Che-Hung Liu

From WikiPapers
Jump to: navigation, search

Che-Hung Liu is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Elite size and resilience impact on global system structuration in social media Division of labor
Elite
Entropy
Equality
Role
Wikipedia
2014 International Conference on Collaboration Technologies and Systems, CTS 2014 English 2014 The paper examines the role played by the most productive members of social media systems on leading the project and influencing the degree of project structuration. The paper focuses on findings of a large computational social science project that examines Wikipedia.1 0 0
Cross domain search by exploiting Wikipedia Proceedings - International Conference on Data Engineering English 2012 The abundance of Web 2.0 resources in various media formats calls for better resource integration to enrich user experience. This naturally leads to a new cross-modal resource search requirement, in which a query is a resource in one modal and the results are closely related resources in other modalities. With cross-modal search, we can better exploit existing resources. Tags associated with Web 2.0 resources are intuitive medium to link resources with different modality together. However, tagging is by nature an ad hoc activity. They often contain noises and are affected by the subjective inclination of the tagger. Consequently, linking resources simply by tags will not be reliable. In this paper, we propose an approach for linking tagged resources to concepts extracted from Wikipedia, which has become a fairly reliable reference over the last few years. Compared to the tags, the concepts are therefore of higher quality. We develop effective methods for cross-modal search based on the concepts associated with resources. Extensive experiments were conducted, and the results show that our solution achieves good performance. 0 0
An exploratory study of navigating wikipedia semantically: model and application SNA-based summary
Navigation
Normalized google distance
Semantically-based
Wikipedia
OCSC English 2011 0 0
Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support Hybrid search
Inverted index
IR and DB integration
Ranking
Scalable query processing
Journal of Web Semantics English 2011 The Web contains a large amount of documents and an increasing quantity of structured data in the form of RDF triples. Many of these triples are annotations associated with documents. While structured queries constitute the principal means to retrieve structured data, keyword queries are typically used for document retrieval. Clearly, a form of hybrid search that seamlessly integrates these formalisms to query both textual and structured data can address more complex information needs. However, hybrid search on the large scale Web environment faces several challenges. First, there is a need for repositories that can store and index a large amount of semantic data as well as textual data in documents, and manage them in an integrated way. Second, methods for hybrid query answering are needed to exploit the data from such an integrated repository. These methods should be fast and scalable, and in particular, they shall support flexible ranking schemes to return not all but only the most relevant results. In this paper, we present CE2, an integrated solution that leverages mature information retrieval and database technologies to support large scale hybrid search. For scalable and integrated management of data, CE2 integrates off-the-shelf database solutions with inverted indexes. Efficient hybrid query processing is supported through novel data structures and algorithms which allow advanced ranking schemes to be tightly integrated. Furthermore, a concrete ranking scheme is proposed to take features from both textual and structured data into account. Experiments conducted on DBpedia and Wikipedia show that CE2 can provide good performance in terms of both effectiveness and efficiency. © 2011 Elsevier B.V. All rights reserved. 0 0
CE2 - Towards a large scale hybrid search engine with integrated ranking support Annotations
Hybrid search
Ranking
Scalable storage
International Conference on Information and Knowledge Management, Proceedings English 2008 The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with documents. While structured query is the principal mean to retrieve semantic data, keyword queries are typically used for document retrieval. Clearly, a form of hybrid search that seamlessly integrates these formalisms to query both documents and semantic data can address more complex information needs. In this paper, we present CE2, an integrated solution that leverages mature database and information retrieval technologies to tackle challenges in hybrid search on the large scale. For scalable storage, CE2 integrates database with inverted indices. Hybrid query processing is supported in CE2 through novel algorithms and data structures, which allow for advanced ranking schemes to be integrated more tightly into the process. Experiments conducted on Dbpedia and Wikipedia show that CE2 can provide good performance in terms of both effectiveness and effciency. 0 0