We have devized a methodology that mines sequential navigation patterns from a website's logs to enable us to identify the most signi cant associative links in the networks. Spreading activation can then be applied to the generated network of weighted hyperlinks enabling the content-dependent, semantic retrieval of nodes in the network. This approach to information retrieval avoids many of the ...

Motivated by the properties of spreading activation and conceptual distance, the authors propose a metric, called Distance, on the power set of nodes in a semantic net. Distance is the average minimum path length over all painvise combinations of nodes between two subsets of nodes. Distance can be successfully used to assess the conceptual distance between sets of concepts when used on a semant...

For the update summaries task of the Text Analysis Conference 2008 we have implemented a novel summarization technique based on query expansion with encyclopedic knowledge and activation spreading in a large document graph. We have also experimented with sentence compression for building the summaries. The results are average – ranked 27 out of 58 for responsiveness in manual evaluation – but w...

We propose a framework for deterministic simulation of user behavior that allows to analyze the cost-gain-based performance on single result lists or whole search sessions. The ideal user representing optimal behavior (i.e., most gain with lowest effort) is contrasted with more “average” users that employ the spreading activation model from cognitive theory. On TREC Session Track data, the idea...

small precipitation with temporal and spatial variation of rainfall is the main responsible factors on flood occurrence in arid and semi arid regions. floods in their regions usually contain high concentration of sediments which when they are deposited on the surface of lands, they change the properties of soils of the area. in this research, the effect of floodwater spreading on physic-chemica...

An eecient retrieval of a relatively small number of relevant cases from a huge case base is a crucial subtask of Case-Based Reasoning (CBR). In this article, we present Case Retrieval Nets, a memory model that has recently been developed for this task. The main idea is to apply a spreading activation process to the case memory structured as a Case Retrieval Net in order to retrieve cases being...

Associative theories of learning have been used to explain human contingency learning since the 1980’s. Recent findings have led several authors to claim that there is no evidence clearly showing the engagement of associative processes of acquisition or representation in human contingency learning, and to propose non-associative accounts. Priming techniques can detect associative representation...

Learners have different knowledge, interests and also goals in any educational process. If all the learners are provided the same content the process will probably not meet expected goals. A personalized approach to a learner increases the efficiency of the learning process. It is based on information about the learner that is subject of change. Several adaptive educational systems exist. Howev...

due to its critical impact and significant destructive nature during and after seismic events, soil liquefaction and liquefactioninduced lateral ground spreading have been increasingly important topics in the geotechnical earthquake engineering field during the past four decades. the aim of this research is to develop an empirical model for the assessment of liquefaction-induced lateral ground ...