Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
1Bhansali, D. ; Desai, H. ; Deulkar, K.: ¬A study of different ranking approaches for semantic search.
In: International journal of computer applications. 129(2015) no.5, S12-15.
Abstract: Search Engines have become an integral part of our day to day life. Our reliance on search engines increases with every passing day. With the amount of data available on Internet increasing exponentially, it becomes important to develop new methods and tools that help to return results relevant to the queries and reduce the time spent on searching. The results should be diverse but at the same time should return results focused on the queries asked. Relation Based Page Rank  algorithms are considered to be the next frontier in improvement of Semantic Web Search. The probability of finding relevance in the search results as posited by the user while entering the query is used to measure the relevance. However, its application is limited by the complexity of determining relation between the terms and assigning explicit meaning to each term. Trust Rank is one of the most widely used ranking algorithms for semantic web search. Few other ranking algorithms like HITS algorithm, PageRank algorithm are also used for Semantic Web Searching. In this paper, we will provide a comparison of few ranking approaches.
Inhalt: Vgl. auch: http://www.ijcaonline.org/research/volume129/number5/bhansali-2015-ijca-906896.pdf.
Themenfeld: Suchmaschinen ; Retrievalalgorithmen ; Semantisches Umfeld in Indexierung u. Retrieval
Objekt: SemRank ; HITS