Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods,
2010
Cleveland State University
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
All Maxine Goodman Levin School of Urban Affairs Publications
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Information Leakage Through Online Social Networking: Opening The Doorway For Advanced Persistence Threats,
2010
University of Melbourne
Information Leakage Through Online Social Networking: Opening The Doorway For Advanced Persistence Threats, Nurul Nuha Abdul Molok, Shanton Chang, Atif Ahmad
Australian Information Security Management Conference
The explosion of online social networking (OSN) in recent years has caused damages to organisations due to leakage of information by their employees. Employees’ social networking behaviour, whether accidental or intentional, provides an opportunity for advanced persistent threats (APT) attackers to realise their social engineering techniques and undetectable zero-day exploits. APT attackers use a spear-phishing method that targeted on key employees of victim organisations through social media in order to conduct reconnaissance and theft of confidential proprietary information. This conceptual paper posits OSN as the most challenging channel of information leakage and provides an explanation about the underlying factors of …
Flexible Bootstrapping-Based Ontology Alignment,
2010
Wright State University - Main Campus
Flexible Bootstrapping-Based Ontology Alignment, Prateek Jain, Pascal Hitzler, Amit P. Sheth
Kno.e.sis Publications
BLOOMS (Jain et al, ISWC2010) is an ontology alignment system which, in its core, utilizes the Wikipedia category hierarchy for establishing alignments. In this paper, we present a Plug-and-Play extension to BLOOMS, which allows to flexibly replace or complement the use of Wikipedia by other online or offline resources, including domain-specific ontologies or taxonomies. By making use of automated translation services and of Wikipedia in languages other than English, it makes it possible to apply BLOOMS to alignment tasks where the input ontologies are written in different languages.
Ontology Alignment For Linked Open Data,
2010
Wright State University - Main Campus
Ontology Alignment For Linked Open Data, Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh
Kno.e.sis Publications
The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the …
Smu-Sis At Tac 2010 - Kbp Track Entity Linking,
2010
Singapore Management University
Smu-Sis At Tac 2010 - Kbp Track Entity Linking, Swapna Gottipati, Jing Jiang
Research Collection School Of Computing and Information Systems
Entity linking task is a process of linking the named entity within the unstructured text to the entity in the Knowledge Base. Entity liking to the relevant knowledge is useful in various information extraction and natural language processing applications that improve the user experiences such as search, summarization and so on. We propose the two way entity linking approach to reformulate query, disambiguate the entity and link to the relevant KB repository. This paper describes the details of our participation in TAC 2010 - Knowledge Base Population track. We provided an innovative approach to disambiguate the entity by query reformulation …
Vireo At Trecvid 2010: Semantic Indexing, Known-Item Search, And Content-Based Copy Detection,
2010
Singapore Management University
Vireo At Trecvid 2010: Semantic Indexing, Known-Item Search, And Content-Based Copy Detection, Chong-Wah Ngo, Shi-Ai Zhu, Hung-Khoon Tan, Wan-Lei Zhao
Research Collection School Of Computing and Information Systems
This paper presents our approaches and the comparative analysis of our results for the three TRECVID 2010 tasks that we participated in: semantic indexing, known-item search and content-based copy detection.
Going Mobile: Launching A Mobile Website And Other Mobile Resources,
2010
George Washington University
Going Mobile: Launching A Mobile Website And Other Mobile Resources, Elizabeth Palena Hall, Alexandra Gomes, Laura E. Abate, Paul Levett, Morgan Wilcoxson, Steven W. Brown, Jolinda Thompson, John B. Lopez, Velda Jones
Himmelfarb Library Faculty Posters and Presentations
In spring 2010, the staff of Himmelfarb Health Sciences Library met to discuss ideas for a mobile web page and review ways to reach out to users in the mobile environment. By fall 2010, the library launched a mobile website and LibGuide, including drop-in help sessions provided for students. This poster presentation is an overview of the mobile support that the library currently provides to users.
