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Document similarity analysis is increasingly critical since roughly 80% of big data is unstructured. Accordingly, semantic couplings (relatedness) have been recognized valuable for capturing the relationships between terms (words or phrases). Existing work focuses more on explicit relatedness, with respective models built. In this paper, we propose a comprehensive semantic similarity measure: Semantic...
In the era of big data, massive educational resources are stored on the internet and mobile networks. However, most of these resources are heterogeneous and decentralized, they have different format. The resources are designed for humans to read and not understandable to the machine. Their low level sharing and reuse make them difficult to acquire. How to access the resources the users need quickly...
In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keywords matching, which can not fully take advantage of the information context and potential knowledge. Although in the later researches, Geo-ontology has been used to enrich geospatial objects...
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