A Cluster-Based Approach for Search and Exploration of Tag Spaces
نویسندگان
چکیده
Although Semantic Web technology is increasingly becoming more and more important, tagging remains a popular method to describe Web resources. Therefore it is important to address the issues that are found in current tagging search engines, such as Flickr. We find that the free nature of tagging results in many issues for tag search engines, such as synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these issues by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flickr data from 2009 and compare the STCS framework to two previously introduced tag clustering techniques.
منابع مشابه
Improving Search and Exploration in Tag Spaces Using Automated Tag Clustering
In recent years we have experienced an increase in the usage of tags to describe resources. However, the free nature of tagging presents some challenges regarding the search and exploration of tag spaces. In order to deal with these challenges we propose the Semantic Tag Clustering Search (STCS) framework. The framework first groups syntactic variations using several measures based on the Leven...
متن کاملA semantic-based approach for searching and browsing tag spaces
In this thesis we propose the Semantic Tag Clustering Search framework (STCS). This framework consists of three parts. The first part deals with syntactic variations by clustering tags that are syntactic variations of each other and assigning a label to them. The second part of the framework addresses the problem of recognizing homonyms and identifying semantically related tags. The last, and f...
متن کاملImproving the Exploration of Tag Spaces Using Automated Tag Clustering
Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flick...
متن کاملAn improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
متن کاملSolving the flexible job shop problem by hybrid metaheuristics-based multiagent model
The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem that allows to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the assignment and the scheduling problems. In this paper, we propose how to solve the FJSP by hybrid metaheuristics-based c...
متن کامل