Keyword search approach for knowledge base in ScholarSpace
Knowledge bases (KB) store large amount of structured information about the entities and their relationships.As the scale of KBs increased,their application also varied.On the other side,large amount of users describe their question or query intention by submitting keyword queries.Thus enabling KB t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2015-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015312/ |
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| Summary: | Knowledge bases (KB) store large amount of structured information about the entities and their relationships.As the scale of KBs increased,their application also varied.On the other side,large amount of users describe their question or query intention by submitting keyword queries.Thus enabling KB to answer these keyword queries becomes of crucial importance.A framework from building a Chinese KB to answering keyword search over it was established.A novel approach based on query template to translate the keyword queries into structured queries was proposed.A semantic based paraphrase and index approach to improve the result of query term mapping and an absent predicate index to deal with the predicate absence during the query translation step was proposed.Significant improvement of the ability of translating keyword query to structured query was achieved.Finally the framework and approach was implemented in the ScholarSpace system and get a good performance. |
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| ISSN: | 1000-436X |