The Mississippi Digital Library’S Civil Rights Thesaurus: An Evolving Authority Control Tool For Civil Rights-Related Headings In Metadata Records,
2010
University of Southern Mississippi
The Mississippi Digital Library’S Civil Rights Thesaurus: An Evolving Authority Control Tool For Civil Rights-Related Headings In Metadata Records, Kathleen L. Wells
The Southeastern Librarian
The online Civil Rights Thesaurus (CRT) at the University of Southern Mississippi (USM) had its beginnings in the digitization of civil rights materials in the university’s McCain Library and Archives in the early 2000s. The materials included oral history interviews, letters, newspaper clippings, photographs, and other items from the rich history of the civil rights movement in Mississippi, including materials from the Freedom Summer of 1964. In addition to the creation of digitized images, making these materials available online as the Civil Rights in Mississippi Digital Archive included the formulation of descriptive records using Dublin Core metadata and the development …
Comparative Analysis Of Combinations Of Dimension Reduction And Data Mining Techniques For Malware Detection,
2010
Ateneo de Manila University
Comparative Analysis Of Combinations Of Dimension Reduction And Data Mining Techniques For Malware Detection, Proceso L. Fernandez Jr, Jeffrey C. Yiu, Paul Albert R. Arana
Department of Information Systems & Computer Science Faculty Publications
Many malware detectors utilize data mining techniques as primary tools for pattern recognition. As the number of new and evolving malware continues to rise, there is an increasing need for faster and more accurate detectors. However, for a given malware detector, detection speed and accuracy are usually inversely related. This study explores several configurations of classification combined with feature selection. An optimization function involving accuracy and processing time is used to evaluate each configuration. A real data set provided by Trend Micro Philippines is used for the study. Among 18 di↵erent configurations studied, it is shown that J4.8 without feature …
Jointly Modeling Aspects And Opinions With A Maxent-Lda Hybrid,
2010
Singapore Management University
Jointly Modeling Aspects And Opinions With A Maxent-Lda Hybrid, Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li
Research Collection School Of Computing and Information Systems
Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and opinions. Recently topic models have been used to identify meaningful review aspects, but existing topic models do not identify aspect-specific opinion words. In this paper, we propose a MaxEnt-LDA hybrid model to jointly discover both aspects and aspect-specific opinion words. We show that with a relatively small amount of training data, our model can effectively identify aspect and opinion words simultaneously. We also demonstrate the domain adaptability of our model.
Mining Interesting Link Formation Rules In Social Networks,
2010
Singapore Management University
Mining Interesting Link Formation Rules In Social Networks, Cane Wing-Ki Leung, Ee Peng Lim, David Lo, Jianshu Weng
Research Collection School Of Computing and Information Systems
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules (LF-rules) containing link structures known as Link Formation patterns (LF-patterns). LF-patterns capture various dyadic and/or triadic structures among groups of nodes, while LF-rules capture the formation of a new link from a focal node to another node as a postcondition of existing connections between the two nodes. We devise a novel LF-rule mining algorithm, known as LFR-Miner, based on frequent subgraph mining for our task. In addition to using a support-confidence framework …
Finding Unusual Review Patterns Using Unexpected Rules,
2010
Singapore Management University
Finding Unusual Review Patterns Using Unexpected Rules, Nitin Jindal, Bing Liu, Ee Peng Lim
Research Collection School Of Computing and Information Systems
In recent years, opinion mining attracted a great deal of research attention. However, limited work has been done on detecting opinion spam (or fake reviews). The problem is analogous to spam in Web search [1, 9 11]. However, review spam is harder to detect because it is very hard, if not impossible, to recognize fake reviews by manually reading them [2]. This paper deals with a restricted problem, i.e., identifying unusual review patterns which can represent suspicious behaviors of reviewers. We formulate the problem as finding unexpected rules. The technique is domain independent. Using the technique, we analyzed an Amazon.com …
Context Modeling For Ranking And Tagging Bursty Features In Text Streams,
2010
Singapore Management University
Context Modeling For Ranking And Tagging Bursty Features In Text Streams, Xin Zhao, Jing Jiang, Jing He, Xiaoming Li, Hongfei Yan, Dongdong Shan
Research Collection School Of Computing and Information Systems
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without taking into account the semantic contexts of terms, and as a result the detected bursty features may not always be interesting or easy to interpret. In this paper we propose to model the contexts of bursty features using a language modeling approach. We then propose a novel topic diversity-based metric using the context models to find newsworthy bursty features. We also propose to use the context models to automatically assign meaningful tags to bursty …
Modeling 3d Facial Expressions Using Geometry Videos,
2010
Nanyang Technological University
Modeling 3d Facial Expressions Using Geometry Videos, Jiazhi Xia, Ying He, Dao T. P. Quynh, Xiaoming Chen, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
