M Tech Dissertations

Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/3

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Subject: search.filters.subject.Query languages

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    ItemOpen Access
    Automated sparql generation
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2015) Ladhar, Kanahiya Lal; Jat, P. M.
    Observing the last decade, semantic data on web is increasing exponentially with time and it has become difficult for amateur users to retrieve information. An enhancement of the existing web is semantic web where semantics is attached with the information, allowing machine and users to work in cooperation. A RDF is a standard model for data interchange on web, developed to interlink large amount of Linked data for web semantic and to extract data efficiently in less amount of time. To retrieve data from RDF database, SPARQL is used as a standard query language. To use SPARQL it is necessary to have knowledge of all Uri’s which is unique for each resource in DBpedia, but to figure out the Uri’s for all the resources in not feasible and predicate is restricted to domain and range. In this work we propose an interface which maps the keyword into URI, a major step towards the automated SPARQL generation. Our system take keyword-SPARQL as input and produces SPARQL as output which can be executed on SPARQL endpoint. Studying the structure of DBpedia, we create an interface which provides Auto suggestion technique to users to resolve the general problems caused due to DBpedia structure and commonly occurring typing errors . Concept and property mapping functions are used to map instances to concept in DBpedia and WSD is used to resolve the predicate disambiguation. The advantage of this approach is that users, who are unaware of the Schema of DBpedia and complexity of SPARQL, can retrieve information.
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    ItemOpen Access
    SPARQLGen: generation of SPARQL from pseudo BGP
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2012) Mandloi, Dipendra Singh; Chaudhary, Sanjay; Jat, Pokhar Mal
    SPARQL is the querying language and communication protocol for communicating with RDF data sources. SPARQL query requires knowledge of URIs of bound values in the triple patterns and ontological schema used by dataset. A person, even expert in SPARQL, nds hard to gure out URIs for bound values to be used in the query. This requirement brings a gap between end user and SPARQL query formation. In this work, we aim to facilitate semantic search over web of data by converting keywords into URIs, and present SPARQLGen. SPARQLGen provides an easy way of writing SPARQL query for a given query over Web of Data (RDF data). Through appropriate interface, semantic annotations of keywords are captured. We derive a Pseudo Basic Graph Pattern which is basically similar to SPARQL BGP except that it contains keywords rather than full resource URIs. Here, we propose heuristics that discover URIs for annotated keywords and build corresponding SPARQL query. SPARQLGen takes services of falcons, a semantic search engine. The Linked Open Data plays the major role in nding aliased URIs of an entity. The nal set of results contains a list of URIs of different data sources. SPARQLGen bridges the gap between end user and SPARQL query formation. The interface allows users to write user intended keywords instead of highly syntactic SPARQL query so that he/she needs not worry about the URIs of entities while writing their queries.
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    ItemOpen Access
    Service integration on social network
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2011) Patel, Mehul; Chaudhary, Sanjay; Bise, Minal
    Microblogging services are part of social network platforms, which allow people to exchange short messages. Social networks provide people to play an active role in collecting, analyzing and reporting news and information. People can use social network platform for marketing, buying and selling of their products. A sellers can tweet regarding product information including links of related photos, videos etc. A buyer can show interest in the product by means of tweets. Social network can be used as a mechanism to bring sellers and buyers closer. It provides a common platform for buyers and sellers to sell and buy their products. Microblogs can be parsed and analyzed to generate useful suggestions, e.g. sellers can be informed about potential buyers to get higher profit. Such information can be used to generate classified information to help users to take decision, e.g. minimum expected price of a crop that sellers expect in a given region. Microblogs can be written in different regional languages. Agro-produce marketing information can be processed and then stored in RDF/RDF(S) and OWL data store. SPARQL and conjunctive queries with pellet like reasoner or SPARQL-DL can be used to generate classified summarized information from RDF/RDF(S) and OWL data store.