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The common understanding of generalization/specialization relations assumes the relation to be equally strong between a classifier and any of its related classifiers and also at every level of the hierarchy. Assigning a grade of relative distance to represent the level of similarity between the related pairs of classifiers could correct this situation, which has been considered as an oversimplification of the psychological account of the real-world relations. The paper aims to discuss these issues.

The evaluation followed an end-user perspective. In order to obtain a consistent data set of specialization distances, a group of 21 persons was asked to assign values to a set of relations from a selection of terms from the AGROVOC thesaurus. Then two sets of representations of the relations between the terms were built, one according to the calculated concept of specialization weights and the other one following the original order of the thesaurus. In total, 40 persons were asked to choose between the two sets following an A/B test-like experiment. Finally, short interviews were carried out after the test to inquiry about their decisions.

The results show that the use of this information could be a valuable tool for search and information retrieval purposes and for the visual representation of knowledge organization systems (KOS). Furthermore, the methodology followed in the study turned out to be useful for detecting inconsistencies in the thesaurus and could thus be used for quality control and optimization of the hierarchical relations.

The use of this relative distance information, namely, “concept specialization distance,” has been proposed mainly at a theoretical level. In the current experiment, the authors evaluate the potential use of this information from an end-user perspective, not only for text-based interfaces but also its application for the visual representation of KOS. Finally, the methodology followed for the elaboration of the concept specialization distance data set showed potential for detecting possible inconsistencies in KOS.

Large terminologies usually contain a mix of terms that are either generic or domain specific, which makes the use of the terminology itself a difficult task that may limit the positive effects of these systems. The purpose of this paper is to systematically evaluate the degree of domain specificity of the AGROVOC controlled vocabulary terms as a representative of a large terminology in the agricultural domain and discuss the generic/specific boundaries across its hierarchy.

A user-oriented study with domain-experts in conjunction with quantitative and systematic analysis. First an in-depth analysis of AGROVOC was carried out to make a proper selection of terms for the experiment. Then domain-experts were asked to classify the terms according to their domain specificity. An evaluation was conducted to analyse the domain-experts’ results. Finally, the resulting data set was automatically compared with the terms in SUMO, an upper ontology and MILO, a mid-level ontology; to analyse the coincidences.

Results show the existence of a high number of generic terms. The motivation for several of the unclear cases is also depicted. The automatic evaluation showed that there is not a direct way to assess the specificity degree of a term by using SUMO and MILO ontologies, however, it provided additional validation of the results gathered from the domain-experts.

The “domain-analysis” concept has long been discussed and it could be addressed from different perspectives. A resume of these perspectives and an explanation of the approach followed in this experiment is included in the background section.

The authors propose an approach to identify the domain specificity of terms in large domain-specific terminologies and a criterion to measure the overall domain specificity of a knowledge organisation system, based on domain-experts analysis. The authors also provide a first insight about using automated measures to determine the degree to which a given term can be considered domain specific. The resulting data set from the domain-experts’ evaluation can be reused as a gold standard for further research about these automatic measures.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

This chapter aims to investigate the driving forces in the creation of knowledge and in the process of innovation and the relevance of the governance model with respect to the free market model or the government model in the regulation of the knowledge and innovation networks.

According to a cognitive approach, a conflict is the result of a closer spatial distance between two actors or firms, leading to a contact stimulus and a reciprocal stimulus, which is perceived as a threat for the respective security or identity. This occurs when the two considered parties are characterised by a too large cognitive distance or a too different mindset or culture, which hinders collaboration.

This chapter highlights that the fragmentation of a modern knowledge economy and the pervasive conflicts between various interest groups, conflicts of interests in the roles of the same actors, bottlenecks, rents and income and power disparity in society require a new form of regulation, that is, multi-level governance and new instruments in innovation policies.

The governance or partnership model is based on the principles of negotiation, exchange and consensus, which are different from the principle of authority as in the planning model and from the principle of competition and survival of the fittest as in the free market model. Governance is an approach to the industrial policy that is more suitable to steer or manage a modern capitalist system and the knowledge and innovation networks that characterise this system.