The significant advances in developing high-speed shape acquisition devices make it possible to capture the moving and deforming objects at video speeds. However, due to its complicated nature, it is technically challenging to effectively model and store the captured motion data. In this paper, we present a set of algorithms to construct geometry videos for 3D facial expressions, including hole filling, geodesic-based face segmentation, and expression-invariant parametrization. Our algorithms are efficient and robust, and can guarantee the exact correspondence of the salient features (eyes, mouth and nose). Geometry video naturally bridges the 3D motion data and 2D video, and provides …
Trajectory-Based Visualization Of Web Video Topics,
2010
Singapore Management University
Trajectory-Based Visualization Of Web Video Topics, Juan Cao, Chong-Wah Ngo, Yong-Dong Zhang, Dong-Ming Zhang, Liang Ma
Research Collection School Of Computing and Information Systems
While there have been research efforts in organizing largescale web videos into topics, efficient browsing of web video topics remains a challenging problem not yet addressed. The related issues include how to efficiently browse and track the evolution of topics and eventually locate the videos of interest. In this paper, we introduce a novel interface for visualizing video topics as evolution trajectories. The trajectory visualization is capable of highlighting milestone events and depicting the topical hotness over time. The interface also allows multi-level browsing from topics to events and to videos, resulting in search exploration could be more efficiently conducted …
Online Multiple Kernel Learning: Algorithms And Mistake Bounds,
2010
Michigan State University
Online Multiple Kernel Learning: Algorithms And Mistake Bounds, Rong Jin, Steven C. H. Hoi, Tianbao Yang
Research Collection School Of Computing and Information Systems
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing the intersecting research. In this paper, we introduce a new research problem, termed Online Multiple Kernel Learning (OMKL), that aims to learn a kernel based prediction function from a pool of predefined kernels in an online learning fashion. OMKL is generally more challenging than typical online learning because both the kernel classifiers and their linear combination weights must be learned simultaneously. In this work, we consider two setups for OMKL, i.e. combining …
Mining Collaboration Patterns From A Large Developer Network,
2010
Singapore Management University
Mining Collaboration Patterns From A Large Developer Network, Didi Surian, David Lo, Ee Peng Lim
Research Collection School Of Computing and Information Systems
In this study, we extract patterns from a large developer collaborations network extracted from Source Forge. Net at high and low level of details. At the high level of details, we extract various network-level statistics from the network. At the low level of details, we extract topological sub-graph patterns that are frequently seen among collaborating developers. Extracting sub graph patterns from large graphs is a hard NP-complete problem. To address this challenge, we employ a novel combination of graph mining and graph matching by leveraging network-level properties of a developer network. With the approach, we successfully analyze a snapshot of …
Youth Olympic Village Co-Space,
2010
Singapore Management University
Youth Olympic Village Co-Space, Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao
Research Collection School Of Computing and Information Systems
We have designed and implemented a 3D virtual world based on the Co-Space concept encompasses the Youth Olympic Village (YOV) and several sports competition venues. It is a massively multiplayer online (MMO) virtual world built according to the actual, physical locations of the YOV and sports competition venues. On top of that, the Co-Space is being populated with human-like avatars, which are created according to the actual human size and appearance; they perform their activities and interact with the users in realworld context. In addition, autonomous intelligent agents are integrated into the Co-Space to provide context-aware and personalized services to …
Business Network-Based Value Creation In Electronic Commerce,
2010
Singapore Management University
Business Network-Based Value Creation In Electronic Commerce, Robert John Kauffman, Ting Li, Eric Van Heck
Research Collection School Of Computing and Information Systems
Information technologies (IT) have affected economic activities within and beyond the boundaries of the firm, changing the face of e-commerce. This article explores the circumstances under which value is created in business networks made possible by IT. Business networks combine the capabilities of multiple firms to produce and deliver products and services that none of them could more economically produce on its own and for which there is demand in the market. We call this business network-based value creation. We apply economic theory to explain the conditions under which business networks will exist and are able to sustain their value-producing …
Wsm'10: Second Acm Workshop On Social Media,
2010
Singapore Management University
Wsm'10: Second Acm Workshop On Social Media, Susanne Boll, Steven C. H. Hoi, Roelof Van Zwol, Jiebo Luo
Research Collection School Of Computing and Information Systems
The ACM SIGMM International Workshop on Social Media (WSM'10) is the second workshop held in conjunction with the ACM International Multimedia Conference (MM'10) at Firenze, Italy, 2010. This workshop provides a forum for researchers and practitioners from all over the world to share information on their latest investigations on social media analysis, exploration, search, mining, and emerging new social media applications.
