A Large Scale Dataset for the Evaluation of Ontology Matching Systems

Recently, the number of ontology matching techniques and systems has increased significantly. This makes the issue of their evaluation and comparison more severe. One of the challenges of the ontology matching evaluation is in building large scale evaluation datasets. In fact, the number of possible correspondences between two ontologies grows quadratically with respect to the numbers of entities in these ontologies. This often makes the manual construction of the evaluation datasets demanding to the point of being infeasible for large scale matching tasks. In this paper we present an ontology matching evaluation dataset composed of thousands of matching tasks, called TaxME2. It was built semi-automatically out of the Google, Yahoo and Looksmart web directories. We evaluated TaxME2 by exploiting the results of almost two dozen of state of the art ontology matching systems. The experiments indicate that the dataset possesses the desired key properties, namely it is error-free, incremental, discriminative, monotonic, and hard for the state of the art ontology matching systems. The paper has been accepted for publication in "The Knowledge Engineering Review", Cambridge Universty Press (ISSN: 0269-8889, EISSN: 1469-8005)

Ontology matching: state of the art and future challenges

shvaiko2013aInternational audienceAfter years of research on ontology matching, it is reasonable to consider several questions: is the field of ontology matching still making progress? Is this progress significant enough to pursue some further research? If so, what are the particularly promising directions? To answer these questions, we review the state of the art of ontology matching and analyze the results of recent ontology matching evaluations. These results show a measurable improvement in the field, the speed of which is albeit slowing down. We conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching. We present such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field

Managing polyglot systems metadata with hypergraphs

A single type of data store can hardly fulfill every end-user requirements in the NoSQL world. Therefore, polyglot systems use different types of NoSQL datastores in combination. However, the heterogeneity of the data storage models makes managing the metadata a complex task in such systems, with only a handful of research carried out to address this. In this paper, we propose a hypergraph-based approach for representing the catalog of metadata in a polyglot system. Taking an existing common programming interface to NoSQL systems, we extend and formalize it as hypergraphs for managing metadata. Then, we define design constraints and query transformation rules for three representative data store types. Furthermore, we propose a simple query rewriting algorithm using the catalog itself for these data store types and provide a prototype implementation. Finally, we show the feasibility of our approach on a use case of an existing polyglot system.Peer ReviewedPostprint (author's final draft

S-Match: an algorithm and an implementation of semantic matching

We think of Match as an operator which takes two graph-like structures and produces a mapping between those nodes of the two graphs that correspond semantically to each other. Semantic matching is a novel approach where semantic correspondences are discovered by computing and returning as a result, the semantic information implicitly or explicitly codified in the labels of nodes and arcs. In this paper we present an algorithm implementing semantic matching, and we discuss its implementation within the S-Match system. We also test S-Match against three state of the art matching systems. The results, though preliminary, look promising, in particular for what concerns precision and recall

Sex particularities of evoked brain functioning during orientating and investigating activity

В результаті дослідження встановлено, що у дітей 12-13 років при орієнтувально-дослідницькій діяльності в процесі сприйняття й обробки інформації більш активними є задньоасоціативні ділянки кори головного мозку правої півкулі (скронево-тім’яно-потилична зона). У групі хлопців сприйняття та обробка інформації здійснювалась за рахунок вираженої функціональної асиметрії (за інтенсивністю ВП), що з’являється на етапі інформаційного синтезу, тоді як у дівчат міжпівкулевої асиметрії не виявлено. ФМВА локалізувався у задньоасоціативних структурах кори головного мозку, з перевагою правої півкулі, до яких у групі хлопців долучалась ліва лобова частка на етапі категоризації стимулу. It was established in the investigation that in 12-13 year old children, the back associative sections of the right hemisphere of the cerebral cortex (temple- parietal-occipital zone) are more active in the process of the perception and processing of information during orientating and investigating activity. The perception and processing of information in the boys’ group was accomplished by pronounced functional asymmetry (according to the intensity of evoked potentials) which appears at the stage of the information synthesis, whereas no hemisphere asymmetry was found in girls. Maximum evoked activity focus was localized in the back associative structures of the cerebral cortex, preferentially of the right hemisphere. In the boys’ group these were joined by the left frontal section at the stage of the stimulus categorization

Ways to improve innovative policy in the Republic of Belarus

The issues related to innovation and the implementation of state innovation policy are extremely relevant in the conditions of the modern Republic of Belarus. Innovation plays an extremely important role in ensuring the economic development of the state. Currently, it is an effective innovation policy that determines the level of competitiveness of national goods and the entire economy of the country as a whole in a globalizing world system

Outsourcing: its concept and types

The article defines outsourcing, a new form of development of industrial and economic relations, which is used in various activities. The main reasons for the transition of organizations to outsourcing are highlighted

Guest editorial preface of the special issue on Ontology matching

shvaiko2007cEditorial, International journal of semantic web and information systems 3(2):i-ii

Outsourcing: its concept and types

The article defines outsourcing, a new form of development of industrial and economic relations, which is used in various activities. The main reasons for the transition of organizations to outsourcing are highlighted

Ways to improve innovative policy in the Republic of Belarus

The issues related to innovation and the implementation of state innovation policy are extremely relevant in the conditions of the modern Republic of Belarus. Innovation plays an extremely important role in ensuring the economic development of the state. Currently, it is an effective innovation policy that determines the level of competitiveness of national goods and the entire economy of the country as a whole in a globalizing world system