Advances in Databases and Information Systems: 18th East by Yannis Manolopoulos, Goce Trajcevski, Margita Kon-Popovska

By Yannis Manolopoulos, Goce Trajcevski, Margita Kon-Popovska

This e-book constitutes the completely refereed lawsuits of the 18th East eu convention on Advances in Databases and data structures, ADBIS 2014, held in Ohrid, Macedonia, in September 2014. The 26 revised complete papers offered including one invited speak have been rigorously chosen and reviewed from eighty two submissions. The papers are equipped in topical sections on facts versions and question languages; information warehousing; question and data-flow optimization; info extraction and integration; spatial, temporal and streaming facts; facts mining and data discovery; info association and actual matters; and knowledge and enterprise processes.

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The logical implication of this kind of functional dependencies is decidable in quadratic time. Our model offers the tools for a normal form of XRelation. We think that the logical implication for the join dependency, defined here, is decidable similarly to Alg. 2. We would like to find the connection between our model and data words, that is, to define a register automaton that accepts those data words that satisfy a given functional dependency specified for the corresponding XRelation. References 1.

Let I1 and I2 be table instances for the regular XRelations XR (RE1 ) and XR (RE2 ), respectively, so that type (I1 ) = w1 and type (I2 ) = w2 , then we say that w1 and w2 (and also I1 and I2 ) can I2 as a (disjunctive joined) regular relational be joined. We define I = I1 instance, for which if t ∈ I, then there exist t1 ∈ I1 ,t2 ∈ I2 so that t1 [X1 ] = t2 [X2 ], then t [u] = t1 [u] |u ∈ (IN, . . , A) and t [u] = t2 [u] |u ∈ (B, . . , OU T ). Moreover, let t [A B] = {t [ApB] |ApB ∈ P (G1 ) ∪ P (G2 )}, then t [A B] = {t1 [AxB] ∪ t2 [AyB] |t1 [A] = t2 [A] , t1 [B] = t2 [B]}.

Technical Type. Technical types determine the physical representation of values. Value operations such as comparisons and arithmetic are defined on the level of technical types. 28 H. Voigt and W. 3 weight : int = 133 t4 : TV t5 : GPS name : str = LG 60LA7408 resolution : str = Full HD screen : int = 60 name : str = Garmin Dakota 20 weight : int = 150 t3 : Camera, GPS name : str = Canon EOS 6D resolution : int = 20 Fig. 1. 3, 133] , ⎪ ⎬ = [Canon EOS 6D, 20] , ⎪ ⎪ = [LG 60LA7408, Full HD, 60] , ⎪ ⎭ = [Garmin Dakota 20, 150] A = {aperture, name, resolution, screen, weight } T = {float, int , str } E = {Camera, GPS , Player , Phone, TV } Schema function: ⎫ ⎧ t1 → [name, resolution, aperture, weight] , ⎪ ⎪ ⎪ ⎪ ⎪ t2 → [name, resolution, screen, weight] , ⎪ ⎬ ⎨ t3 → [name, resolution] , fs = ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ t4 → [name, resolution, screen] , ⎭ ⎩ t5 → [name, weight ] Typing function: ⎧ (t1 , name) ⎪ ⎪ ⎪ (t2 , name) ⎨ (t3 , name) ft = ⎪ ⎪ ⎪ ⎩ (t4 , name) (t5 , name) → → → → → str , (t1 , resolution) → str , (t2 , resolution) → str , (t3 , resolution) → str , (t4 , resolution) → str , (t5 , weight ) → int Membership function: ⎫ ⎧ t1 → {Camera} , ⎪ ⎪ ⎪ ⎪ ⎪ ⎬ ⎨ t2 → {Camera, GPS, Phone} , ⎪ t3 → {Camera, GPS} , fm = ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ t4 → {TV } , ⎭ ⎩ t5 → {GPS} ⎫ float , (t1 , aperture) → float, (t1 , weight) → int , ⎪ ⎪ int , (t2 , screen) → double, (t2 , weight ) → int , ⎪ ⎬ int , ⎪ ⎪ str , (t4 , screen) → int , ⎪ ⎭ Fig.

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