This paper focuses on ownership transfer via personalisation as a value-adding strategy for advanced learning technology. It contributes an approach to endowing hyperlink-based systems (e.g., for learning) with features that enable the personalisation of the interactions between users and the system that embodies the learning material. A framework for the personalisation of hyperdocuments is de...

We report in this paper the results of a preliminairy experience on the relevance of general semantic information in the context of a terminology structuration. As resources supplying specialised semantic information in the domain of the studied documents are missing, we use general semantic information to structure a terminology. By exploiting a general synonymy dictionary, we attempt to infer...

Nearly all the major Web search engines today use link analysis to improve their search results. That’s exciting news for linear algebraists because link analysis, the use of the Web’s hyperlink structure, is built from fundamentals of matrix theory. Link analysis and its underlying linear algebra have helped revolutionize Web search, so much so that the pre-link analysis search (before 1998) p...

In this research paper we propose a new educational framework based on guided exploration in scale-free small-world networks relying on hyperlink network of the Wikipedia online encyclopedia in which hyperlinks between articles define conceptual relationships. Educational material is presented to student with cumulative conceptual networks based on hyperlink network of the Wikipedia connecting ...

This paper examines Twitter networks of South Korean politicians. We have constructed the Following-follower and the Mention network between politicians and analyzed their relationship through various statistical tests and network analysis. Unlike other politician‟s network such as bill cosponsorship and hyperlink network, the Twitter politician network lies in the embeddedness context, implyin...

Weight and Mortality To the Editor: In a recent article, Dr Hu states1 that the findings regarding weight and mortality in Flegal et al2 are “most likely” the result of “methodologic flaws,” namely the failure to exclude subjects on the basis of smoking and preexisting illness. In August 2005, we replied3 to a similar assertion by Willett, Hu, and colleagues.4 In that reply we stated, “To deter...

This paper describes the approaches used at the TREC 2017 Real-Time Summarization. This task contains two scenarios: push notifications and email digest. For the scenario of push notifications, three filtering models, which are based on the hyperlink-extended retrieval model, the Learning to Rank and the hybrid filtering model, are proposed to filter the relevant tweets for a given topic. A nov...

Information Retrieval (IR) aims at solving a ranking problem: given a query q and a corpus C, the documents of C should be ranked such that the documents relevant to q appear above the others. This task is generally performed by ranking the documents d ∈ C according to their similarity with respect to q, sim(q, d). The identification of an effective function a, b → sim(a, b) could be performed ...

Integration of ontologies begins with establishing mappings between their concept entries. We map categories from the largest manually-built ontology, Cyc, onto Wikipedia articles describing corresponding concepts. Our method draws both on Wikipedia’s rich but chaotic hyperlink structure and Cyc’s carefully defined taxonomic and common-sense knowledge. On 9,333 manual alignments by one person, ...

Information on any given topic is often scattered across the Web. Previously this scatter has been characterized through the inequality of distribution of facts (i.e. pieces of information) across webpages. Such an approach conceals how specific facts (e.g. rare facts) occur in specific types of pages (e.g. fact-rich pages). To reveal such regularities, we construct bipartite networks, consisti...