Integrating explicit semantic analysis for ontology-based resource selection
Integrating explicit semantic analysis for ontology-based resource selection
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DOI：
10.1145/2095536.2095644
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Matthias Wauer;Daniel Schuster;A. Schill
中科院分区：
文献类型：
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作者：
Matthias Wauer;Daniel Schuster;A. Schill
在联邦信息系统中，决定一个信息源是否与给定的查询相关对于其整体性能至关重要。针对不合作的非结构化信息源，我们通过在联邦产品信息场景中对其进行评估，分析了流行的科里资源选择算法的几个缺点。基于这些结果，我们提出并描述了一种新的方法，使用基于本体的采样方法，这是用来初始化显式语义分析索引。
In federated information systems, deciding whether an information source is relevant for a given query is crucial for its overall performance. Focusing on uncooperative unstructured information sources, we analyze several drawbacks of the popular CORI resource selection algorithm by evaluating it in a federated product information scenario. Based on these results, we propose and describe a novel approach using an ontology-based sampling method, which is used to initialize an Explicit Semantic Analysis index.