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Showing papers by "Pavel Shvaiko published in 2010"


Proceedings Article
07 Nov 2010
TL;DR: The OAEI-2010 campaign as mentioned in this paper has four tracks with 6 test cases followed by 15 participants and introduces a new evaluation modality in association with the SEALS project, which provides more automation to the evaluation and more direct feedback to the participants.
Abstract: Ontology matching consists of finding correspondences between entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. Test cases can use ontologies of different nature (from simple directories to expressive OWL ontologies) and use different modalities, e.g., blind evaluation, open evaluation, consensus. OAEI-2010 builds over previous campaigns by having 4 tracks with 6 test cases followed by 15 participants. This year, the OAEI campaign introduces a new evaluation modality in association with the SEALS project. A subset of OAEI test cases is included in this new modality which provides more automation to the evaluation and more direct feedback to the participants. This paper is an overall presentation of the OAEI 2010 campaign.

74 citations


Book ChapterDOI
01 Jan 2010
TL;DR: This chapter first overviews the state of the art in the ontology matching field, then basic and optimized algorithms for semantic matching as well as their implementation within the S-Match system are presented, and the approach is evaluated against state ofThe art systems, thereby justifying empirically the strength of the approach.
Abstract: We view matching as an operation that takes two graph-like structures (e.g., lightweight ontologies) and produces an alignment between the nodes of these graphs that correspond semantically to each other. Semantic matching is based on two ideas: (i) we discover an alignment by computing semantic relations (e.g., equivalence, more general); (ii) we determine semantic relations by analyzing the meaning (concepts, not labels) which is codified in the entities and the structures of ontologies. In this chapter, we first overview the state of the art in the ontology matching field. Then we present basic and optimized algorithms for semantic matching as well as their implementation within the S-Match system. Finally, we evaluate S-Match against state of the art systems, thereby justifying empirically the strength of the approach.

30 citations


01 May 2010
TL;DR: This paper reports on the implementation of a semantic geocatalogue for the spatial data infrastructure (SDI) of the Trentino region, Italy.
Abstract: In this paper we report our work on the implementation of a semantic geocatalogue for the spatial data infrastructure (SDI) of the Trentino region, Italy.

24 citations


Book ChapterDOI
30 May 2010
TL;DR: A scenario of the ICT regional demand in Trentino, Italy; where the main idea of territorial innovation is based on the so-called innovation tripole, and the implementation of the tripole generation within the TasLab portal is described.
Abstract: In this paper we present a concrete case study in which semantic technology has been used to enable a territorial innovation. Firstly, we describe a scenario of the ICT regional demand in Trentino, Italy; where the main idea of territorial innovation is based on the so-called innovation tripole. Specifically, we believe that innovation arises as a result of the synergic coordination and technology transfer among three main innovation stakeholders: (i) final users, bringing domain knowledge, (ii) enterprises and SMEs, bringing knowledge of the market, and (iii) research centers, bringing the latest research results. The tripole is instantiated/generated for innovation projects, and, technically, can be viewed as a competence search (based on metadata) among the key innovation stakeholders for those projects. Secondly, we discuss the implementation of the tripole generation within the TasLab portal, including the use of domain ontologies and thesauri (e.g., Eurovoc), indexing and semantic search techniques we have employed. Finally, we provide a discussion on empirical and strategic evaluation of our solution, the results of which are encouraging.

10 citations


Proceedings ArticleDOI
21 Jun 2010
TL;DR: The TasLab portal is implemented, with the aim of promoting the synergic coordination and technology transfer among the three main innovation stakeholders that form the so-called innovation tripole: final users, bringing domain knowledge and expectations, enterprises and SMEs, bringing knowledge of the market, and research centres, bringing the latest research results.
Abstract: In this paper we present our experience with fostering collaborative innovation within the Trentino as a Lab (TasLab) environment, by creating the conditions for a successful integration of the innovation stakeholders in Trentino, Italy. In order to technically foster innovation we have implemented the TasLab portal, with the aim of promoting the synergic coordination and technology transfer among the three main innovation stakeholders that form the so-called innovation tripole: (i) final users, bringing domain knowledge and expectations, (ii) enterprises and SMEs, bringing knowledge of the market, and (iii) research centres, bringing the latest research results. The portal provides various functionalities related to collaborative innovation, including semi-automatic innovation tripole generation from the user created content, semantic search and so on. Finally, we discuss some implications of the approach implemented on the body of knowledge on innovation and concurrent enterprising.

9 citations


Book ChapterDOI
01 Jan 2010
TL;DR: This chapter presents a collection of application fields and use cases from enterprises which are interested in the promises of Semantic Web technology, and ongoing work in the cross-fertilization between industry and academia is presented.
Abstract: Semantic Web technology is being increasingly applied in a large spectrum of applications in which domain knowledge is conceptualized and formalized (e.g., by means of an ontology) in order to support diversified and automated knowledge processing (e.g., reasoning) performed by a machine. Moreover, through an optimal combination of (cognitive) human reasoning and (automated) machine processing (mimicking reasoning); it becomes possible for humans and machines to share more and more complementary tasks. The spectrum of applications is extremely large and to name a few: corporate portals and knowledge management, e-commerce, e-work, e-business, healthcare, e-government, natural language understanding and automated translation, information search, data and services integration, social networks and collaborative filtering, knowledge mining, business intelligence and so on. From a social and economic perspective, this emerging technology should contribute to growth in economic wealth, but it must also show clear cut value for everyday activities through technological transparency and efficiency. The penetration of Semantic Web technology in industry and in services is progressing slowly but accelerating as new success stories are reported. In this chapter we present ongoing work in the cross-fertilization between industry and academia. In particular, we present a collection of application fields and use cases from enterprises which are interested in the promises of Semantic Web technology.

7 citations


Book ChapterDOI
01 Jan 2010
TL;DR: The focus of the chapter is on formulation of e-GIF4M, E-government Interoperability Framework for Mozambique, based on a holistic approach, which is needed for making interoperability sustainable within developing countries within those countries.
Abstract: Harmonizing decentralized development of ICT solutions with centralized strategies, e.g., meant to favor reuse and optimization of resources, is a complex technical and organizational challenge. The problem, shared by virtually all the governments, is becoming a priority also for developing countries, such as Mozambique, that have started their ICT policy relatively recently and for which it is now evident that—if no particular attention is devoted to the interoperability of the ICT solutions being developed—the result will rapidly become a patchwork of solutions incompatible with each other. The focus of the chapter is on formulation of e-GIF4M, E-government Interoperability Framework for Mozambique. The framework is based on a holistic approach, which we believe is needed for making interoperability sustainable within those countries. It builds on top of the existing experiences in e-GIFs all over the world, but it addresses some specific needs and peculiarities of the developing countries. The result is a comprehensive framework based on (i) a reference service delivery architecture along with technical standards, (ii) a standardization life cycle, (iii) a maturity model, and (iv) some key actions meant to make the initiative sustainable in the longer term.

3 citations