In order to integrate autonomous taxonomy databases in the presence of semantic heterogeneity . we developed and evaluated a new integration algorithm over international computer networks. Whole taxonoms databases in the real applications are encoded in the relational model. First, the algorithm requires users to assign priority according to order of belief for each one of the accessible taxono...

Supporting Quality of Service (QoS) in mobile networks requires that admission control algorithms incorporate user mobility, and limit the probability that sufficient resources are unavailable when a user must handoff. In this paper, we develop a framework for designing such admission control algorithms via three contributions. We first devise a taxonomy to explore the mathematical structure an...

Taxonomies are widely used to classify information, and multiple (possibly competing) taxonomies often exist for the same domain. Given a set of correspondences between two taxonomies, it is often necessary to “merge” the taxonomies, thereby creating a unified taxonomy (e.g., that can then be used by data integration and discovery applications). We present an algorithm for merging taxonomies th...

Supporting Quality of Service (QoS) guarantees in wireless networks requires that admission control algorithms incorporate user mobility, and limit the probability that sufficient resources are unavailable when a user must handoff. In this paper, we develop a framework for designing admission control algorithms in wireless networks that support guaranteed QoS. First, we devise a taxonomy to exp...

We propose a novel graph-based approach for constructing concept hierarchy from a large text corpus. Our algorithm, GraBTax, incorporates both statistical co-occurrences and lexical similarity in optimizing the structure of the taxonomy. To automatically generate topic-dependent taxonomies from a large text corpus, GraBTax first extracts topical terms and their relationships from the corpus. Th...

We study unsupervised classification of text documents into a taxonomy of concepts annotated by only a few keywords. Our central claim is that the structure of the taxonomy encapsulates background knowledge that can be exploited to improve classification accuracy. Under our hierarchical Dirichlet generative model for the document corpus, we show that the unsupervised classification algorithm pr...

An individual’s decision-making behavior is heavily influenced by and adapted to external environmental factors. Given that software development is a human-centered activity, individual decision-making behavior may affect the software project quality. Although environmental factors affecting decision-making behavior in software projects have been identified in prior literature, there is not yet...

A semantically enhanced weighted tree similarity algorithm for buyer-seller match-making is presented. First, our earlier global, structural similarity measure over (product) partonomy trees is enriched by taxonomic semantics: Inner nodes can be labeled by classes whose partial subsumption order is represented as a taxonomy tree that is used for similarity computation. In particular, the simila...

ion Principles Data Conceptualization Process Conceptualization Raw data/ Audit trails Mining Algorithms Conceptualized Patterns FIG. 9: Major components of Process Centered Business Intelligence.

We introduce a knowledge-based approach to mine generalized association rules which is sound and interactive. Proposed mining is sound because our scheme uses knowledge for mining for only those concepts that are of interest to the user. It is interactive because we provide a user controllable parameter with the help of which user can interactively mine. For this, we use a taxonomy based on fun...