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Bulunan: 6 Adet 0.001 sn
- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır.
- İptal tuşuna basarak normal aramaya dönebilirsiniz.
Filtreler
Filtreler
Bulunan: 6 Adet 0.001 sn
Atıf Dizini : Scopus ✕İlgili Araştırmacılar : Semih Yumuşak ✕
Koleksiyon [3]
İlgili Araştırmacılar [9]
Ambargo Durumu [1]
Tam Metin [1]
Yayın Türü [2]
Yazar/lar [9]
Atıf Dizini [2]
Konu Başlıkları [15]
Yayıncı [3]
Yayın Tarihi [4]
Yayın Dili [1]
Dr. Öğr. Üyesi Semih YumuşakKTO KARATAY ÜNİVERSİTESİ/MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ/BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ/BİLGİSAYAR MÜHENDİSLİĞİ PR. (TAM BURSLU)/
Erişime Açık

A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews

YUMUŞAK, Semih | MUÑOZ, Emir | MİNERVİNİ, Pasquale | DOĞDU, Erdoğan | KODAZ, Halife

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 critic scores published by the Metacritic website. To this end, the challenge provides datasets that contain the DBpedia reference for music albums. Our approach benefits from Linked Data (LD) and free text to extract meaningful features that help distinguishing between these two classes of music albums. Thus, our features can be summarized as follows: (1) direct object LD ...Daha fazlası

Konferans Bildirisi 2016 CEUR-WS 7 Görüntülenme
Erişime Açık

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

SpEnD portal: Linked data discovery using SPARQL endpoints

YUMUŞAK, Semih | ARAS, Rıza Emre | UYSAL, Elif | DOĞDU, Erdoğan | KODAZ, Halife | ÖZTOPRAK, Kasım

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, the SPARQL endpoints are extracted from the web by using web crawling techniques, monitored and analyzed by live querying the endpoints systematically. After many sustainability improvements in the SpEnD project, the SpEnD system is now online as a portal. SpEnD portal currently serves 1487 SPARQL endpoints, out of which 911 endpoints are uniquely found by SpEnD only when ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme
Erişime Açık

Classification of Linked Data Sources Using Semantic Scoring

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

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 should help in targeted querying. Our aim in this paper is to classify linked data sets by their knowledge content. Earlier projects such as LOD Cloud, LODStats, and SPARQLES analyze linked data sources in terms of content, availability and infrastructure. In these projects, linked data sets are classified and tagged principally using VoID vocabulary and analyzed according to t ...Daha fazlası

Makale 2018 5 Görüntülenme
Erişime Açık

Sentiment analysis for the social media: A case study for Turkish general elections

UYSAL, Elif | YUMUŞAK, Semih | ÖZTOPRAK, Kasım | DOĞDU, Erdoğan

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 emotion keywords (e.g. love, hate, good, bad), besides every language has its own particular emotion specific keywords. These keywords can be used for polarity analysis for a particular sentence. In this study, we first created a Turkish dictionary containing emotion specific keywords. Then, we used this dictionary to detect the polarity of tweets that are collected by queryi ...Daha fazlası

Konferans Bildirisi 2017 Association for Computing Machinery, Inc 3 Görüntülenme
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