Semantic Content Acquisition and Representation ( SCAR ) 2007

Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...

Effect of Historical Buildings Representation in Cyberspace in Creating Tourists’ Destination Image (Qualitative Study of Traditional Accommodations in Kashan)

Introduction: Understanding the representation components of the historical buildings in cyberspace and their impact on the mental image of the tourists is a significant fact in tourism recognition and management. A part of this subject is the impact of place representation on the destination image of the tourist. In this research, the destination is traditional accommodations that attract tour...

The Effect of Semantic Transfer on Iranian EFL Learners’ Lexical Representation and Processing

A Joint Semantic Vector Representation Model for Text Clustering and Classification

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing

One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction from the legacy resources is still largely an open problem. This poster presents an ongoing research on an empirical knowledge representation and reasoning framework, which is tail...