CIKM

The last decade has seen a wave of new technology to publish, access, and integrate data on the Web. Furthermore, many new applications have emerged and Web technologies have penetrated almost all systems from small mobile applications to large-scale ...

Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the web logs. The recorded users' navigation is used to extract popular web paths ...

Semantic Similarity relates to computing the similarity between concepts which are not lexicographically similar. We investigate approaches to computing semantic similarity by mapping terms (concepts) to an ontology and by examining their relationships ...

Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages within a given topic according to how informative they are about the ...

In XML retrieval, two distinct approaches have been established and pursued without much cross-fertilization taking place so far. On the one hand, native XML databases tailored to the semistructured data model have received considerable attention, and a ...

In order to formulate a meaningful XML query, a user must have some knowledge of the schema of the XML documents to be queried. The query will succeed only if the schema of the actual documents is consistent with the user's information. When a user ...

In this paper we investigate the problem of XML Schema evolution. We first discuss the different kinds of changes that may be needed on an XML Schema. Then, we investigate how to minimize document revalidation, that is, detecting the document parts ...

This paper describes a framework for ontology-based flexible discovery of Semantic Web services. The proposed approach relies on user-supplied, context-specific mappings from an user ontology to relevant domain ontologies used to specify Web services. ...

Automatic key phrase extraction is a useful tool in many text related applications such as clustering and summarization. State-of-the-art methods are aimed towards extracting key phrases from traditional text such as technical papers. Application of ...

In this paper we give a preliminary report on our study of the use of web server traffic logs to improve local search. Web server traffic logs are, typically, private to individual websites and as such -- are unavailable to traditional web search ...

Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalized recommendations. However, such systems have been shown to be vulnerable ...

Since Web sites are autonomous and independently updated, applications that keep replicas of Web data, such as Web warehouses and search engines, must periodically poll the sites and check for changes.Since this is a resource-intensive task, in order to ...

Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index means a structured label list that can makes it easier for the user to ...