Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analytics ...
Zaira Hassan Amur +4 more
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Search and analytics using semantic annotations [PDF]
Current information retrieval systems are limited to text in documents for helping users with their information needs. With the progress in the field of natural language processing, there now exists the possibility of enriching large document collections with accurate semantic annotations.
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A Semantic Data Model: Meaning Making from Data Structures in the SQL Server
Information systems designs are increasingly concerned with entity relationships and technical programmatic approaches to solutions architecture as opposed to semantic based, business focused information architecture that places business definitions at ...
Sanjay Ramesh, Anthony Henderson
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Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics
With the advent of wireless sensor networks and their deep integration with the world have enabled users worldwide to achieve benefits from location-based services through mobile applications, the problems such as low bandwidth, high network traffic, and
Rabia Hasan +5 more
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SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS [PDF]
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
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Graph NLU enabled question answering system
With a huge amount of information being stored as structured data, there is an increasing need for retrieving exact answers to questions from tables. Answering natural language questions on structured data usually involves semantic parsing of query to a ...
Sandeep Varma +4 more
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COGNITIVE GRAPHICS AND SEMANTIC MODELING FOR GEOSPATIAL SOLUTIONS IN ENERGY SECTOR
The author team proposes the integration of mathematical and semantic modeling and visual analytics techniques, including the use of geographic information technologies, to solve geospatial problems.
L. V. Massel, A. G. Massel, R. A. Ivanov
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INTEGRATION OF SEMANTIC 3D CITY MODELS AND 3D MESH MODELS FOR ACCURACY IMPROVEMENTS OF SOLAR POTENTIAL ANALYSES [PDF]
High-resolution 3D mesh models are an inexpensive and increasingly available data source for 3D models of cities and landscapes of high visual quality and rich geometric detail.
B. Willenborg, M. Pültz, T. H. Kolbe
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Suppressed semantic information accelerates analytic problem solving [PDF]
The present study investigated the limits of semantic processing without awareness, during continuous flash suppression (CFS). We used compound remote associate word problems, in which three seemingly unrelated words (e.g., pine, crab, sauce) form a common compound with a single solution word (e.g., apple). During the first 3 s of each trial, the three
Darya L, Zabelina +5 more
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Text Analytics: the convergence of Big Data and Artificial Intelligence
The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze ...
Antonio Moreno Sandoval +1 more
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