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Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets [chapter]

Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna
2013 Lecture Notes in Computer Science  
This decreases the quality of data and may eventually hamper its usability over large scale. This paper describes Statistical Knowledge Patterns (SKP) as a means to address this issue.  ...  SKPs encapsulate key information about ontology classes, including synonymous properties in (and across) datasets, and are automatically generated based on statistical data analysis.  ...  Acknowledgements Part of this research has been sponsored by the EPSRC funded project LODIE: Linked Open Data for Information Extraction, EP/J019488/1.  ... 
doi:10.1007/978-3-642-41335-3_44 fatcat:xfbawwzrebcrvf3un7vwmyn2dq

Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge

Kishlay Jha, Wei Jin
2016 Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '16  
In this study, to discover interesting and inherent links latent in large corpora, nine distinct methods, comprising variants of statistical information measures and derived semantic knowledge from domain  ...  In LBD, to discover hidden links, it is important to determine the relevancy between concepts using appropriate information measures.  ...  It is known that rare connections might prove as golden luggage in large datasets. The key components in Rajolink included: Rare terms, Joint terms, and linking terms.  ... 
doi:10.1145/2975167.2975200 dblp:conf/bcb/JhaJ16 fatcat:ldtlfdods5hn7n4hxonqbc7fsq

Statistical Analysis based Hypothesis Testing Method in Biological Knowledge Discovery

Naseef-Ur-Rahman Chowdhury Md, Suvankar Paul, Kazi Zakia Sultana
2013 International Journal on Computational Science & Applications  
In this paper, we introduce a text mining based method for answering the biological queries in terms of statistical computation such that researchers can come up with new knowledge discovery.  ...  Their queries have potential role in exploring new relations which may open up a new area of investigation.  ...  BioIE retrieves abstracts from PubMed based on a keyword query and then identifies and extracts informative sentences using rule and pattern based methods [6] .  ... 
doi:10.5121/ijcsa.2013.3603 fatcat:a6vyh7vjrvbljkrlbvrlgj2h4e

Enriching integrated statistical open city data by combining equational knowledge and missing value imputation

Stefan Bischof, Andreas Harth, Benedikt Kämpgen, Axel Polleres, Patrik Schneider
2018 Journal of Web Semantics  
In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and re-publish the resulting dataset in a re-usable  ...  about equational knowledge with inferences obtained from statistical Machine Learning approaches.  ...  In the remainder of the paper we use the terms (statistical) dataset, QB dataset and (data) cube synonymously.  ... 
doi:10.1016/j.websem.2017.09.003 fatcat:k6kenurs6baavaxweqcd2ahss4

Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance [article]

Bhawani Selvaretnam, Mohammed Belkhatir
2020 arXiv   pre-print
To this end, cognitive reformulation patterns that mimic user search behaviour are highlighted and enhancement terms which are statistically collocated with or lexical-semantically related to the original  ...  An experimental evaluation on real-world datasets against relevance, language, conceptual and knowledge-based models is conducted.  ...  Users do not often change a query by simply replacing it with a synonym i.e. only 4.9% of all expansions are related to patterns of replacement with a synonym.  ... 
arXiv:2004.10035v1 fatcat:ogp646o7cvekhffvdbfr3xjpum

Sentence similarity based on semantic nets and corpus statistics

Y. Li, D. McLean, Z.A. Bandar, J.D. O'Shea, K. Crockett
2006 IEEE Transactions on Knowledge and Data Engineering  
The proposed method can be used in a variety of applications that involve text knowledge representation and discovery.  ...  The use of a lexical database enables our method to model human common sense knowledge and the incorporation of corpus statistics allows our method to be adaptable to different domains.  ...  Acknowledgements We would like to thank the three anonymous referees for their insightful comments to the improvement in technical contents and paper presentation.  ... 
doi:10.1109/tkde.2006.130 fatcat:6xdbmdlm5rhgdk4mgisxeyno5m

Earth Observations and Statistics: Unlocking Sociodemographic Knowledge through the Power of Satellite Images

Paloma Merodio Gómez, Olivia Jimena Juarez Carrillo, Monika Kuffer, Dana R. Thomson, Jose Luis Olarte Quiroz, Elio Villaseñor García, Sabine Vanhuysse, Ángela Abascal, Isaac Oluoch, Michael Nagenborg, Claudio Persello, Patricia Lustosa Brito
2021 Sustainability  
Urban transformation processes, such as gentrification as well as the increase in poor urban neighbourhoods (e.g., slums) produce new urban patterns.  ...  These innovations fill data gaps for the production of statistical information, addressing the problems of access to field-based data under COVID-19.  ...  However, their potential to complement official statistics (for NSOs) is largely unexplored.  ... 
doi:10.3390/su132212640 fatcat:wgxb5lv5mrgsrbyhd7ybmsoqsq

