COMAD

Textbooks are the primary vehicles for delivering subject knowledge to the students and are known to be the educational input most consistently associated with improvements in student learning. With the emergence of abundant online content, cloud ...

The proliferation of social media is undoubtedly changing the way people produce and consume news online. Editors and publishers in newsrooms need to understand user engagement and audience sentiment evolution on various news topics. News consumers want ...

The web is a vast repository of human knowledge. Extracting structured data from web pages can enable applications like comparison shopping, and lead to improved ranking and rendering of search results. In this talk, I will describe two efforts to ...

With rapid advancements in computing hardware, tracking devices such as GPS receivers and sensors have become pervasive, generating a large amount of spatio-temporal data, such as measurements of temperature, pressure, air quality, traffic, etc. using ...

The growth of the World Wide Web has led to an astronomical amount of data being generated. More recently, the amount of user-generated content has seen tremendous expansion thanks to social media like Facebook and Twitter. Enterprises, researchers, and ...

Most real world problems are characterized by relational structure i.e. entities and relationships between them. Further, they are inherently uncertain in nature. Theory of logic gives the framework to represent relations. Statistics provides the tools ...

Due to ubiquitous sensors (GPS, Accelerometer), easy of use apps (Facebook, Twitter etc), presence of audio & video recording devices and higher internet connectivity, the key characteristics of raw data is changing. This new data can be characterized ...

Query processing and optimization in centralized and distributed environments is well-researched. Centralized query optimization focused on minimizing the number of input/output (or I/O) from disk. Distributed query processing focused mainly on ...

We have developed an ontology based information extraction system where property and relation name occurrences are used to identify domain entities using patterns written in terms of dependency relations. Our key intuition is that, with respect to a ...

The recovery of blocks of missing values in regular time series has been addressed by model-based techniques. Such techniques are not suitable to recover blocks of missing values in irregular time series and restore peaks and valley. We propose REBOM (...

The business intelligence and decision-support systems used in many application domains casually rely on data warehouses, which are decision-oriented data repositories modeled as multidimensional (MD) structures. MD structures help navigate data through ...

Column-oriented data stores, such as BigTable and HBase, have successfully paved the way for managing large key-value datasets with random accesses. At the same time, the declining cost of flash SSDs have enabled their use in several applications ...

There is a large amount of textual data on the Web and in Wikipedia, where mentions of entities (such as Gandhi) are annotated with a link to the disambiguated entity (such as M. K. Gandhi). Such annotation may have been done manually (as in Wikipedia) ...

Frequent patterns are an important class of regularities that exist in a database. Although there exists no universally acceptable best measure to assess the interestingness of a pattern, relative support is emerging as a popular measure to discover ...

Ordering queries within a workload and ordering joins in a query are important problems in databases [1]. We give algorithms for the query sequencing problem that scale (small space) and are efficient (low runtime) as compared to earlier work [4]. The ...

Let {e₁, e₂,..., e_l} be a set of distinct records in a database, with unique IDs {id₁, id₂,..., id_l}. Let A₁, A₂,..., A_p be a set of distinct attributes for each record. For every record e_i, the attribute A_j is zero or some positive value. We denote the ...

On online social media, users join new online social networks (OSNs) to exploit variety of services while maintaining their old identities on other OSNs. A user maintains an identity on each OSN mentioning metadata (e.g. profile information) about her. ...

In last decades, Semantic DataBases (SDB) have emerged and the major DBMS editors provide semantic support in their products. This is mainly due to the spectacular development of ontologies in several important domains like E-commerce, Engineering, ...

Information overload is the major problem of today's Internet use. User frequently gets much more information than needed. Also much of the information which the user gets is less relevant and very few links, items, or contents are really useful. To get ...

Named entity recognition (NER) systems are important for extracting useful information from unstructured data sources. It is known that large domain dictionaries help in improving extraction performance of NER. Unstructured text usually contains entity ...