The purpose of this paper is to merge the ontologies that remove the redundancy and improve the storage efficiency. The count of ontologies developed in the past few eras is noticeably very high. With the availability of these ontologies, the needed information can be smoothly attained, but the presence of comparably varied ontologies nurtures the dispute of rework and merging of data. The assessment of the existing ontologies exposes the existence of the superfluous information; hence, ontology merging is the only solution. The existing ontology merging methods focus only on highly relevant classes and instances, whereas somewhat relevant classes and instances have been simply dropped. Those somewhat relevant classes and instances may also be useful or relevant to the given domain. In this paper, we propose a new method called hybrid semantic similarity measure (HSSM)-based ontology merging using formal concept analysis (FCA) and semantic similarity measure.

The HSSM categorizes the relevancy into three classes, namely highly relevant, moderate relevant and least relevant classes and instances. To achieve high efficiency in merging, HSSM performs both FCA part and the semantic similarity part.

The experimental results proved that the HSSM produced better results compared with existing algorithms in terms of similarity distance and time. An inconsistency check can also be done for the dissimilar classes and instances within an ontology. The output ontology will have set of highly relevant and moderate classes and instances as well as few least relevant classes and instances that will eventually lead to exhaustive ontology for the particular domain.

In this paper, a HSSM method is proposed and used to merge the academic social network ontologies; this is observed to be an extremely powerful methodology compared with other former studies. This HSSM approach can be applied for various domain ontologies and it may deliver a novel vision to the researchers.

The HSSM is not applied for merging the ontologies in any former studies up to the knowledge of authors.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Despite persistent levels of participation in cycling, little research has been undertaken in the context of competitive cycling event management and marketing. This study explored participant preferences using conjoint measurement and plausible market segmentations. Results of the survey conducted at three southeastern US cycling events (N=199) suggest that travel distance has primacy across nearly all segment groups and differences in recreational specialisation in cycling are reflected among other preferred event attributes.

This study deals with the processes of innovation in the medium technology industrial sectors. First, it illustrates the differences between the linear model of innovation and the systemic and cognitive model of knowledge creation. Then, it focuses on the concepts of connectivity, creativity, and speed of change, which characterize the processes of interactive learning in the industrial clusters. Finally, it illustrates a typology of regions, where problems and policy fields are different, and it indicates the guidelines of a governance of interregional knowledge and innovation networks.

In order to guide the effective administration of an organization in an unfamiliar culture, it is incumbent on the educational administrator to become responsive to the new environment and initiate correspondingly appropriate administrative practices. A review of literature from management, administration and intercultural communication suggests a conceptual approach useful to the western trained educational administrator working in a less developed country. Practices which prove effective and are taken for granted in the administrator's native culture may prove ineffective or dysfunctional when applied elsewhere. On the other hand, practices that prove to be the most effective for a given cultural environment may appear either contradictory or counterproductive to the western trained administrator. Further, administrators may approach their new responsibilities from within a framework of norms and values which are in conflict with, or unrelated to those of the new environment. Existing societal conditions may present challenges to western bureaucratic models resulting in a discrepancy between formal power and actual power. Traditional status and authority bases contribute to differing concepts of participation, specialization, loyalty and motivation, as well as the degree to which an organization can tolerate decentralization. Although historically cultural dominance models guided cross‐cultural administration, initiatives and exchanges depend increasingly on mutual understanding and acceptance. The concept of cultural synergy suggests an interactive administrative model combining elements from two or more cultures and resulting in more effective and relevant outcomes.

The purpose of this paper is to present a new methodology to assess the outward connectivity among regional economies in the European Union (EU) and derives policy lessons for the design of regional innovation and competitiveness-enhancing strategic frameworks, with particular reference to research and innovation strategies for smart specialisation (RIS3).

The authors study the network of inter-regional trade flows in the EU25 in the year 2007. Trade data are taken from the PBL Netherlands Environmental Assessment Agency database and mapped onto weighted directed networks in which the nodes represent regions and the links are flows of goods. The authors measure several structural characteristics of the networks, both global properties and centrality indicators describing the position of individual regions within the system.

European regions appear to be mostly integrated in the European single market. Strengths and weaknesses of individual regions are discussed based on rankings obtained from network centrality indicators. Specific policy implications in the context of RIS3 are derived in the case of the Spanish region of Andalusia.

The authors show the potential of the methodology for providing a new family of indicators of the external connectivity of regional economies that can be used by regions wishing to develop their own RIS3 for 2014-2020, as required by the EU in the context of the new cohesion policy framework.

The characteristics of a EU-wide inter-regional network of trade flows are obtained and thoroughly discussed for the first time. A unique and original instrument suitable for inter-regional comparison is developed and tested.