By Nicola Ferro
The learn domain names of knowledge retrieval and databases have frequently followed varied methods to details administration. even though, in recent times, there was an expanding cross-fertilization one of the fields and now many examine demanding situations are transversal to them. With this in brain, a iciness university was once geared up in Bressanone, Italy, in February 2013, in the context of the EU-funded study undertaking PROMISE (Participative examine Laboratory for Multimedia and Multilingual info platforms Evaluation). PROMISE geared toward advancing the experimental overview of complicated multimedia and multilingual details structures for you to aid participants, advertisement entities and groups, who layout, increase, hire and increase such complicated structures. the final target of PROMISE was once to bring a unified atmosphere accumulating facts, wisdom, instruments and methodologies and to aid the person group fascinated by experimental evaluate. This e-book constitutes the result of the PROMISE iciness university 2013 and includes nine invited lectures from the study domain names of knowledge retrieval and databases plus brief papers of the simplest pupil poster awards. a wide number of subject matters are lined, together with databases, info retrieval, experimental overview, metrics and information, semantic seek, key-phrase seek in databases, semi-structured seek, evaluate either in info retrieval and databases, crowdsourcing and social media.
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Extra info for Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures
Modern Information Retrieval: The Concepts and Technology behind Search, 2nd edn. Addison-Wesley Professional (2011) 12. 0. In: 18th International World Wide Web Conference (2009) 13. : You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement. In: Proceedings of ACL 2008: HLT, pp. 834–842 (2008) 14. : Context-based message expansion for disentanglement of interleaved text conversations. In: NAACL 2009, pp. 200–208 (2009) 15. : Authorship attribution of irc messages using inverse author frequency.
English). In general, natural language search interfaces, while potentially useful for naive users, are still fairly experimental. g. g. [46, 47]). Using languagebased queries for retrieving semantic annotations and associated documents is a somewhat diﬀerent task, since the queries need to go beyond the ontology and into documents as well. The QuestIO system , for example, has an ontology modelling documents and the semantic annotations in them and uses it to help naive users to search through RDF annotations and get a list of matching documents back.
Bontcheva, V. Tablan, and H. Cunningham hybrid queries. The Semplore system , for example, uses conjunctive hybrid query graphs, similar to SPARQL, but enhanced with a “virtual” concept called keyword concept W . A similar approach has been taken in the Broccoli system , which has a special occurs − with relation, the value of which is the free text keyword. M´ımir3  has an even richer query language, which also supports the inclusion of linguistic annotations in queries. For example, a M´ımir query “PER says” will return documents where an entity of type Person is followed by the keyword says.