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Alexei P. Stolboushkin

dblp:51/4285 · DBLP profile ↗
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15ranked-venue papers
11as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 11 · 8 first-authorDatabases, data management, data science and information retrieval · 4 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
11 papers
Logic in computer science · 44% Computational complexity · 36% Automata and formal languages · 7%
Databases, data mining, and information retrieval
5 papers
Information retrieval · 48% Data integration and cleaning · 24% Data models and query languages · 19%

Topics — the 29 heaviest of 32, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › entity resolution
duplicate detection
0.112007
Multiple-signal duplicate detection for search evaluation · SIGIR 2007
Information retrieval
evaluation
0.112007
Multiple-signal duplicate detection for search evaluation · SIGIR 2007
Information retrieval › evaluation › test collection
test collection quality
0.112007
Multiple-signal duplicate detection for search evaluation · SIGIR 2007
Data models and query languages › query language
finite queries
0.021999
Finite Queries Do Not Have Effective Syntax · Inf. Comput. 1999
Finite Queries do not Have Effective Syntax · PODS 1995
Logic in computer science
finite model theory
0.031995
Finitely Monotone Properties · LICS 1995
y = 2x vs. y = 3x · LICS 1993
Axiomatizable Classes of Finite Models and Definability of Linear Order · LICS 1992
Computational complexity
circuit complexity
0.021995
Finitely Monotone Properties · LICS 1995
y = 2x vs. y = 3x · LICS 1993
Computational complexity
query complexity
0.011999
Finite Queries Do Not Have Effective Syntax · Inf. Comput. 1999
Database theory
deductive database
0.011998
Safe Stratified Datalog with Integer Order Does Not Have Syntax · ACM Trans. Database Syst. 1998
Automata and formal languages › formal grammars
context-free grammar
0.011997
An Infinite Pebble Game and Applications · Inf. Comput. 1997
Algorithms and data structures › data structure design › search structures
indexing
0.011997
An Infinite Pebble Game and Applications · Inf. Comput. 1997
Computational complexity › space complexity
pebble game
0.011997
An Infinite Pebble Game and Applications · Inf. Comput. 1997
Logic in computer science
program logic
0.011997
An Infinite Pebble Game and Applications · Inf. Comput. 1997
Data models and query languages
query language
0.011996
Linear vs. Order Contstrained Queries Over Rational Databases · PODS 1996
Logic in computer science
first-order logic
0.011996
Linear vs. Order Contstrained Queries Over Rational Databases · PODS 1996
Computational complexity › descriptive complexity
query language expressiveness
0.011996
Linear vs. Order Contstrained Queries Over Rational Databases · PODS 1996
Algorithmic game theory and mechanism design › social choice
monotonicity
0.011995
Finitely Monotone Properties · LICS 1995
Computational complexity
undecidability
0.011995
Finite Queries do not Have Effective Syntax · PODS 1995
Logic in computer science › modal logic
dynamic logic
0.031989
Some Complexity Bounds for Dynamic Logics · LICS 1989
Deterministic Dynamic Logic is Strictly Weaker than Dynamic Logic · Inf. Control. 1983
Regular Dynamic Logic Is Not Interpretable in Deterministic Context-Free Dynamic Logic · Inf. Control. 1983
Logic in computer science › model theory
first-order definability
0.011993
y = 2x vs. y = 3x · LICS 1993
Computational complexity
lower bounds
0.011993
y = 2x vs. y = 3x · LICS 1993
Logic in computer science › model theory
axiomatizability
0.011992
Axiomatizable Classes of Finite Models and Definability of Linear Order · LICS 1992
Logic in computer science › model theory
definability
0.011992
Axiomatizable Classes of Finite Models and Definability of Linear Order · LICS 1992
Logic in computer science › model theory › axiomatizability
finite axiomatizability
0.011992
Axiomatizable Classes of Finite Models and Definability of Linear Order · LICS 1992
Combinatorics and discrete mathematics › partial orders
linear orders
0.011992
Axiomatizable Classes of Finite Models and Definability of Linear Order · LICS 1992
Logic in computer science
modal logic
0.011989
