@article{mansouri_samatova_korchiev_anyanwu_2023, title={DeMaTO: An Ontology for Modeling Transactional Behavior in Decentralized Marketplaces}, DOI={10.1109/WI-IAT59888.2023.00029}, abstractNote={Blockchains are distributed ledger platforms that were originally envisioned for implementing digital assets and cryptocurrencies such as BITCOIN. Mainstream blockchain platforms such as Ethereumand Hyperledgersupport both "native" transactional behavior i.e., transferring cryptocurrency assets, as well as, other types of transactional behavior relevant to an emerging class of applications called decentralized applications or DApps. However, "non-native" transactional behavior is achieved in terms of user-defined programs, commonly referred to as smart contracts. Unfortunately, smart contracts have several known limitations, including the burden on both implementor and contract consumers, being prone to financially-costly errors, higher cost of execution, and overall difficulty with concurrency optimization. Further, there is a lack of standardization with respect to implementation. Consequently, this contributes to the difficulty of enabling interoperability across blockchains. In this paper, we propose an ontology DeMaTO for modeling transactional behavior on blockchains as a foundation for extending blockchain transaction primitives. As an application context, we focus on marketplace transactions because marketplaces are one of the most popular categories of DApps, i.e., decentralized marketplaces. This modeling of transactional behavior complements the modeling supported by existing ontologies that focus on the infrastructure layer. We illustrate how DeMaTO can be used in blockchain transaction modeling and its value with respect to blockchain queryability and transaction validation.}, journal={2023 IEEE INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT}, author={Mansouri, Sogolsadat and Samatova, Vodelina and Korchiev, Nodirbek and Anyanwu, Kemafor}, year={2023}, pages={171–180} }
 @article{gao_korchiev_samatova_anyanwu_2020, title={Efficient Constrained Subgraph Extraction for Exploratory Discovery in Large Knowledge Graphs}, ISSN={["2639-1589"]}, DOI={10.1109/BigData50022.2020.9378338}, abstractNote={Knowledge graphs which often integrate heterogeneous data can be exploited for serendipitous knowledge discovery using appropriate integration paradigms. We posit that a semi-structured querying model which blends the benefits of structured and unstructured querying could offer a sweetspot. However, there is a need for effective algorithmic techniques for such query processing.In this paper, we propose a class of constrained subgraph connection structure discovery queries whose specification is only partially structured. Graph theoretically, these amount subgraph homeomorphism problems that tolerate flexibility in graph structure matching. Central to achieving the goals of performance and scale of query evaluation is the use of a path algebraic framework rather than a graph theoretic framework. The path algebraic framework is coupled with some efficient data encoding, representation and indexing. Together, these allow more effective querying than using the traditional graph traversal style algorithms, demonstrated by a comparative evaluation.}, journal={2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)}, author={Gao, Sidan and Korchiev, Nodirbek and Samatova, Vodelina and Anyanwu, Kemafor}, year={2020}, pages={623–630} }
 @article{meleshko_moshkin_pukhnachev_samatova_2019, title={On steady two-dimensional analytical solutions of the viscoelastic Maxwell equations}, volume={270}, ISSN={["1873-2631"]}, DOI={10.1016/j.jnnfm.2019.06.010}, abstractNote={Stationary two-dimensional flow near a free critical point of an incompressible viscoelastic Maxwell medium with upper, lower, and corotational convective derivatives in the rheological constitutive law is considered. Analysis of the analytical unstationary solution found earlier (S. V. Meleshko, N. P. Moshkin, and V. V. Pukhnachev, On exact analytical solutions of equations of Maxwell incompressible viscoelastic medium. Int. J. Non-Lin. Mech., 105:152–157, 2018) provides a new class of stationary solutions. The solutions found comprise both already known as well as substantially new solutions. Nonsingular solutions of the stress tensor at the critical point and bounded at infinity are constructed. Exact analytical formulae for the stress tensor with the Weissenberg number Wi=1/2 are obtained.}, journal={JOURNAL OF NON-NEWTONIAN FLUID MECHANICS}, author={Meleshko, S. and Moshkin, N. P. and Pukhnachev, V. V. and Samatova, V}, year={2019}, month={Aug}, pages={1–7} }