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Question Answering on Interlinked Data
| Content Provider | CiteSeerX |
|---|---|
| Author | Ngonga, Axel-Cyrille Shekarpour, Saeedeh Auer, Sören |
| Abstract | The Data Web contains a wealth of knowledge on a large number of domains. Question answering over interlinked data sources is challenging due to two inherent characteristics. First, different datasets employ heterogeneous schemas and each one may only contain a part of the answer for a certain question. Second, constructing a federated formal query across different datasets requires exploiting links between the different datasets on both the schema and instance levels. We present a question answering system, which transforms user supplied queries (i.e. natural language sentences or keywords) into conjunctive SPARQL queries over a set of interlinked data sources. The contribution of this paper is two-fold: Firstly, we introduce a novel approach for determining the most suitable resources for a user-supplied query from different datasets (disambiguation). We employ a hidden Markov model, whose parameters were bootstrapped with different distribution functions. Secondly, we present a novel method for constructing a federated formal queries using the disambiguated resources and leveraging the linking structure of the underlying datasets. This approach essentially relies on a combination of domain and range inference as well as a link traversal method for constructing a connected graph which ultimately renders a corresponding SPARQL query. The results of our evaluation with three life-science datasets and 25 benchmark queries demonstrate the effectiveness of our approach. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Interlinked Data Source Novel Approach Link Traversal Method Disambiguated Resource Different Datasets Suitable Resource Benchmark Query Heterogeneous Schema Natural Language Sentence Life-science Datasets Novel Method Certain Question User Supplied Query Formal Query Hidden Markov Model Interlinked Data Instance Level User-supplied Query Inherent Characteristic Range Inference Linking Structure Large Number Conjunctive Sparql Query Different Distribution Function Data Source Underlying Datasets Corresponding Sparql Query Data Web |
| Content Type | Text |
| Resource Type | Article |
