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Towards Efficient and Effective Semantic Table Interpretation [chapter]

Ziqi Zhang
2014 Lecture Notes in Computer Science  
TableMiner is able to use various types of contextual information outside tables for Table Interpretation , including semantic markups (e.g., RDFa/microdata annotations) that to the best of our knowledge  ...  This paper describes TableMiner, the first semantic Table Interpre tation method that adopts an incremental, mutually recursive and bootstrapping learning approach seeded by automatically selected 'partial  ...  Introduction Recovering semantics from tables on the Web is becoming a crucial task towards realizing the vision of Semantic Web.  ... 
doi:10.1007/978-3-319-11964-9_31 fatcat:l73bfrhzura5pm7ekb5bpjn7gq

Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

Aatif Ahmad Khan, Sanjay Kumar Malik
2020 Mehran University Research Journal of Engineering and Technology  
Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results.  ...  Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications.  ...  Typically, semantic search includes the usage of Semantic Web Technologies such as RDF, Ontology etc. as knowledge repositories in order to make content machine interpretable, effectively improving the  ... 
doi:10.22581/muet1982.2003.14 fatcat:bllrjiam3ncthh3n5tq4pv6zb4

Approaches, Challenges and Future Direction of Image Retrieval [article]

Hui Hui Wang, Dzulkifli Mohamad, N. A. Ismail
2010 arXiv   pre-print
Hence, introducing an interpretation inconsistency between image descriptors and high level semantics that known as the semantic gap.  ...  Drive towards semantic features is due to the problem of the keywords which can be very subjective and time consuming while low level features cannot always describe high level concepts in the users' mind  ...  Therefore, there is a need of image retrieval system that is capable to interpret the user query and automatically extract the semantic feature that can make the retrieval more efficient and accurate.  ... 
arXiv:1006.4568v1 fatcat:fr5yznvyrja7johscgmqjiuop4

Modeling Metrics for Service Interpretation

G. Shanmgasundaram, V. Prasanna Venkatesan, C. Punitha Devi
2012 Computer Science and Engineering  
Based on these metrics, a measure for service interpretability is proposed. To verify the effectiveness of our proposed metrics, an experiment has been designed and carried out.  ...  The result of the proposed metrics shows the effectiveness and improvement of service discovery which g ives exact matches to consumer requirements.  ...  The effect of FDV and QDM values for measuring service interpretation upon various registries is depicted in table 13 .  ... 
doi:10.5923/j.computer.20120206.06 fatcat:gej6nx2oebarxhbhosgc2iiuf4

From web tables to a knowledge graph: prospects of an end-to-end solution [article]

Alexey Shigarov, Nikita Dorodnykh, Alexander Yurin, Andrey Mikhailov, Viacheslav Paramonov
2021 figshare.com  
It generally requires reconstructing the semantics missing in web-tables to interpret them according to their meaning.  ...  In contrast to the table-specific proposals, our approach implies both the table analysis and the semantic table annotation.  ...  ).Effective and Efficient SemanticTable Interpretation Using TableMiner+.  ... 
doi:10.6084/m9.figshare.16621528.v1 fatcat:gwhxeemhqvds7d54dykreqez3a

Towards optimize-ESA for text semantic similarity: A case study of biomedical text

Khaoula Mrhar, Mounia Abik
2020 International Journal of Electrical and Computer Engineering (IJECE)  
Consequently, the ESA process is too expensive in interpretation and similarity steps. Therefore, the efficiency of ESA will slow down because we lose a lot of time in unnecessary operations.  ...  This paper propose enhancements to ESA called optimize-ESA that reduce the dimension at the interpretation stage by computing the semantic similarity in a specific domain.  ...  An efficient and effective algorithm was proposed in [12] , it's represent the meaning of a text by using the concepts that best match it.  ... 
doi:10.11591/ijece.v10i3.pp2934-2943 fatcat:3wiiprpkhrh5zfzlvcejiymhzi

Modeling Measures for Service Interpretation in Discoverability of Service Oriented Architecture

G. Shanmugasundaram, V. Prasanna Venaktesan, C. Punitha Devi
2013 Procedia - Social and Behavioral Sciences  
Based on these metrics, a measure for service interpretability is proposed. To verify the effectiveness of our proposed metrics, an experiment has been designed and carried out.  ...  These features have been considered as a focal point and a metric suite is proposed with the measures like described semantic elements, defined service operation, functional data value and so on.  ...  The effect of FDV and QDM values for measuring service interpretation upon various registries is depicted in table 4.  ... 
doi:10.1016/j.sbspro.2013.02.032 fatcat:wy3cpxrhrjhn3gfutkgihmzhry

Table Understanding: Rethinking of the Problem [article]

