{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:17:38Z","timestamp":1750306658070,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"Summer","license":[{"start":{"date-parts":[[2014,7,1]],"date-time":"2014-07-01T00:00:00Z","timestamp":1404172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGWEB Newsl."],"published-print":{"date-parts":[[2014,7]]},"abstract":"<jats:p>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. In this dissertation, we present a question answering system, which transforms user supplied queries (i.e. either natural language sentences or keywords) into conjunctive SPARQL queries over a set of interlinked data sources. The contribution of this work is as follows: 1. 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. 2. 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 by achieving 100% precision on QALD-1 and are able to perform as well as the best question answering system from the QALD-3 competition by answering 32 questions correctly.<\/jats:p>","DOI":"10.1145\/2641730.2641733","type":"journal-article","created":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T12:28:17Z","timestamp":1406636897000},"page":"1-1","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["\"SINA: semantic interpretation of user queries for question answering on interlinked data\" by Saeedeh Shekarpour with Prateek Jain as coordinator"],"prefix":"10.1145","volume":"2014","author":[{"given":"Saeedeh","family":"Shekarpour","sequence":"first","affiliation":[{"name":"Bonn University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u00f6ren","family":"Auer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,7]]},"container-title":["ACM SIGWEB Newsletter"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2641730.2641733","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2641730.2641733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:56:19Z","timestamp":1750229779000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2641730.2641733"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":0,"journal-issue":{"issue":"Summer","published-print":{"date-parts":[[2014,7]]}},"alternative-id":["10.1145\/2641730.2641733"],"URL":"https:\/\/doi.org\/10.1145\/2641730.2641733","relation":{},"ISSN":["1931-1745","1931-1435"],"issn-type":[{"type":"print","value":"1931-1745"},{"type":"electronic","value":"1931-1435"}],"subject":[],"published":{"date-parts":[[2014,7]]},"assertion":[{"value":"2014-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}