This poster describes a framework for investigating the effectiveness of query expansion term sets and reports the results of an investigation on the quality of query expansion terms coming from different sources: pseudo-relevance feedback, webbased expansion, interactive elicitations from the user searchers, and expansion approaches based on query clarity. The conclusion regarding the experime...

In the learning environments, users would be helpless without the assistance of powerful searching and browsing tools to find their way. Web-based e-learning systems are normally used by a wide variety of learners with different skills, background, preferences, and learning styles. In this paper, we perform the personalized semantic search and recommendation of learning contents on the learning...

E-commerce recommender systems seek out matches between customers and items in order to help customers discover more relevant and satisfying products and to increase the conversion rate of browsers to buyers. To do this, a recommender system must learn about the likes and dislikes of customers/users as well as the advantages and disadvantages (pros and cons) of products. Recently, the explosion...

Search engines, such as Google, assign scores to news articles based on their relevance to a query. However, not all relevant articles for the query may be interesting to a user. For example, if the article is old or yields little new information, the article would be uninteresting. Relevance scores do not take into account what makes an article interesting, which would vary from user to user. ...

The overwhelming number of scientific articles over the years calls for smart automatic tools to facilitate the process of literature review. Here, we propose for the first time a framework of faceted recommendation for scientific articles (abbreviated as FeRoSA) which apart from ensuring quality retrieval of scientific articles for a query paper, also efficiently arranges the recommended paper...

We present the initial design and development of KidsQR, a query recommendation system tailored exclusively for children. KidsQR aids children in their quest for online information by considering children vocabulary, child-friendly phrases, and entities children are familiar with. Initial experiments conducted based on the assessment of parents and elementary school teacher appraisers verify th...

Querying is one of the key aspects in the Semantic Web. SPARQL, a W3C recommendation, attempts to become the standard Web query language. The XPTO system is capable of representing and querying ontologies described in the OWL language using Contextual Logic Programming. Here is presented a component of the XPTO system that enables answering SPARQL queries.

vspace{0.2cm}In this paper, we design a data structure for the following problem. Let $pi$ be an $x$-monotone trajectory with $n$ vertices in the plane and $epsilon >0$. We show how to preprocess $pi$ and $epsilon$ into a data structure such that for any horizontal query segment $Q$ in the plane, one can quickly determine the minimal continuous fraction of $pi$ whose Fr{'e}chet and Hausdo...

Enterprise social software (ESS) systems are open and flexible corporate environments which utilize Web 2.0 technologies to stimulate participation through informal interactions and aggregate these interactions into collective structures. A challenge in these systems is to discover, organize and manage the knowledge model of topics found within the enterprise. In this paper we aim to enhance th...