Alexey Shigarov
2021 figshare.com  
This report presents our rethinking of the Table Understanding problem  ...  Towards efficient and effective semantic table interpretation. The Semantic Web --ISWC 2014, 8796 LNCS, 487-502 (Zhang, 2017) Zhang, Z. (2017).  ...  Effective and efficient semantic table interpretation using TableMiner+. Semantic Web, vol. 8, no. 6, pp. 921-957 (Zhang&Balog, 2020) Zhang, S. & Balog, K. (2020).  ... 
doi:10.6084/m9.figshare.14836122.v1 fatcat:ommchmvvx5gfbdnmo5qebx5o4e

Building of intellectual web search engines through semantic web

2016 International Journal of Latest Trends in Engineering and Technology  
Semantic web search engines have been designed to efficiently search the data and retrieve the meaningful information intelligently.  ...  This paper is a survey of various semantic web search engines and the role they play in retrieving data intelligently. Also, various types of search engines are being discussed with their features  ...  The examination destination characterized toward those writers may be how to utilize a provided for table and An provided for Web-domain.  ... 
doi:10.21172/1.73.550 fatcat:z23ohcfvcna3pavfqlamsctewm

Disentangled Neural Architecture Search [article]

Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi
2020 arXiv   pre-print
excellent architectures under different FLOPS restrictions flexibly. 3) Dense-sampling leads to neural architecture search with higher efficiency and better performance.  ...  search process interpretable.  ...  We believe this work will lay the foundation for the interpretable neural architecture search, and contribute to further meaningful research.  ... 
arXiv:2009.13266v1 fatcat:uo4o26iwyvb23nmhhwbagxzx4u

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID [article]

Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li
2021 arXiv   pre-print
The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications.  ...  In this context, the benchmark datasets serve as essential prerequisites for developing and testing intelligent interpretation algorithms.  ...  Furthermore, it is crucial to consider the existence of annotation noise and develop noise-robust algorithms [212] , [213] to efficiently fade away its negative effects on RS image interpretation.  ... 
arXiv:2006.12485v2 fatcat:g54goum7wzhcllh46vn6plr5ra

Disentangled Latent Transformer for Interpretable Monocular Height Estimation [article]

Zhitong Xiong, Sining Chen, Yilei Shi, Xiao Xiang Zhu
2022 arXiv   pre-print
Studying the effects of different semantic classes, scales, and spatial contexts on height estimation; 3) Attribution: pixel-level analysis.  ...  Exploring the semantic and height selectivity of the learned internal deep representations; 2) Instances: object-level interpretation.  ...  This is a fundamental component towards an inherent interpretable machine learning model.  ... 
arXiv:2201.06357v2 fatcat:g3zpj7pr2fg2jhkau6t52wvaqy

Image Retrieval: Techniques, Challenge, And Trend

Hui Hui Wang, Dzulkifli Mohamad, N.A Ismail
2009 Zenodo  
Drive towards semantic features is due to the problem of the keywords which can be very subjective and time consuming while low level features cannot always describe high level concepts in the users- mind  ...  However, Image retrieval researches are moving from keyword, to low level features and to semantic features.  ...  Therefore, there is a need of image retrieval system that is capable to interpret the user query and automatically extract the semantic feature that can make the retrieval more efficient and accurate.  ... 
doi:10.5281/zenodo.1062632 fatcat:xyasbpivkza5hhpcwbbxuhqmge

OntoLife: an Ontology for Semantically Managing Personal Information [chapter]

Eleni Kargioti, Efstratios Kontopoulos, Nick Bassiliades
2009 IFIP Advances in Information and Communication Technology  
Ontologies, the primary knowledge representation tool for the Semantic Web, can play a significant role in semantically managing personal knowledge.  ...  The scope of this paper focuses on addressing the issue of effective personal knowledge management, by proposing an ontology for modelling the domain of biographical events.  ...  They are a key factor towards realizing the Semantic Web vision [1] , which promises to structure and semantically annotate raw information, to allow its interoperability, reuse and effective search by  ... 
doi:10.1007/978-1-4419-0221-4_16 fatcat:vk5qa65fnjhddi4xwziqhb3koq

ORFFM: An Ontology-based Semantic Model of River Flow and Flood Mitigation

Muhammad Hussain Mughal, Zubair Ahmed Shaikh, Asim Imdad Wagan, Zahid Hussain Khand, Saif Hassan
2021 IEEE Access  
We are thankful for the Center for Research in Ubiquitous Computing (CRUC) Mohammad Ali Jinnah University (Karachi) and Sukkur IBA University (Sukkur) for research facilities.  ...  Towards an extension of the ORFFM model, we covered semantic formalism, inferring, rule language, and formal logic along with semantic interpretation.  ...  The last row of the Table 9 is our proposed and developed ORFFM semantic model.  ... 
doi:10.1109/access.2021.3066255 fatcat:veko55whanfb7n7zskrc2t2tb4
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