Internet search:subdivision-based interactive query expansion and the soft semantic web

The expansion of the Internet has made the task of searching a crucial one. Internet users, however, have to make a great effort in order to formulate a search query that returns the required results. Many methods have been devised to assist in this task by helping the users modify their query to give better results. In this paper we propose an interactive method for query expansion. It is based on the observation that documents are often found to contain terms with high information content, which can summarise their subject matter. We present experimental results, which demonstrate that our approach significantly shortens the time required in order to accomplish a certain task by performing web searches.

Semisupervised learning of hierarchical latent trait models for data visualization

Recently, we have developed the hierarchical Generative Topographic Mapping (HGTM), an interactive method for visualization of large high-dimensional real-valued data sets. In this paper, we propose a more general visualization system by extending HGTM in three ways, which allows the user to visualize a wider range of data sets and better support the model development process. 1) We integrate HGTM with noise models from the exponential family of distributions. The basic building block is the Latent Trait Model (LTM). This enables us to visualize data of inherently discrete nature, e.g., collections of documents, in a hierarchical manner. 2) We give the user a choice of initializing the child plots of the current plot in either interactive, or automatic mode. In the interactive mode, the user selects "regions of interest," whereas in the automatic mode, an unsupervised minimum message length (MML)-inspired construction of a mixture of LTMs is employed. The unsupervised construction is particularly useful when high-level plots are covered with dense clusters of highly overlapping data projections, making it difficult to use the interactive mode. Such a situation often arises when visualizing large data sets. 3) We derive general formulas for magnification factors in latent trait models. Magnification factors are a useful tool to improve our understanding of the visualization plots, since they can highlight the boundaries between data clusters. We illustrate our approach on a toy example and evaluate it on three more complex real data sets. © 2005 IEEE.

The social and entrepreneurial orientation of small businesses:mutually exclusive or reinforcing? (INTERACTIVE PAPER)

Principal Topic - As argued by Acs and Phillips (2002) it is not only “the creation of wealth (entrepreneurship)” but also “the reconstitution of wealth (philanthropy)”, which has been essential for the inherent dynamism of the market economy (Ibid., p.201). However, we understand little about the entrepreneurship – philanthropy link in institutional contexts that differ from that of leading developed market economies. Accordingly our research agenda is to investigate the entrepreneurship-philanthropy nexus in a very different context of Lithuania, a country which shed a command economy system twenty years ago. In particular, we are interested to see if the cluster of attitudes and strategies of firms conducive to entrepreneurship, i.e. their entrepreneurial orientation (Covin & Slevin, 1989), is consistent or contradictory with philanthropy? In other words, is philanthropy strongly associated with some core components of entrepreneurship, or is it an entrepreneurial anomaly, relying on a minority of economic actors that provide important links with wider, non-economic communities. Method - The study draws on 270 randomly sampled, phone interviews with owners and ownermanagers of small and medium-sized enterprises (SMEs), i.e. firms with less than 250 employees. Interviews were conducted in Lithuania during January- March, 2008. Our results are based on confirmatory factor analysis combined with regression analysis. Results and Implications - Despite the legacy of informal institutions that is conducive neither to entrepreneurship nor to civic society, we found that by now, (i) the companies that score highest on entrepreneurial orientation construct, (ii) that perform best and those (iii) that have foreign owners are also most likely to declare their commitment to philanthropy. Our findings that most entrepreneurial firms are also involved in philanthropy are consistent with the perspective on the pattern of development in an entrepreneurial economy as outlined by Acs and Phillips (2002).