Some Complexity Bounds for Dynamic Logics · LICS 1989
Data models and query languages › query language
relational calculus
0.011995
Finite Queries do not Have Effective Syntax · PODS 1995
Automata and formal languages
context-free languages
0.011983
Regular Dynamic Logic Is Not Interpretable in Deterministic Context-Free Dynamic Logic · Inf. Control. 1983
Automata and formal languages › context-free languages
deterministic context-free languages
0.011983
Regular Dynamic Logic Is Not Interpretable in Deterministic Context-Free Dynamic Logic · Inf. Control. 1983
Computational complexity › descriptive complexity
expressive power
0.011983
Deterministic Dynamic Logic is Strictly Weaker than Dynamic Logic · Inf. Control. 1983

Methods — techniques the papers use, named apart from their topics

pairwise signals · 0.1machine learning · 0.1extended fetching · 0.1recursion theory · 0.1equivalence proof · 0.0order-preserving permutations · 0.0model theory · 0.0decidability analysis · 0.0pebble game · 0.0infinite graphs · 0.0fraisse-ehrenfeucht games · 0.0combinatorial proof · 0.0first-order logic with linear ordering · 0.0
YearPublicationVenuePosition
2007 Multiple-signal duplicate detection for search evaluation
abstract
We consider the problem of duplicate document detection for search evaluation. Given a query and a small number of web results for that query, we show how to detect duplicate web documents with precision ~0.91 and recall ~77. In contrast, Charikar's algorithm, designed for duplicate detection in an indexing pipeline, achieves precision ~0.91 but with a recall of ~0.58. Our improvement in recall while maintaining high precision comes from combining three ideas. First, because we are only concerned with duplicate detection among results for the same query, the number of pairwise comparisons is small. Therefore we can afford to compute multiple pairwise signals for each pair of documents. A model learned with standard machine-learning techniques improves recall to ~0.68 with precision ~0.90. Second, most duplicate detection has focused on text analysis of the HTML contents of a document. In some web pages the HTML is not a good indicator of the final contents of the page. We use extended fetching techniques to fill in frames and execute Java script. Including signals based on our richer fetches further improves the recall to ~0.75 and the precision to ~0.91. Finally, we also explore using signals based on the query. Comparing contextual snippets based on the richer fetches improves the recall to ~0.77. We show that the overall accuracy of this final model approaches that of human judges.
Scott B. Huffman, April Rasala Lehman, Alexei P. Stolboushkin, Howard Wong-Toi, Hein Röhrig
SIGIR3
1999 Extended Order-Generic Queries
Oleg V. Belegradek, Alexei P. Stolboushkin, Michael A. Taitslin
Ann. Pure Appl. Log.2
1999 Finite Queries Do Not Have Effective Syntax
Alexei P. Stolboushkin, Michael A. Taitslin
Inf. Comput.1
1998 Safe Stratified Datalog with Integer Order Does Not Have Syntax
abstract
Stratified Datalog with integer (gap)-order (or Datalog ¬,< z ) is considered. A Datalog ¬,< z -program is said to be safe if its bottom-up processing terminates on all valid inputs. We prove that safe Datalog ¬,< z programs do not have effective syntax in the sense that there is no recursively enumerable set S of safe Datalog ¬,< z programs such that every safe Datalog ¬,< z program is equivalent to a program in S .
Alexei P. Stolboushkin, Michael A. Taitslin
ACM Trans. Database Syst.1
1997 An Infinite Pebble Game and Applications
abstract
We generalize the pebble game to infinite directed acyclic graphs and use this generalization to give new and shorter proofs of the following well-known results: (1) that unbounded memory increases the power of logics of programs, and (2) that there exists a context-free grammar with infinite index.
Assaf J. Kfoury, Alexei P. Stolboushkin
Inf. Comput.2
1997 y = 2x vs. y = 3x
abstract
Abstract We show that no formula of first order logic using linear ordering and the logical relationy= 2xcan define the property that the size of a finite model is divisible by 3. This answers a long-standing question which may be of relevance to certain open problems in circuit complexity.
