The task of planning in a dynamic and uncertain domain is considerably more challenging than in domains traditionally adopted by classical planning methods. Planning in real situations has to be 8 knowiedp intm ptoceu, particudarly since it is not easy to predict all the effects of one’s actions. However, many knowledge bated implementations are susceptible to brittleness. Contract bridge oRea ...

Title of dissertation: THEMATIC RELATIONS BETWEEN NOUNS Juan Carlos Castillo, Doctor of Philosophy, 2001 Dissertation directed by: Professor Juan Uriagereka Department of Linguistics This dissertation explores some of the traditionally labeled possessive relations, and proposes a basic syntactic structure that underlies them. The two nouns act as subject and predicate in a small clause, dominat...

Topic modeling refers to the task of discovering the underlying thematic structure in a text corpus, where the output is commonly presented as a report of the top terms appearing in each topic. Despite the diversity of topic modeling algorithms that have been proposed, a common challenge in successfully applying these techniques is the selection of an appropriate number of topics for a given co...

In this paper, we address exploratory analysis of textual data streams and we propose a bootstrapping process based on a combination of keyword similarity and clustering techniques to: i) classify documents into fine-grained similarity clusters, based on keyword commonalities; ii) aggregate similar clusters into larger document collections sharing a richer, more user-prominent keyword set that ...

A media management system exploiting characteristics of travel media is designed to facilitate efficient management and browsing. According to travel schedules, travel media often have implicit thematic structure. Correlation between different modalities also provides implicit cues to media analysis. In this system, we exploit techniques of near-duplicate detection to select representative phot...

We introduce a new visual analytic approach to the study of scientific discoveries and knowledge diffusion. Our approach enhances contemporary co-citation network analysis by enabling analysts to identify co-citation clusters of cited references intuitively, synthesize thematic contexts in which these clusters are cited, and trace how research focus evolves over time. The new approach integrate...

This paper focuses on value co-creation in the context of cyber-physical systems (CPSs). We investigate how value is co-created in the mining and construction industry, where the intelligent equipment are examples of CPSs. We take an interpretive research approach and study a global corporation, which manufactures tools and equipment for the mining and construction industry. The data collection...

This project is designed to detect the hidden relationships between risks, model them and visualize them. The technique is based on a mixture of text clustering and text classification. Firstly, the raw risks are preprocessed and transformed into the desired format. Then Latent Dirichlet Allocation (LDA) is applied to the risks as a cluster technique to discover the hidden thematic topics that ...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...