Yazar "DOĞDU, Erdoğan" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
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A Data-Model Driven Web Application Development Framework
DOĞDU, Erdoğan; HAKİMOV, Sherzod; YUMUŞAK, Semih (Association for Computing Machinery, Inc, 2014)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 ... -
A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews
YUMUŞAK, Semih; MUÑOZ, Emir; MİNERVİNİ, Pasquale; DOĞDU, Erdoğan; KODAZ, Halife (CEUR-WS, 2016)This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as 'good' or 'bad' by mining Linked Data. The original labels are assigned according to aggregated ... -
A Short Survey of Linked Data Ranking
YUMUŞAK, Semih; DOĞDU, Erdoğan; KODAZ, Halife (Association for Computing Machinery, Inc, 2014)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 ... -
Classification of Linked Data Sources Using Semantic Scoring
YUMUŞAK, Semih; DOĞDU, Erdoğan; KODAZ, Halife (2018)Linked data sets are created using semantic Web technologies and they are usually big and the number of such datasets is growing. The query execution is therefore costly, and knowing the content of data in such datasets ... -
Identifying trolls and determining terror awareness level in social networks using a scalable framework
MUTLU, Büşra; MUTLU, Merve; ÖZTOPRAK, Kasım; DOĞDU, Erdoğan (Institute of Electrical and Electronics Engineers Inc., 2016)Trolls in social media are 'malicious' users trying to propagate an opinion or distort the general perceptions. Identifying trolls in social media is a task of interest for many big data applications since data cannot be ... -
Sentiment analysis for the social media: A case study for Turkish general elections
UYSAL, Elif; YUMUŞAK, Semih; ÖZTOPRAK, Kasım; DOĞDU, Erdoğan (Association for Computing Machinery, Inc, 2017)The ideas expressed in social media are not always compliant with natural language rules, and the mood and emotion indicators are mostly highlighted by emoticons and emotion specic keywords. There are language independent ... -
SpEnD portal: Linked data discovery using SPARQL endpoints
YUMUŞAK, Semih; ARAS, Rıza Emre; UYSAL, Elif; DOĞDU, Erdoğan; KODAZ, Halife; ÖZTOPRAK, Kasım (Institute of Electrical and Electronics Engineers Inc., 2017)We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, ... -
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
YUMUŞAK, Semih; DOĞDU, Erdoğan; KODAZ, Halife; KAMILARIS, Andreas; VANDENBUSSCHE, Pierre-Yves (2017)Linked data endpoints are online query gateways to semantically annotated linked data sources. In order to query these data sources, SPARQL query language is used as a standard. Although a linked data endpoint (i.e. SPARQL ... -
Tagging accuracy analysis on part-of-speech taggers
YUMUŞAK, Semih; DOĞDU, Erdoğan; KODAZ, Halife (2014)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 ... -
Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA)
ÖZTOPRAK, Kasım; LAYAZALI, Sina; DOĞDU, Erdoğan (Institute of Electrical and Electronics Engineers Inc., 2017)Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing ...
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