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Three forms of contextual search have been proposed in the literature. The first one is to scan the full text of a query to figure out user needs and based on that scan, HTML pages for content will return an index of the relevant content. In this case, the user has no control over the context of the query. The second form of contextual search is used by meta-search engines and requires the user to...
Today, smart objects in Internet of Things (IOT) are able to detect their state and share it with other objects across the Internet, thus collaboratively making intelligent decisions on their own. Large number of objects is quietly introduced into the web every day. It is impossible for a user to keep a track of all objects available around him. Therefore a search engine that could find smart objects...
In order to easily query and blend structured data on the web a query formulation language is presented. The core novelty of this is that it permits people with restricted IT skills to explore and query one (or multiple) data sources without prior knowledge about the schema, structure, terminology, or any technological details of these sources. Data source considered may be either an offline or inline...
Current search engine performances need to be improved because often the result suggested by search engine are determine the popularity of a given page for its associated keywords but does not match specific user expectations. Previous researches have indicated that only 20% to 45% of the common search results are relevant. The search becomes harder when the keyword used is a homographic word, and...
In this paper, we present a novel method for deep user profiling using information available on social networks about a user's activities and interests. We use this information to personalize the search for the user and make results available via web and low end mobile phones. In addition to using a user's profile as a context, we also use the context of location and implement a location based search...
Growing number of services need efficiently locating the desired web services. The similarity metric plays an important role in service search. However, most solutions only exploit information available in the descriptions of services and employ a single similarity metric. We observe that under different contexts the descriptions of services vary in their level of semantic ambiguity. It is hardly...
The purpose of this study is to explore the characteristics of queries of varied search tasks driven by different user intents. For this, the study collected empirical and descriptive evidence of twenty-nine subjects' information searching process on the Web. Several indicators have been employed to determine different characteristics of queries. The results indicate that there were statistical differences...
XCD Search-An XML Context-driven Search Engine answers both Keyword-based and Context-driven queries using stack-based sort merge algorithm. It performs well with all criteria of queries against XML trees, except queries submitted against a document, whose XML tree contains a parent node and child interior node, both having same Taxonomic Label and both have child/children data node(s) and/or attribute(s)...
The size of the publicly indexable World Wide Web (WWW) has probably surpassed 14.3 billion documents and as yet growth shows no sign of leveling off. Search engines encounter the problem of ambiguity in words; therefore, search engines use ontology to find pages with words that are syntactically different but semantically similar. The knowledge provided by ontology is extremely useful in defining...
Result caching is an efficient technique for reducing the query processing load, hence it is commonly used in search engines. In this paper, we study query result caching and proposes a cache management policy for achieving higher hit ratios compared to traditional heuristics methods. Our cache management policy comprises an eviction policy and an admission policy, and it divides the memory allocated...
The term Deep Web (sometimes also called Hidden Web) refers to the data content that is created dynamically as the result of a specific search on the Web. In this respect, such content resides outside web pages, and is only accessible through interaction with the web site typically via HTML forms. It is believed that the size of the Deep Web is several orders of magnitude larger than that of the so-called...
Internet has become the essential platform for access, processing and dissemination of scientific data and literature. To greatly enhance academic search, a novel academic metasearch engine called e-Scholar is presented in this paper, which is combined with entity extraction techniques to link the relevant data in scientific databases with the literature. We demonstrate a scalable architecture implementing...
Conventional database selection algorithms are very helpful in improving search results and reducing network overhead and computation time by cutting off databases that are irrelevant to the queries. However, they have not been designed to adapt to the changing interest and intentions of users in the document retrieval process. In this paper, we propose an adaptive search system using heterogeneous...
We introduce an XML search engine called XRQ. The search engine employs recursive querying techniques for answering XML loosely structured queries. Recursive querying allows a query to query the results of a previous application of itself or of another query. We experimentally evaluated the search quality and efficiency of XRQ and compared it with two search engines, XSeek and XKSearch.
Volumes and types of electronically available data have increased dramatically in recent years as a result of the fact that the Internet has become primary means of communication and collaboration. In response to user's queries, information discovery tools produce a list of resources which, sometimes, includes unnecessary documents, and occasionally filters out important ones for querying users. Since...
In this paper, we explain a user centered approach to collaborative information retrieval where the focus is not only on the system but on the users' interactions in solving an information problem. Our approach consists in facilitating knowledge sharing among users during information retrieval process through annotation and interpersonal communication. We created an environment for users to share...
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