We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite

of opinionated content has a positive or a negative connotation. Research on determining whether a term is indeed a marker of opinionated content (a subjective term) or not (an objective term) has been, instead, much more scarce. In this work we describe SENTIWORDNET, a lexical resource in which each WORDNET

for efforts in the field. This lack of easily accessible, suitable, common testing resource forms the major impediment to comparing and extending the issues concerned with automatic facial expression analysis. In this paper, we discuss a number of issues that make the problem of creating a benchmark facial

CoolTown offers a web model for supporting nomadic users, based on the convergence of web technology, wireless networks and portable devices. This paper describes how CoolTown ties web resources to physical objects and places, and how users interact with resources using the information appliances

of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since

Crisis negotiation teams can assist law enforcement agencies to successfully resolve kidnapping cases. Regardless of agency size or service area, all law enforcement officers face increasing amounts of job-related stress.

resources for medical nutrition education1–4

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In this paper we study how we can organize the continuously proliferating Web content into topical categories, also known as Web directories. In this respect, we have implemented a system, named TODE that uses a Topical Ontology for Directories ’ Editing. First, we describe the process for building our ontology of Web topics, which are treated in TODE as directories ’ topics. Then, we present how TODE interacts with the ontology in order to categorize Web pages into the ontology’s topics and we experimentally study our system’s efficiency in grouping Web pages thematically. We evaluate TODE’s performance by comparing its resulting categorization for a number of pages to the categorization the same pages display in Google Directory as well as to the categorizations delivered for the same set of pages and topics by a Bayesian classifier. Results indicate that our model has a noticeable potential in reducing the human-effort overheads associated with populating Web directories. Furthermore, experimental results imply that the use of a rich topical ontology increases significantly classification accuracy for dynamic contents.

Many educational resources and objects have been developed as Java applets or applications. One can access these resources by simply downloading them from different repositories. In many instances, it is necessary to share these resources in real-time, such as when an instructor teaches remote