologies in addition to semantic annotations that link data set attributes to ontology terms. ...
The amount of ecological data available electronically is increasing at a rapid rate, e.g., over 15,000 data sets are available today in the Knowledge Network for Biocomplexity (KNB) alone. ...
Acknowledgements This work is supported in part by the National Science Foundation under grants ITR 0225674, 0225676, 0743429, 0753144, and 0630033.
References ...
doi:10.1109/cisis.2009.122
dblp:conf/cisis/BerkleyBJMS09
fatcat:jud2fndo4vfahgyyrhracd3fbm
Ontological Shift or Ontological Drift? Reality Claims, Epistemological Frameworks, and Theory Generation in Organization Studies
2011
Academy of Management Review
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Particular thanks go also to the reviewers for their invaluable insights and continued support throughout the review process. ...
In this case, a conscious ontological shift in focal definition and context of the phenomenon under study is accompanied by a corresponding shift in the semantic relationships claimed for the construct ...
Suddaby's framework of construct clarity therefore offers an explicit assessment for determining whether, and what type of, ontological shift/drift may have occurred. ...
doi:10.5465/amr.2010.0070
fatcat:2hf7v4vn4nc6xdfyfttw3k4o6u
News Event Modeling and Tracking in the Social Web with Ontological Guidance
2010
2010 IEEE Fourth International Conference on Semantic Computing
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This paper proposes a novel latent Dirichlet framework for event modeling and tracking. ...
Our approach takes into account ontological knowledge on events that exist in the real world to guide the modeling and tracking processes. ...
Therefore, we propose a novel framework that uses ontological guidance to close the semantic gap between the discovered event language models and events in the real world. ...
doi:10.1109/icsc.2010.75
dblp:conf/semco/Ha-ThucMHS10
fatcat:lqsgt4ec5zdo3irybp2t7k7cti
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