We build model structures on the category of equivariant simplicial operads with weak equivalences determined by families subgroups, in context a varying set colors (and building fixed color prequel). In particular, specifying to family graph subgroups (or, more generally, one indexing systems Blumberg-Hill), we obtain whose are norm map data.

Deciding indexing string is important for Information Retrieval. Ideally, the strings should be the words that represent the documents or query. Although each single word may be the first candidate of indexing strings for English corpus, it may not ideal due to the existence of compound nouns, which are often good indexing strings, and which depends on genre of corpus. The situation is even wor...

In this paper, we propose a new technique for multidimensional query processing which can be widely applied in database systems. Our new technique, called tree striping, generalizes the well-known inverted lists and multidimensional indexing approaches. A theoretical analysis of our generalized technique shows that both, inverted lists and multidimensional indexing approaches, are far from bein...

Finding useful information from large multimodal document collections such as the WWW without encountering numerous false positives poses a challenge to multimodal information retrieval systems (MMIR). A general model for multimodal information retrieval is proposed by which a user’s information need is expressed through composite, multimodal queries, and the most appropriate weighted combinati...

Semantic Role Labeling (SRL) has been used successfully in several stages of automated Question Answering (QA) systems but its inherent slow procedures make it difficult to use at the indexing stage of the document retrieval component. In this paper we confirm the intuition that SRL at indexing stage improves the performance of QA and propose a simplified technique named the Question Prediction...

The emergence of the Cloud system has simplified the deployment of large-scale distributed systems for software vendors. The Cloud system provides a simple and unified interface between vendor and user, allowing vendors to focus more on the software itself rather than the underlying framework. Existing Cloud systems seek to improve performance by increasing parallelism. In this paper, we explor...

It is well known that selectivity leaves a lot to be desired in searching for information resources on the Internet with existing search systems[DESA4]. This has prompted a number of researchers to turn their attention to the development and implementation of models for indexing and searching information resources on the Internet. In this white paper we examine briefly the results of a simple q...

The majority of today’s IR systems base the IR task on two main processes: indexing and searching. There exists a special group of dynamic IR systems where both processes (indexing and searching) happen simultaneously; such a system discards obsolete information, simultaneously dealing with the insertion of new information, while still answering user queries. In these dynamic, time critical tex...

In order to utilize the large volume of images in databases efficiently, content-based image retrieval (CBIR) has been successfully employed whereby instead of the actual images extracted feature descriptors are used. CBIR systems usually employ multidimensional indexing structures, such as the R*tree or the SR-tree to index these features and thus to speed-up the query performance. However, th...

Storage and retrieval of images in such libraries has become a real demand in industrial, medical, and other applications. Content-based image indexing and retrieval (CBIR) is considered as a solution. In such systems, in the indexing algorithm, some features are extracted from every picture and stored as an index vector. We apply tamura texture features on digital images and compute the low or...