lambaste
发表于 2025-3-26 23:37:15
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MAIZE
发表于 2025-3-27 01:19:36
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visceral-fat
发表于 2025-3-27 07:53:55
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COLIC
发表于 2025-3-27 11:33:41
An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matchingted in the knowledge base community. Studies reveal that there is no single taxonomy matcher suitable for any domain-specific taxonomy mapping, therefore an ensemble of taxonomy matchers is essential. In this paper, we propose taxonomy metamatching, a distributed computing framework for assembling t
drusen
发表于 2025-3-27 15:34:28
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Euphonious
发表于 2025-3-27 20:13:58
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群居动物
发表于 2025-3-28 01:30:10
Conference proceedings 2015ll papers and presented together with 3 industrial track papers and 7 demonstration track papers were carefully reviewed and selected from 146 submissions. The papers cover a wide spectrum of Web-related data management problems, and provide a thorough view on the rapid advances of technical solutio
食道
发表于 2025-3-28 03:36:44
Discovering Restricted Regular Expressions with Interleavinge, we develop an approximation algorithm and a heuristic solution to tackle the problem using techniques different from known inference algorithms. We do experiments on real-world data sets to demonstrate the effectiveness of our approaches. Our heuristic algorithm is shown to produce results that are very close to optimal.
Tinea-Capitis
发表于 2025-3-28 07:44:50
A Co-ranking Framework to Select Optimal Seed Set for Influence Maximization in Heterogeneous Networflexible and could adequately takes advantage of additional information implicit in the heterogeneous structure. We conduct extensive experiments using the data collected from ACM Digital Library, and the experimental results show that both the quality and the running time of the proposed algorithm rival the existing algorithms.
想象
发表于 2025-3-28 14:07:03
Hashtag Sense Induction Based on Co-occurrence Graphs co-occurring in the same tweet. A list of words with a high node degree representing a sense is extracted as a community of the graph. We take Wikipedia disambiguation list page as word sense inventory to refine the results by removing non-sense topics.