Template Mining for Information Extraction from Digital Documents

published or submitted for publicatio

Application of the Markov Chain Method in a Health Portal Recommendation System

This study produced a recommendation system that can effectively recommend items on a health portal. Toward this aim, a transaction log that records users’ traversal activities on the Medical College of Wisconsin’s HealthLink, a health portal with a subject directory, was utilized and investigated. This study proposed a mixed-method that included the transaction log analysis method, the Markov chain analysis method, and the inferential analysis method. The transaction log analysis method was applied to extract users’ traversal activities from the log. The Markov chain analysis method was adopted to model users’ traversal activities and then generate recommendation lists for topics, articles, and Q&A items on the health portal. The inferential analysis method was applied to test whether there are any correlations between recommendation lists generated by the proposed recommendation system and recommendation lists ranked by experts. The topics selected for this study are Infections, the Heart, and Cancer. These three topics were the three most viewed topics in the portal. The findings of this study revealed the consistency between the recommendation lists generated from the proposed system and the lists ranked by experts. At the topic level, two topic recommendation lists generated from the proposed system were consistent with the lists ranked by experts, while one topic recommendation list was highly consistent with the list ranked by experts. At the article level, one article recommendation list generated from the proposed system was consistent with the list ranked by experts, while 14 article recommendation lists were highly consistent with the lists ranked by experts. At the Q&A item level, three Q&A item recommendation lists generated from the proposed system were consistent with the lists ranked by experts, while 12 Q&A item recommendation lists were highly consistent with the lists ranked by experts. The findings demonstrated the significance of users’ traversal data extracted from the transaction log. The methodology applied in this study proposed a systematic approach to generating the recommendation systems for other similar portals. The outcomes of this study can facilitate users’ navigation, and provide a new method for building a recommendation system that recommends items at three levels: the topic level, the article level, and the Q&A item level

The slow movements: Informetric mapping of the scholarship and implications for tourism and hospitality

Slow food and the consequent slow movements are becoming more evident in research and media with the recognition of its implications for sustainability in many spheres of society. This study—the first systematic literature review of this topic—offers a comprehensive interdisciplinary investigation into slow movements which allows us to gain a systems view of the scholarship; stakeholder-oriented insights; and a holistic understanding of slowness while recognizing the various movements within and providing future research directions for tourism and hospitality researchers. This study identifies that slowness has extended to most aspects of our everyday life, such as the slow city, slow management, slow fashion, slow philosophy in general, and slow tourism; the latter offering COVID-19 post-pandemic recovery opportunities through sustainable tourism and hospitality. This study acts as a springboard for a better understanding of the slow(ness) movements to encourage more proactive interactions with key stakeholders and to develop the field further

The slow movements: Informetric mapping of the scholarship and implications for tourism and hospitality

Slow food and the consequent slow movements are becoming more evident in research and media with the recognition of its implications for sustainability in many spheres of society. This study—the first systematic literature review of this topic—offers a comprehensive interdisciplinary investigation into slow movements which allows us to gain a systems view of the scholarship; stakeholder-oriented insights; and a holistic understanding of slowness while recognizing the various movements within and providing future research directions for tourism and hospitality researchers. This study identifies that slowness has extended to most aspects of our everyday life, such as the slow city, slow management, slow fashion, slow philosophy in general, and slow tourism; the latter offering COVID-19 post-pandemic recovery opportunities through sustainable tourism and hospitality. This study acts as a springboard for a better understanding of the slow(ness) movements to encourage more proactive interactions with key stakeholders and to develop the field further

Cognitive distances between evaluators and evaluees in research evaluation : a comparison between three informetric methods at the journal and subject category aggregation level

This article compares six informetric approaches to determine cognitive distances between the publications of panel members (PMs) and those of research groups in discipline-specific research evaluation. We used data collected in the framework of six completed research evaluations from the period 2009–2014 at the University of Antwerp as a test case. We distinguish between two levels of aggregation—Web of Science Subject Categories and journals—and three methods: while the barycenter method (2-dimensional) is based on global maps of science, the similarity-adapted publication vector (SAPV) method and weighted cosine similarity (WCS) method (both in higher dimensions) use a full similarity matrix. In total, this leads to six different approaches, all of which are based on the publication profile of research groups and PMs. We use Euclidean distances between barycenters and SAPVs, as well as values of WCS between PMs and research groups as indicators of cognitive distance. We systematically compare how these six approaches are related. The results show that the level of aggregation has minor influence on determining cognitive distances, but dimensionality (two versus a high number of dimensions) has a greater influence. The SAPV and WCS methods agree in most cases at both levels of aggregation on which PM has the closest cognitive distance to the group to be evaluated, whereas the barycenter approaches often differ. Comparing the results of the methods to the main assessor that was assigned to each research group, we find that the barycenter method usually scores better. However,the barycenter method is less discriminatory and suggests more potential evaluators, whereas SAPV and WCS are more precise