this article presents a novel method and development paradigm that proposes a general template for an enterprise information structure and allows for the automatic generation and modification of enterprise workflows. this dynamically integrated workflow development approach utilises a conceptual ontology of domain processes and tasks, enterprise charts, and enterprise entities. it also suggests...

This paper outlines the need for prescriptive action in the field of videogame design to overcome recurring conditions of lack of expressive productivity and uncertainty in carrying out the communicational goals of videogame development projects. This paper furthermore proposes a strategy for prescriptive action in the form of Applied Research in Normative Studies in videogames, meant to produc...

This work studies the combination of a document retrieval and a relation extraction system for the purpose of identifying query-relevant relational facts. On the TREC Web collection, we assess extracted facts separately for correctness and relevance. Despite some TREC topics not being covered by the relation schema, we find that this approach reveals relevant facts, and in particular those not ...

Engineers get most of their information from colleagues and internal reports. This study investigates how engineers’ information-seeking practices intertwine looking for informing documents with looking for informed people. Based on case studies in two product-development organisations we find that engineers search for documents to find people, search for people to get documents, and interact s...

The Clinical e-Science Framework (CLEF) demonstrator runs Information Extraction technology over textual, narrative patient notes to assemble repositories of clinical patient data for the purposes of biomedical research and clinical care. Since many important medical events in the course of a patient’s treatment are mentioned in multiple documents and most documents will only include partial de...

This paper proposes a novel statistical approach to intelligent document retrieval. It seeks to offer a more structured and extensible mathematical approach to the term generalization done in the popular Latent Semantic Analysis (LSA) approach to document indexing. A Markov Random Field (MRF) is presented that captures relationships between terms and documents as probabilistic dependence assump...

This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in various fields of natural language processing. So far, much English documents clustering research has been accomplished. Now this question arises, are the results of them extendable to other languages? Since the goal of document clustering is grouping of docum...