This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Abstract. We present the results of UMBC’s participation in the Web and Novelty tracks. We explored various heuristics-based link analysis approaches to the Topic Distillation ta...
Srikanth Kallurkar, Yongmei Shi, R. Scott Cost, Ch...
It has been claimed that topic metadata can be used to improve the accuracy of text searches. Here, we test this claim by examining the contribution of metadata to effective search...
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...