Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

Basal-Ganglia

Keyphrase Extraction Using Knowledge GraphsAlthough lots of efforts have been made on keyphrase extraction, most of the existing methods (the co-occurrence based methods and the statistic-based methods) do not take semantics into full consideration. The co-occurrence based methods heavily depend on the co-occurrence relations between two wor

conspicuous

Keyphrase Extraction Using Knowledge GraphsAlthough lots of efforts have been made on keyphrase extraction, most of the existing methods (the co-occurrence based methods and the statistic-based methods) do not take semantics into full consideration. The co-occurrence based methods heavily depend on the co-occurrence relations between two wor

CIS

Semantic-Aware Partitioning on RDF Graphsficiently process complex queries on RDF graphs. It becomes necessary to use a distributed cluster to store and process large-scale RDF datasets that are required to be partitioned. In this paper, we propose a . method for RDF graphs. Inspired by the . algorithm, classes in the RDF . are ranked. A n

Graves’-disease

Semantic-Aware Partitioning on RDF Graphsficiently process complex queries on RDF graphs. It becomes necessary to use a distributed cluster to store and process large-scale RDF datasets that are required to be partitioned. In this paper, we propose a . method for RDF graphs. Inspired by the . algorithm, classes in the RDF . are ranked. A n

描述

An Incremental Algorithm for Estimating Average Clustering Coefficient Based on Random Walko compute clustering coefficient for the real-world networks, because many networks, such as Facebook and Twitter, are usually large and evolving continuously. Aiming to improve the performance of clustering coefficient computation for the large and evolving networks, we propose an incremental algor

記憶

BLA

Climate

Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graphhem with their friends. Accordingly, visual search from large scale image databases is getting more and more important. Hashing is an efficient technique to large-scale visual content search, and learning-based hashing approaches have achieved great success due to recent advancements of deep learnin

道學(xué)氣

使聲音降低

An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networkseen widely used to optimize performance. However, researchers are placing increased emphasis on internal relations of ontologies but neglect latent semantic relations between ontologies and documents. They generally annotate instances mentioned in documents, which are related to concepts in ontologi