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Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related
designed a full automated frame work which has an ability to identify Keyword, symbols, attributes, values and relations among different types of queries by applying an AI methodology. NoSQL Query is generated by using the query elements which are extracted through framework. Even there is no involvement of user normal
produced unsatisfactory results for the patent queries, since the inherent search systems would have come from the traditional keyword based models so that it has been inevitable to result in too many unrelated items. This has made the patent experts keep spending a lot of time to refine the results manually. We propose two
in evaluating the annotators consistency, which uses an innovative database schema and combines two different annotation approaches. A set of 100 images were annotated by 16 annotators using vocabulary keywords and free keywords. The results indicate that combination of annotation methods may lead to increased
There is no previous research that compares the results of k-means, CLOPE clustering and Latent Dirichlet Allocation (LDA) topic modeling algorithms for detecting trending topics on tweets. Since not all tweets contain hashtags, we considered three training data feature sets: hashtags, keywords and keywords + hashtags
Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, we propose a
In recent years, tagging methods have been widely used on the Web for multimedia search and recommendation systems. Social tags are the keywords annotated by users to the multimedia objects. These tags contain the information which allows multimedia objects to be located and classified. Unfortunately, irrelevant
-seven participants from both genders and different cultural backgrounds participated in two experiments. In the first experiment, they watched 20 emotional videos and self-reported their felt emotions using arousal, valence, dominance, and predictability as well as emotional keywords. In the second experiment, short videos
gets answer in the form of compact text along with map for visualization purpose. This aims at developing geographic domain question answering system [QAS] embedded with mapping abilities where our system will allow users to specify a location addition to the keywords they are searching for as a query. Our system will
Traditional automatic classifiers often conduct misclassifications. Folksonomy, a new manual classification scheme based on tagging efforts of users with freely chosen keywords can effective resolve this problem. Even though the scalability of folksonomy is much higher than the other manual classification schemes, the
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.