One of the key factors for effective personalization of information access is the user context. Our proposed approach for representing the user context involves implicitly building ontological user profiles by assigning interest scores to existing concepts in a domain ontology. A spreading activation algorithm is used to maintain the interest scores based on the user’s ongoing behavior. Our exp...

The trigger for shifting gaze between stimuli requiring vocal and manual responses was examined. Participants were presented with picture–word stimuli and leftor right-pointing arrows. They vocally named the picture (Experiment 1), read the word (Experiment 2), or categorized the word (Experiment 3) and shifted their gaze to the arrow to manually indicate its direction. The experiments showed t...

We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was implemented for the Open Video Project, a digital library of videos that are freely available for download. Sequential patterns of video retrievals are extracted from the project’s web download logs and analyzed to generate a...

We propose Request Confirmation Networks (ReCoNs) to combine neural learning with the sequential, hierarchical detection of sensory features, and to facilitate planning and script execution. ReCoNs are spreading activation networks with units that contain an activation and a state, and are connected with typed directed links that indicate partonomic relations and spatial or temporal succession....

Cultured macrophages exhibit spreading in response to external stimuli. It is relevant to in vivo morphologic changes of macrophages during extravasation, migration, and differentiation. The present study was performed to elucidate molecular mechanisms that regulate spreading of macrophages. Redox is a crucial factor that modulates a wide range of cell function. We found that macrophages underg...

With the increasing amount of information available on the Internet one of the most challenging tasks is to provide search interfaces that are easy to use without having to learn a specific syntax. In this thesis a query interface exploiting the intuitiveness of natural language for accessing tourism information is presented. Furthermore, the results and insights from analyzing the natural lang...

HIV-1 can disseminate between susceptible cells by two mechanisms: cell-free infection following fluid-phase diffusion of virions and by highly-efficient direct cell-to-cell transmission at immune cell contacts. The contribution of this hybrid spreading mechanism, which is also a characteristic of some important computer worm outbreaks, to HIV-1 progression in vivo remains unknown. Here we pres...

A user’s information need, normally represented as a search query, can be satisfied by creating a query focused coherent and readable summary, by fusing the relevant parts of information from multiple documents. While aggregating the information from multiple documents, the quality of the summary is improved by eliminating redundant information from the document set. In this paper, we focus on ...

Keywords: dialog translation, memory (example)-based translation, parallel marker passing, Korean language processing A bi-directional Korean/English dialog translation system is designed and implemented using the memory-based translation technique. The system KEMDT (Korean/English Memory-based Dialog Translation system) can perform Korean to English, and English to Korean translation using uni...

SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality issues beyond the linking of items to DBpedia. The overall results show that the performance of SemStim for the diversity task of the challenge is comparable to the other p...