A Short Survey of Linked Data Ranking

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

Linked data systems are still far from maturity. Hence, the basic principles are still open for discussion. In our study on building a novel linked data search engine, we have surveyed fundamental methods of internet search technologies in the context of linked data crawling, indexing, ranking, and monitoring. The scope of this ranking survey covers linked data related statistical ranking, database ranking, document level ranking, and Web ranking techniques. In order to classify the linked data ranking methods, we identified a number of categories. These categories are ontology ranking, RDF ra ...Daha fazlası

Konferans Bildirisi 2014 Association for Computing Machinery, Inc 5 Görüntülenme

Erişime Açık

A Data-Model Driven Web Application Development Framework

DOĞDU, Erdoğan | HAKİMOV, Sherzod | YUMUŞAK, Semih

Model-driven approach for web application development is an important topic in software engineering. There are many existing tools to support model-driven engineering for web application development. However, most tools and techniques are complex and not very practical when it comes to real-life usage. Here we present a simple data model-driven approach for web application development that is based on RDF data model, the basic semantic Web data model, and its reasoning capabilities. We introduce a prototype implementation of the data model-driven Web application development framework that util ...Daha fazlası

Konferans Bildirisi 2014 Association for Computing Machinery, Inc 3 Görüntülenme

Erişime Açık

Tagging accuracy analysis on part-of-speech taggers

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

Part of Speech (POS) Tagging can be applied by several tools and several programming languages. This work focuses on the Natural Language Toolkit (NLTK) library in the Python environment and the gold standard corpora installable. The corpora and tagging methods are analyzed and compared by using the Python language. Different taggers are analyzed according to their tagging accuracies with data from three different corpora. In this study, we have analyzed Brown, Penn Treebank and NPS Chat corpuses. The taggers we have used for the analysis are; default tagger, regex tagger, n-gram taggers. We h ...Daha fazlası

Makale 2014 2 Görüntülenme

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Koleksiyon [3]

İlgili Araştırmacılar [4]

Ambargo Durumu [1]

Tam Metin [1]

Yayın Türü [2]

Yazar/lar [4]

Atıf Dizini [2]

Konu Başlıkları [8]

Yayıncı [1]

Yayın Tarihi [1]

Yayın Dili [1]

A Short Survey of Linked Data Ranking

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

A Data-Model Driven Web Application Development Framework

DOĞDU, Erdoğan | HAKİMOV, Sherzod | YUMUŞAK, Semih

Tagging accuracy analysis on part-of-speech taggers

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife