Presence of Meaning in Life Improves Response to Others’ Self-Promotion

Self-promotion is prevalent and aversive. We observe that people who think their life is meaningful tend to experience less negative emotional responses to others’ self-promotional attempts. A simple intervention involving a reflection on the presence of meaning in one’s life significantly improves recipients’ responses to others’ self-promotion

Integrating Know-How into the Linked Data Cloud

This paper presents the first framework for integrating procedural knowledge, or "know-how", into the Linked Data Cloud. Know-how available on the Web, such as step-by-step instructions, is largely unstructured and isolated from other sources of online knowledge. To overcome these limitations, we propose extending to procedural knowledge the benefits that Linked Data has already brought to representing, retrieving and reusing declarative knowledge. We describe a framework for representing generic know-how as Linked Data and for automatically acquiring this representation from existing resources on the Web. This system also allows the automatic generation of links between different know-how resources, and between those resources and other online knowledge bases, such as DBpedia. We discuss the results of applying this framework to a real-world scenario and we show how it outperforms existing manual community-driven integration efforts.Comment: The 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014), 24-28 November 2014, Link\"oping, Swede

A Flexible Personalization Architecture for Wireless Internet Based on Mobile Agents

Abstract. The explosive growth of the Internet has fuelled the creation of new and exciting information services. Most of the current technology has been designed for desktop and larger computers with medium to high bandwidth and generally reliable data networks. On the other hand, hand-held wireless devices provide a much more constrained and poor computing environment compared to desktop computers. That is why wireless users rarely (if ever) benefit from Internet information services. Yet the trend and interest for wireless services is growing with fast pace. Personalization comes into aid by directly toning down factors that break up the functionally of the Internet services when viewed through wireless devices; factors like the “click count”, user response time and the size of the wireless network traffic. In this paper we present a flexible personalization system tuned for the wireless Internet. The system utilizes the various characteristics of mobile agents to support flexibility, scalability, modularity and user mobility.

A study of query length

We analyse query length, and fit power-law and Poisson distributions to four different query sets. We provide a practical model for query length, based on the truncation of a Poisson distribution for short queries and a power-law distribution for longer queries, that better fits real query length distributions than earlier proposals

Personal vs non-personal blogs: Initial classification experiments

We address the task of separating personal from non-personal blogs, and report on a set of baseline experiments where we compare the performance on a small set of features across a set of five classifiers. We show that with a limited set of features a performance of up to 90% can be obtained

Locating relevant text within XML documents

Traditional document retrieval has shown to be a competitive approach in XML element retrieval, which is counter-intuitive since the element retrieval task requests all and only relevant document parts to be retrieved. This paper conducts a comparative analysis of document and element retrieval, highlights the relative strengths and weaknesses of both approaches, and explains the relative effectiveness of document retrieval approaches at element retrieval tasks

Term clouds as surrogates for user generated speech

User generated spoken audio remains a challenge for Automatic Speech Recognition (ASR) technology and content-based audio surrogates derived from ASR-transcripts must be error robust. An investigation of the use of term clouds as surrogates for podcasts demonstrates that ASR term clouds closely approximate term clouds derived from human-generated transcripts across a range of cloud sizes. A user study confirms the conclusion that ASR-clouds are viable surrogates for depicting the content of podcasts

Approximating fair use in LicenseScript

Current rights management systems are not able to enforce copyright laws because of both legal and technological reasons. The contract rights granted by a copyright owner are often overridden by the users’ statutory rights that are granted by the laws. In particular, Fair Use allows for "unauthorized but not illegal" use of content. Two technological reasons why fair use cannot be upheld: (1) the current XML-based rights expression language (REL) cannot capture user’s statutory rights; and (2) the underlying architectures cannot support copyright enforcement. This paper focuses on the first problem and we propose a way of solving it by a two-pronged approach: (1) rights assertion, to allow a user to assert new rights to the license, i.e. freely express her rights user fair use; and (2) audit logging, to record the asserted rights and keep track of the copies rendered and distributed under fair use. We apply this approach in LicenseScript (a logic-based REL) to demonstrate how LicenseScript can approximate fair use