In this paper, we proposed a novel approach based on topic ontology for tag recommendation. The proposed approach intelligently generates tag suggestions to blogs. In this approach, we construct topic ontology through enriching the set of categories in existing small ontology called as Open Directory Project. To construct topic ontology, a set of topics and their associated semantic relationships is identified automatically from the corpus-based external knowledge resources such as Wikipedia and WordNet. The construction relies on two folds such as concept acquisition and semantic relation extraction. In the first fold, a topic-mapping algorithm is developed to acquire the concepts from the semantic of Wikipedia. A semantic similarity-clustering algorithm is used to compute the semantic similarity measure to group the set of similar concepts. The second is the semantic relation extraction algorithm, which derives associated semantic relations between the set of extracted topics from the lexical patterns between synsets in WordNet. A suitable software prototype is created to implement the topic ontology construction process. A Jena API framework is used to organize the set of extracted semantic concepts and their corresponding relationship in the form of knowledgeable representation of Web ontology language. Thus, Protege tool provides the platform to visualize the automatically constructed topic ontology successfully. Using the constructed topic ontology, we can generate and suggest the most suitable tags for the new resource to users. The applicability of topic ontology with a spreading activation algorithm supports efficient recommendation in practice that can recommend the most popular tags for a specific resource. The spreading activation algorithm can assign the interest scores to the existing extracted blog content and tags. The weight of the tags is computed based on the activation score determined from the similarity between the topics in constructed topic ontology and content of the existing blogs. High-quality tags that has the highest activation score is recommended to the users. Finally, we conducted experimental evaluation of our tag recommendation approach using a large set of real-world data sets. Our experimental results explore and compare the capabilities of our proposed topic ontology with the spreading activation tag recommendation approach with respect to the existing AutoTag mechanism. And also discuss about the improvement in precision and recall of recommended tags on the data sets of Delicious and BibSonomy. The experiment shows that tag recommendation using topic ontology results in the folksonomy enrichment. Thus, we report the results of an experiment mean to improve the performance of the tag recommendation approach and its quality. © 2012 Wiley Periodicals, Inc.
PLACE YOUR ADVERT HERE
- ACCOUNTING PROJECT TOPICS AND MATERIALS3553
- EDUCATION PROJECT TOPICS AND MATERIALS3486
- ENGLISH AND LINGUISTIC PROJECT TOPICS AND MATERIALS2939
- COMPUTER SCIENCE PROJECT TOPICS AND MATERIALS FINAL YEAR1274
- BANKING AND FINANCE PROJECT TOPICS AND MATERIALS1250
- BUSINESS ADMINISTRATION PROJECT TOPICS AND MATERIALS1236
- EDUCATION FOUNDATION GUIDANCE AND COUNSELLING TOPICS AND MATERIALS1045
- ZOOLOGY PROJECT TOPICS AND MATERIALS1002
- MASS COMMUNICATION PROJECT TOPICS AND MATERIALS1001
- ANIMAL SCIENCE PROJECT TOPICS AND MATERIALS978
- LAW PROJECT TOPICS AND MATERIALS896
- ARTS EDUCATION PROJECT TOPICS AND MATERIALS844
- MARKETING PROJECT TOPICS AND MATERIALS690
- AGRICULTURAL EXTENSION PROJECT TOPICS AND MATERIALS676
- PUBLIC ADMINISTRATION PROJECT TOPICS AND MATERIALS654
LATEST PROJECTS
STUDIES ON SOME ASPECTS OF ANTHRACNOSE-BLIGHT-DIEBACK COMPLEX OF CULTIVARS OF GRAPEVINES (VITIS SPP.) IN...
GENETIC VARIABILITY STUDIES OF TWENTY POTATO GENOTYPES
RELATIONSHIP OF HAEMOGLOBIN AND POTASSIUM POLYMORPHISM WITH CONFORMATION, MILK PRODUCTION AND BLOOD BIOCHEMICAL PROFILES...
ADOPTION OF AGRICULTURAL INNOVATIONS AMONG MEMBERS AND NON-MEMBERS OF WOMEN CO-OPERATIVE SOCIETIES IN OJU...
SMALL FARMER CREDIT WITH PARTICULAR REFERENCE TO NIGERIA
DISCLAIMER
All undertaking works, records and reports posted on this website, modishproject.com are the property/copyright of their individual proprietors. They are for research reference/direction purposes and the works are publicly supported. Do not present another person’s work as your own to maintain a strategic distance from counterfeiting its results. Use it as a guide and not to duplicate the work in exactly the same words (verbatim). modishproject.com is a vault of exploration works simply like academia.edu, researchgate.net, scribd.com, docsity.com, coursehero and numerous different stages where clients transfer works. The paid membership on modishproject.com is a method by which the site is kept up to help Open Education. In the event that you see your work posted here, and you need it to be eliminated/credited, it would be ideal if you call us on +2348053692035 or send us a mail along with the web address linked to the work, to [email protected]. We will answer to and honor each solicitation. Kindly note notification it might take up to 24 - 48 hours to handle your solicitation.