An algebra and conceptual model for semantic tagging of collaborative digital libraries

Cost-effective semantic description and annotation of shared knowledge resources has always been of great importance for digital libraries and large scale information systems in general. With the emergence of the Social Web and Web 2.0 technologies, a more effective semantic description and annotation, e.g., folksonomies, of digital library contents is envisioned to take place in collaborative and personalised environments. However, there is a lack of foundation and mathematical rigour for coping with contextualised management and retrieval of semantic annotations throughout their evolution as well as diversity in users and user communities. In this paper, we propose an ontological foundation for semantic annotations of digital libraries in terms of flexonomies. The proposed theoretical model relies on a high dimensional space with algebraic operators for contextualised access of semantic tags and annotations. The set of the proposed algebraic operators, however, is an adaptation of the set theoretic operators selection, projection, difference, intersection, union in database theory. To this extent, the proposed model is meant to lay the ontological foundation for a Digital Library 2.0 project in terms of geometric spaces rather than logic (description) based formalisms as a more efficient and scalable solution to the semantic annotation problem in large scale.

Knowledge creation: revisiting the 'ba' humbug people and 'latent' knowledge in organizational learning

Knowledge management theory has struggled with the concept of `knowledge creation'. Since the seminal article of Nonaka in 1991, an industry has grown up seeking to capture the knowledge in the heads and hearts of individuals so as to leverage them for organizational learning and growth. But the process of Socialization, Externalization, Combination and Internalization (SECI) outlined by Nonaka and his colleagues has essentially dealt with knowledge transfer rather than knowledge creation. This paper attempts to fill the gap in the process - from Nonaka's own addition of the need for "ba" to Snowden's suggestion of that we consider "Cynefin" as a space for knowledge creation. Drawing upon a much older theoretical frame - work the Johari Window developed in group dynamics, this paper suggests an alternative concept - latent knowledge - and introduces a different model for the process of knowledge creation.

Feminist epistemology meets the masculinity of marketing and consumer knowledge: a contemporary rendering of a decade-long debate

In this paper I outline possibilities for, and issues arising from, opposition towards the dominant ideologies and practices of marketing knowledge (Hirschman 1993) through an engagement with feminist epistemology (Longino 1991, Harding 1987). Feminist epistemology is a political branch of naturalised epistemology (Quine 1969) primarily concerned with critique of constructions of gender, gender norms and gendered interests within the production of knowledge (Anderson 1995) and with theorising, grounding and legitimating feminist knowledge making practices (Harding 1987). It is most often associated with the feminist critique of science, and with feminist science and technology studies (Haraway 1987, Wajman 1997). Feminist epistemology asks the question, ‘what is the nature of the feminist critical project as a way of knowing?’ (McLennan 1995:392). This paper outlines the basis of the feminist critique of knowledge generally, and as applied to marketing knowledge, offers description of the three main epistemological approaches to this question and suggestions for their application in practice. The paper progresses important work by consumer behaviour theorists (Bristor and Fischer 1993, Hirschman 1993) on the potentials of feminist ways of knowing for marketing and consumer behaviour by moving beyond the tripartite of feminist approaches outlined, and extending the discussion to take into account the development of situated knowledges theory (Haraway 1989, 1997), which has become so important in the decade since these papers were written. It joins ongoing conversations in consumer behaviour and marketing that share similar feminist concerns (Catterall et al 1997, 2000, 2005, Bettany and Woodruffe Burton 1999, 2005, and Hogg et al 1999, 2000) but in this contribution it takes a slightly tangential approach, seeing marketing knowledge in terms of its epistemic culture by using a model of masculinity in academic cultures from feminist theory (Wagner 1994) to help conceptualise it as such. The dominant masculine ideology of marketing knowledge both in execution (Penaloza 1994, Bristor and Fischer 1994, Fischer and Bristor 1993, Woodruffe 1996), and values (Hirschman 1993, Brown 2000, Desmond 1997) has been well documented over the past fifteen years. However, although the basis of this, how is it manifested and how a feminist informed marketing knowledge could be achieved, have been addressed somewhat in the literature (Bristor and Fischer 1993, Hogg, Bettany and Long 2000) an updated rendering is necessary which focuses specifically on epistemology and situates this discussion within a cultural framework. To do this I use the notions of cultural masculinity in academic disciplines developed by Wagner (1994) of ‘organisational egocentrism’, ‘fake collectivity’ and ‘de realisation’. With these, I raise important and specific issues around the notion of the masculinity of marketing knowledge, and then present an outline of feminist epistemologies to illustrate how different feminist approaches to knowledge would address these concerns.

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

A multi-agent-based evolution model of innovation networks in dynamic environments

An innovation network can be considered as a complex adaptive system with evolution affected by dynamic environments. This paper establishes a multi-agent-based evolution model of innovation networks under dynamic settings through computational and logical modeling, and a multi-agent system paradigm. This evolution model is composed of several sub-models of agents' knowledge production by independent innovations in dynamic situations, knowledge learning by cooperative innovations covering agents' heterogeneities, decision-making for innovation selections, and knowledge update considering decay factors. On the basis of above-mentioned sub-models, an evolution rule for multi-agent based innovation network system is given. The proposed evolution model can be utilized to simulate and analyze different scenarios of innovation networks in various dynamic environments and support decision-making for innovation network optimization.

A model for information retrieval driven by conceptual spaces

A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge Organization Systems (KOSs) are the semantic models that encode the meaning employed for monolingual and cross-language retrieval. The focus of this research is the relationship between these meanings’ representations and their role and potential in augmenting existing retrieval models effectiveness. The proposed approach is unique in explicitly interpreting a semantic reference as a pointer to a concept in the semantic model that activates all its linked neighboring concepts. It is in fact the formalization of the information retrieval model and the integration of knowledge resources from the Linguistic Linked Open Data cloud that is distinctive from other approaches. The preprocessing of the semantic model using Formal Concept Analysis enables the extraction of conceptual spaces (formal contexts)that are based on sub-graphs from the original structure of the semantic model. The types of conceptual spaces built in this case are limited by the KOSs structural relations relevant to retrieval: exact match, broader, narrower, and related. They capture the definitional and relational aspects of the concepts in the semantic model. Also, each formal context is assigned an operational role in the flow of processes of the retrieval system enabling a clear path towards the implementations of monolingual and cross-lingual systems. By following this model’s theoretical description in constructing a retrieval system, evaluation results have shown statistically significant results in both monolingual and bilingual settings when no methods for query expansion were used. The test suite was run on the Cross-Language Evaluation Forum Domain Specific 2004-2006 collection with additional extensions to match the specifics of this model.