| 研究課題/領域番号 |
15K15994
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| 研究機関 | 国立研究開発法人産業技術総合研究所 |
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研究代表者 |
Lynden Steven 国立研究開発法人産業技術総合研究所, 人工知能研究センター, 研究員 (30528279)
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| 研究期間 (年度) |
2015-04-01 – 2017-03-31
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| キーワード | Semantic Web / Linked Open Data / Query Processing / Information Retrieval |
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| 研究実績の概要 |
In the first year of this two-year project, the underlying framework and algorithms for achieving best-effort query processing over distributed Semantic Web data (RDF/XML, RDFa etc.) were developed. This included: (1) Algorithms and infrastructure for retrieving, caching and integrating heterogeneous Semantic Web data. (2) Development of a set of similarity search-based strategies for live exploration-based querying of Semantic Web data. (3) Algorithms for optimising information retrieval related criteria including freshness, coverage and diversity when executing queries over distributed Semantic Web data.
The algorithms described above were tested empirically by executing test queries over the actual Semantic Web. Results showed that the developed techniques out-perform existing approaches by around 30% in scenarios where criteria of freshness, diversity or coverage need to optimised within fixed time constraints for queries over distributed Semantic Web data. These results were published in a paper accepted at an international conference (Web Intelligence, Mining and Semantics 2016).
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The first year of the research project progressed as planned, with significant results being published in an international conference. One of the fundamental questions that the research proposal aimed to answer, whether criteria such as freshness, diversity and coverage could be optimised during best-effort Linked Data query processing, was answered positively. Further development of the approach, and opportunities for future work are also evident.
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| 今後の研究の推進方策 |
Research in the second and final year of the project will focus on further developing the optimisation algorithms for best-effort query processing of Semantic Web data to develop a query processing framework capable of producing query results within time-frames that are usable for real-time, or near real-time, applications. A release of open-source software, to allow users and other researchers to utilise and extend the developed framework, is planned.
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| 次年度使用額が生じた理由 |
The cost of purchasing a high-end workstation for experiments was slightly under-estimated.
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| 次年度使用額の使用計画 |
The remaining budget will be used to purchase computing resources to execute data-intesive experiments, and for domestic and international travel to present research results etc.
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