By Nicola Ferro
The examine domain names of data retrieval and databases have normally followed diversified techniques to details administration. even if, lately, there was an expanding cross-fertilization one of the fields and now many study demanding situations are transversal to them. With this in brain, a wintry weather college used to be geared up in Bressanone, Italy, in February 2013, in the context of the EU-funded learn venture PROMISE (Participative learn Laboratory for Multimedia and Multilingual details structures Evaluation). PROMISE aimed toward advancing the experimental overview of advanced multimedia and multilingual details platforms to be able to aid members, advertisement entities and groups, who layout, enhance, hire and enhance such advanced platforms. the general target of PROMISE was once to bring a unified setting gathering facts, wisdom, instruments and methodologies and to assist the consumer neighborhood fascinated with experimental evaluate. This booklet constitutes the result of the PROMISE wintry weather university 2013 and comprises nine invited lectures from the study domain names of data retrieval and databases plus brief papers of the easiest scholar poster awards. a wide number of issues are coated, together with databases, info retrieval, experimental assessment, metrics and records, semantic seek, key-phrase seek in databases, semi-structured seek, evaluate either in info retrieval and databases, crowdsourcing and social media.
Read or Download Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures PDF
Best storage & retrieval books
The publication offers an outstanding heritage for the JDE newcomer. The booklet has sections which are sturdy for the administrative sponsor and transitions into aspect solid for these really integrating. whereas now not anything that may make certain a profitable implementation, the ebook covers an important variety of key concerns and hazards that are meant to aid businesses during the implementation procedure.
Libraries have regularly been an notion for the factors and applied sciences built by way of semantic net actions. even if, with the exception of the Dublin center specification, semantic net and social networking applied sciences haven't been commonly followed and additional built by means of significant electronic library tasks and tasks.
What makes a website an online group? How have websites like Yahoo, iVillage, eBay, and AncientSites controlled to draw and hold a faithful following? How can net builders create turning out to be, thriving websites that serve a major functionality in people's lives? group development on the internet introduces and examines 9 crucial layout concepts for placing jointly shiny, welcoming on-line groups.
Schema matching is the duty of supplying correspondences among innovations describing the that means of information in numerous heterogeneous, disbursed info resources. Schema matching is among the simple operations required via the method of information and schema integration, and therefore has a very good influence on its results, even if those contain distinct content material supply, view integration, database integration, question rewriting over heterogeneous resources, replica facts removing, or computerized streamlining of workflow actions that contain heterogeneous information resources.
Extra info for Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures
Overview of the eighth text retrieval conference (trec8). In: NIST Special Publication 500-246: The Eighth Text REtrieval Conference (TREC 8), pp. 1–24 (2000) 29. , et al. ): CLEF 2008. LNCS, vol. 5706. Springer, Heidelberg (2009) 30. : Characterizing microblogs with topic models. In: ICWSM (2010) 31. : Structural analysis of chat messages for topic detection. Online Information Review, 496–516 (2006) 32. : Combining topic models and social networks for chat data mining. In: WI 2004: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, pp.
P 3r g n sin no n o rb rs Ve pe rm fo rb Ve b e iv ct je Ad e cl ti Ar l) n ra r tion o c ou lu N (p ion jun oun it n n os co pro ep b. ) (:) m m co n d rio lo co pe (c) high frequency punctuation (d) interjections, symbols and low frequency punctuation Fig. 7. POS analysis one grammatical category: the framework GATE 22 and its component ANNIE23 [35, 36] dedicated to this kind of analysis, called Part-Of-Speech (POS) analysis. In Figure 7 we report the results of the POS analysis of the full text on 30% of the documents in the collection, selected at random (since we did not ﬁnd signiﬁcant variation in the distributions with an higher subset).
Alternatively, Google refers to such semantics as knowledge graphs and to semantic search as “searching for things, not strings” . Semantic search requires some natural language processing techniques for understanding word meaning. Since some of the most frequently used searches are for persons, locations, organisations, and other named entities , one of the most widely used techniques for interpreting this meaning are named entity recognition  and semantic annotation . e. ) enables semantic search queries such as “LOC earthquake” which would return all documents mentioning a location and the word earthquake.
Bridging Between Information Retrieval and Databases: PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures by Nicola Ferro