Statistical source expansion for question answering

Nico Schlaefer, Jennifer Chu-Carroll, Eric Nyberg, James Fan, Wlodek Zadrozny, David Ferrucci
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
These differences are statistically significant and result in noticeable gains in search performance in a task-based evaluation on QA datasets.  ...  A source expansion algorithm automatically extends a given text corpus with related information from large, unstructured sources.  ...  In an offline learning phase, surface patterns are generated that can be used to recognize various types of relations in text passages.  ... 
doi:10.1145/2063576.2063632 dblp:conf/cikm/SchlaeferCNFZF11 fatcat:whoy62klazctbdo4p57wbevkdu

Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association analysis

Valentin Dinu, Hongyu Zhao, Perry L. Miller
2007 Journal of Biomedical Informatics  
In this paper we explore the use of biological domain knowledge to supplement statistical analysis and data mining methods to identify genes and pathways associated with disease.  ...  Pathway/SNP integrates domain knowledge-SNP, gene and pathway annotation from multiple sources-with statistical and data mining algorithms into a tool that can be used to explore the etiology of complex  ...  Acknowledgments This research is supported in part by NIH Grants T15 LM07056 and P20 LM07253 from the National Library of Medicine, NIH Grants UL1 RR024139, GM59507, and NIH Contract U24 NS051869.  ... 
doi:10.1016/j.jbi.2007.06.002 pmid:17625973 fatcat:6hhnnyok5nhhhp4njulmck2hqm

Survey of Hyponym Relation Extraction from Hyperlinks using Motif Patterns with Feature Combination Extraction Model

G. Keerthiga
2019 International Journal for Research in Applied Science and Engineering Technology  
Discovering hyponym relations among domain-specific terms is a fundamental task in taxonomy learning and knowledge acquisition.  ...  This paper presents a method for measuring the semantic similarity between concepts in Knowledge Graphs (KGs) such as WordNet and DBpedia.  ...  and Languages. 3) The three-node motifs in these datasets were analyzed based on the results which can quickly identify network motifs from large graphs with the data structure.  ... 
doi:10.22214/ijraset.2019.5219 fatcat:scv6fx7gfrfhzolkksqwkst3uq

Hyponym Relation Extraction from Hyperlinks using Motif Patterns with Feature Combination

Ms. P. Muthumani
2018 International Journal for Research in Applied Science and Engineering Technology  
The project presents the grammatical relationship between concepts in Knowledge Graphs such as Word-Net and DBpedia.  ...  So, the new hyponym relation extraction approach based on the network pattern of Wikipedia hyper-sonic was planned. Every hyper-sonic was mapped 13 types of three-node patterns.  ...  The aim of entity and word sense disambiguation is to link strings in the text to the related concepts in superficial knowledge bases.  ... 
doi:10.22214/ijraset.2018.4295 fatcat:42s67jz45bh7fm62to5p6lxo24

Semantic Similarity Measurement Using Historical Google Search Patterns

Jorge Martinez
2017 Figshare  
evaluating datasets containing terms that do not usually appear in dictionaries.  ...  In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine.  ...  Acknowledgments We would like to to thank in advance the reviewers for their time and consideration. We thank Lisa Huckfield for proofreading this manuscript.  ... 
doi:10.6084/m9.figshare.5624935.v1 fatcat:ppoout5cifefjgwfagvx53zhdm

Semantic Similarity Measurement Using Historical Google Search Patterns

Jorge Martinez Gil
2018 Figshare  
evaluating datasets containing terms that do not usually appear in dictionaries.  ...  In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine.  ...  Acknowledgments We would like to to thank in advance the reviewers for their time and consideration. We thank Lisa Huckfield for proofreading this manuscript.  ... 
doi:10.6084/m9.figshare.6652373 fatcat:4khcgeildnhbxjnc4ehbzndlce

Knowledge Graph Question Answering Using Graph-Pattern Isomorphism [chapter]

Daniel Vollmers, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck
2021 Applications and Practices in Ontology Design, Extraction, and Reasoning  
In this paper, we present a novel QA approach, dubbed TeBaQA. Our approach learns to answer questions based on graph isomorphisms from basic graph patterns of SPARQL queries.  ...  Learning basic graph patterns is efficient due to the small number of possible patterns. This novel paradigm reduces the amount of training data necessary to achieve state-of-the-art performance.  ...  (BMBF) in the project SOLIDE (no. 13N14456) within 'KMU-innovativ: Forschung für die zivile Sicherheit' in particular 'Forschung für die zivile Sicherheit'.  ... 
doi:10.3233/ssw210038 fatcat:ooekvx6g7re6fehn3cll6ijwhu

Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation [article]

Tang Duyu, Qin Bing, Zhou LanJun, Wong KamFai, Zhao Yanyan, Liu Ting
2013 arXiv   pre-print
In order to overcome the above problem, this paper presents an automatic framework to detect large-scale domain-specific patterns for DSSW extraction.  ...  Afterwards, syntactic and sequential relations between target words and high-ranked sentiment words are extracted automatically to construct large-scale patterns, which are further used to extracte DSSWs  ...  The advantage of our framework is to leverage domain-independent knowledge to detect large-scale syntactic and sequential patterns, which can be used to extract DSSWs.  ... 
arXiv:1309.6722v1 fatcat:xnte2urk55g63pdw2aj5wzdmbi
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