Results 1 to 10 of about 190,426 (167)
A Machine Learning Based Analytical Framework for Semantic Annotation Requirements [PDF]
International Journal of Web & Semantic Technology (IJWesT), Vol.
2, No. 2, pp. 27-38, Aprill 2011, 2011 The Semantic Web is an extension of the current web in which information is given well-defined meaning. The perspective of Semantic Web is to promote the quality and intelligence of the current web by changing its contents into machine understandable form. Therefore, semantic level information is one of the cornerstones of the Semantic Web. The process
Hamed Hassanzadeh +1 more
arxiv +2 more sources
SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 This paper presents the semantic indexing of TerraSAR-X images and in situ data. Image processing together with machine learning methods, relevance feedback techniques, and human expertise are used to annotate the image content into a land use land cover
D. Espinoza Molina, K. Alonso, M. Datcu
doaj +3 more sources
Semantics in the Deep: Semantic Analytics for Big Data [PDF]
Data, 2019 One cannot help but classify the continuous birth and demise of Artificial Intelligence (AI) trends into the everlasting theme of the battle between connectionist and symbolic AI [...]
Dimitrios Koutsomitropoulos +2 more
doaj +2 more sources
Leveraging deep contrastive learning for semantic interaction [PDF]
PeerJ Computer Science, 2022 The semantic interaction process seeks to elicit a user’s mental model as they interact with and query visualizations during a sense-making activity.
Mahdi Belcaid +2 more
doaj +2 more sources
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
doaj +1 more source
Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles [PDF]
Semantic Web, vol. 13, no. 3, pp. 571-597, 2022, 2023 Tabular data plays an essential role in many data analytics and machine learning tasks. Typically, tabular data does not possess any machine-readable semantics. In this context, semantic table interpretation is crucial for making data analytics workflows more robust and explainable.
arxiv +1 more source
A Web3.0-based Intelligent Learning System Supporting Education in the 21st Century [PDF]
Journal of Universal Computer Science, 2019 The aim of the paper is to describe the design of a Web 3.0-based Intelligent Learning System (ILS) that addressing the students' needs in the 21st century.
Khaled Halimi +1 more
doaj +3 more sources
Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces
Big Data and Cognitive Computing, 2021 Semantic trajectory analytics and personalised recommender systems that enhance user experience are modern research topics that are increasingly getting attention.
Sotiris Angelis +2 more
doaj +1 more source
WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics
Mathematics, 2020 Given the huge amount of heterogeneous data stored in different locations, it needs to be federated and semantically interconnected for further use. This paper introduces WINFRA, a comprehensive open-access platform for semantic web data and advanced ...
Addi Ait-Mlouk, Xuan-Son Vu, Lili Jiang
doaj +1 more source
The Austrian Semantic EO Data Cube Infrastructure
Remote Sensing, 2021 Big optical Earth observation (EO) data analytics usually start from numerical, sub-symbolic reflectance values that lack inherent semantic information (meaning) and require interpretation.
Martin Sudmanns +4 more
doaj +1 more source