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Topic-based indexing of federated datasets
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019The increasing availability of open datasets calls for the adoption of novel query engines able to ease the retrieval of desired information from this huge amount of data. This paper proposes an in depth analysis of a topic-based indexing solution for building transparent, federated query engines for SPARQL.
Ester Giallonardo +2 more
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Enrico: A Dataset for Topic Modeling of Mobile UI Designs
22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020Topic modeling of user interfaces (UIs), also known as layout design categorization, contributes to a better understanding of the UI functionality. Starting from Rico, a large dataset of mobile UIs, we revised a random sample of 10k UIs and concluded to Enrico (shorthand of Enhanced Rico), a human-supervised high-quality dataset comprising 1460 UIs and
Luis A. Leiva +2 more
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Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset
2021 the 3rd International Conference on Big Data Engineering and Technology (BDET), 2021Twitter is one of the most popular online social networks. It has a relatively simple data model and an intuitive API to access Twitter data. This makes it easy to collect social data and analyse the patterns of online behaviour. Twitter has an impactful presence among politicians, entrepreneurs, news agencies, public figures, and this makes it a ...
Chandrasekaran, Vignesh Srinivasan
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Topic Summary Views for Exploration of Large Scholarly Datasets
Journal on Data Semantics, 2018In this article, we present the E-sch approach for exploration of large scholarly datasets based on topic summary views. The goal of E-sch is to semantically summarize the dataset related to a potentially very large number of scholar publications (e.g., millions) by a list of few thousands topics, up to an ultimate list of hundreds of topic summaries ...
S. Castano, A. Ferrara, S. Montanelli
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Topic Discovery and Topic-Driven Clustering for Audit Method Datasets
2011As the promotion of China's Golden Auditing Project and the fast growth of on-line auditing, there are thousands of new computer audit methods emerged every year to fulfill various needs of audit practices. How to organize these existing computer audit methods and use them intelligently have become a fundamental and challenging problem.
Wanyu Fu, Shaobin Huang, Ying Zhao
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MUSED: A multimedia multi-document dataset for topic segmentation
Natural Language Engineering, 2018AbstractResearch on topic segmentation has recently focused on segmenting documents by taking advantage of documents covering the same topics. In order to properly evaluate such approaches, a dataset of related documents is needed. However, existing datasets are limited in the number of related documents per domain.
Luísa Coheur +2 more
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Topic-Centric Recommender Systems for Bibliographic Datasets
2012In this paper, we introduce a novel and efficient approach for Recommender Systems in the academic world. With the world of academia growing at a tremendous rate, we have an enormous number of researchers working on hosts of research topics. Providing personalized recommendations to a researcher that could assist him in expanding his research base is ...
Kumar Shubhankar +2 more
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A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles
2014The increasing adoption of Linked Data principles has led to an abundance of datasets on the Web. However, take-up and reuse is hindered by the lack of descriptive information about the nature of the data, such as their topic coverage, dynamics or evolution. To address this issue, we propose an approach for creating linked dataset profiles.
Fetahu Besnik +5 more
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