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- 130 creator dimitrios-skoutas.
- 130 creator giorgos-giannopoulos.
- 130 creator nikos-karagiannakis.
- 130 creator spiros-athanasiou.
- 130 type InProceedings.
- 130 label "Learning to Classify Spatiotextual Entities in Maps".
- 130 sameAs 130.
- 130 abstract "In this paper, we present an approach for automatically recommending categories for geospatial entities, based on already existing annotated entities. Our goal is to facilitate the annotation process in crowdsourcing map initiatives such as OpenStreetMap, so that more accurate annotations are produced for the newly created spatial entities, while at the same time increasing the reuse of already existing tags. We select and construct a set of training features to represent the attributes of the geospatial entities and to capture their relation with the categories they are annotated with. These features include spatial, textual and semantic properties of the entities. We evaluate four different approaches, namely SVM, kNN, clustering+SVM and clustering+kNN, on several combinations of the defined training features and we examine which configurations of the algorithms achieve the best results. The presented work is deployed in OSMRec, a plugin for the JOSM tool that is commonly used for editing content in OpenStreetMap.".
- 130 hasAuthorList authorList.
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- 130 title "Learning to Classify Spatiotextual Entities in Maps".
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- 139 creator petar-ristoski.
- 139 creator peter-mika.
- 139 type InProceedings.
- 139 label "Enriching Product Ads with Metadata from HTML Annotations".
- 139 sameAs 139.
- 139 abstract "Product ads are a popular form of search advertizing offered by major search engines, including Yahoo, Google and Bing. Unlike traditional search ads, product ads include structured product specifications, which allow search engine providers to perform better keyword-based ad retrieval. However, the level of completeness of the product specifications varies and strongly influences the performance of ad retrieval. On the other hand, online shops are increasing adopting semantic markup languages such as Microformats, RDFa and Microdata, to annotate their content, making large amounts of product description data publicly available. In this paper, we present an approach for enriching product ads with structured data extracted from thousands of online shops offering Microdata annotations. In our approach we use structured product ads as supervision for training feature extraction models able to extract attribute-value pairs from unstructured product descriptions. We use these features to identify matching products across different online shops and enrich product ads with the extracted data. Our evaluation on three product categories related to electronics show promising results in terms of enriching product ads with useful product data.".
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- 139 title "Enriching Product Ads with Metadata from HTML Annotations".
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- 140 creator gong-cheng.
- 140 creator jiang-xu.
- 140 creator jidong-jiang.
- 140 creator liang-zheng.
- 140 creator yuzhong-qu.
- 140 type InProceedings.
- 140 label "Iterative Entity Navigation via Co-Clustering Semantic Links and Entity Classes".
- 140 sameAs 140.
- 140 abstract "With the increasing volume of RDF data, the diverse links and the large amount of linked entities make it diffcult for users to traverse the Linked Data. As semantic link and class of linked entities are two key facets to help users navigate, clustering links and classes can offer effective ways of navigating over Linked Data. In this paper, we propose a co-clustering approach to provide users with an iterative entity navigation. It clusters both links and classes simultaneously utilizing both the relationship between link and class, and the intra-link relationship and intra-class relationship. We evaluate our approach on a real-world data set and the experimental results demonstrate the effectiveness of our approach. A user study is conducted in a prototype system to show that our approach provides useful support for iterative entity navigation.".
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- 140 title "Iterative Entity Navigation via Co-Clustering Semantic Links and Entity Classes".
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- item-1 hasContent liang-zheng.
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- 148 creator haofen-wang.
- 148 creator liang-zhao.
- 148 creator tong-ruan.
- 148 creator yang-li.
- 148 type InProceedings.