In this paper, we propose a mining algorithm to utilize the user clickthrough data to improve search performance. The algorithm first explores the relationship between queries and Web pages and mine out co-visiting relationship as the virtual link among the Web pages, and then Spreading Activation mechanism is used to perform the query-dependent search. Our approach could overcome the challenge...

A planning technique for probabilistic domains is presented, inspired by cognitive perceptual processes. The plan evolves as a by-product of situation understanding using spreading activation for cooperative support-building, and an annealing process to kill off weak results. We have implemented the technique and compared its results with one of the top planning techniques for this type of prob...

In the past several decades, the Internet has dramatically changed the way modern society communicates. In particular, online media have altered the method by which rumors are transmitted, from hearing those rumors via word of mouth among people to seeing rumors written as online messages. As a consequence of this change, many individuals and organizations have been greatly damaged by malicious...

One of the most difficult parts of the natural language understanding process is forming a semantic interpretation of the text. A reader must often make multiple inferences to understand the motives of actors and to causally connect actions that are unrelated on the basis of surface semantics alone. The inference process is complicated by the fact that text is often ambiguous both lexically and...

We want computer systems that can help us assess the similarity or relevance of existing objects (e.g., documents, functions, commands, etc.) to a statement of our current needs (e.g., the query). Towards this end, a variety of similarity measures have been proposed. However, the relationship between a measure’s formula and its performance is not always obvious. A geometric analy sis is advance...

Spreading activation search is an approach to determine similarity of graph vertices based on energy distribution. Computation of such energy distribution is defined by a simple, but time-expensive recurrent procedure. This paper introduces a caching strategy, which can speed up computation of energy distribution of vertices that are closely connected to already calculated vertices.

The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated from input sentences using a parser and semantic analyser, then these fragments are combined using spreading activation based algorithms. The ultimate goal of the project is to create a semantic resource on a scale that ...

Indirect aggression includes behaviours such as criticizing a competitor's appearance, spreading rumours about a person's sexual behaviour and social exclusion. Human females have a particular proclivity for using indirect aggression, which is typically directed at other females, especially attractive and sexually available females, in the context of intrasexual competition for mates. Indirect ...

In this paper we propose a system to solve a language game, called Guillotine, which requires a player with a strong cultural and linguistic background knowledge. The player observes a set of five words, generally unrelated to each other, and in one minute she has to provide a sixth word, semantically connected to the others. Several knowledge sources, such as a dictionary and a set of proverbs...

Most taxonomies and thesauri offer their users a huge amount of structured data. However, this volume of data is often excessive, and, thus does not fulfill the needs of the users, who are trying to find specific information related to a certain concept. While there are techniques that may partially alleviate this problem (e.g. visual representation of the data), some of the effects of the info...