Alexei P. Stolboushkin, Damian Niwinski
J. Symb. Log.1
1996 Linear vs. Order Contstrained Queries Over Rational Databases
abstract
We consider relational databases organized over an ordered domain with some additional relations---a typical example is the ordered domain of rational numbers together with the ternary relation + of addition. In the focus of our study are the first order queries that are invariant under order-preserving "permutations"---such queries are called (order-)generic. We show that for an arbitrary ordered divisible Abelian group order-generic queries fail to express more than pure order queries, and that, moreover, the generic queries can be effectively translated into pure order queries. For example, every order-generic query over rational numbers with + can be effectively rewritten without +. An important difference of this paper from a recent series of related pape...
Alexei P. Stolboushkin, Michael A. Taitslin
PODS1
1995 Finitely Monotone Properties
abstract
A characterization of definability by positive first order formulas in terms of Fraisse-Ehrenfeucht-like games is developed. Using this characterization, an elementary, purely combinatorial, proof of the failure of Lyndon's Lemma (1959) (that every monotone first order property is expressible positively) for finite models is given. The proof implies that first order logic is a bad candidate for the role of a uniform version of positive Boolean circuits of constant depth and polynomial size. Although Lyndon's Lemma fails for finite models, same similar characterization may be established for finitely monotone properties, and we formulate a particular open problem in this direction.
Alexei P. Stolboushkin
LICS1
1995 Finite Queries do not Have Effective Syntax
abstract
A relational query is called finite, or sometimes safe, iff it yields a finite answer in every database state.The set of finite queries of relational calculus is known to be unsolvable.However, in many cases it is possible to impose syntactical restrictions on the class of queries that guarantee finiteness and do not reduce the expressive power of the calculus.We show that unfortunately this is not always the case, as we construct a recursive domain with decidable theory where any solvable (or enumerable, for that matter) subclsss of queries either contains an infinite query, or misses a finite one.Using the same example, we further show undecidability of the problem of state-jinitene.w,which is, given a query and a database state, to decide upon finiteness of the query in this state.ThB settles two long-standing open problems in the theory of relational databases.
Alexei P. Stolboushkin, Michael A. Taitslin
PODS1
1993 y = 2x vs. y = 3x
abstract
It is shown that no formula of first-order logic using linear ordering and the logical relation y=2x can define the property that the size of a finite model is divisible by 3. This answers a long-standing question that may be of relevance to certain open problems in circuit complexity.>
Damian Niwinski, Alexei P. Stolboushkin
LICS2
1992 Axiomatizable Classes of Finite Models and Definability of Linear Order
abstract
It may happen that a first order formula with two free variables over a signature defines a linear order of some finite structure of the signature. Then, naturally, this finite structure is rigid, i.e. admits the single (trivial) automorphism. Also, the class of all the finite structures such that the formula defines a linear order on any of them, is finitely axiomatizable in the class of all finite structures (of the signature). It is shown that the inverse is not true, i.e. that there exists a finitely axiomatizable class of rigid finite structures, such that no first-order formula defines a linear order on all the structures of the class. To illustrate possible applications of the result in finite model theory, it is shown that Y. Gurevich's (1984) result that E.W. Beth's (1953) definability theorem fails for finite models is an immediate corollary.>
Alexei P. Stolboushkin
LICS1
1989 Some Complexity Bounds for Dynamic Logics
abstract
The class of so called Adian's structures with pairwise different exponents is considered. It is known that both deterministic dynamic logic (DDL) and context-free DDL (CF-DDL) have an unwind property in every structure Gamma in the class; thus they are equivalent in Gamma to first-order logic. None the less, it turns out that these three logics have different complexity bounds in the class. The main result is to prove polynomial upper bounds for DDL formulas. As a corollary, the authors find the DDL and CF-DDL are unequivalent to one another in the class. The proof remains valid even in the presence of elementary tests and rich tests.>
Alexei P. Stolboushkin
LICS1
1983 Regular Dynamic Logic Is Not Interpretable in Deterministic Context-Free Dynamic Logic
Alexei P. Stolboushkin
Inf. Control.1
1983 Deterministic Dynamic Logic is Strictly Weaker than Dynamic Logic
Alexei P. Stolboushkin, Michael A. Taitslin
Inf. Control.1
1983 The Comparison of the Expressive Power of First-Order Dynamic Logics
Alexei P. Stolboushkin, Michael A. Taitslin
Theor. Comput. Sci.1