Ad-hoc object retrieval in the web of data

Pound, Jeffrey; Mika, Peter; Zaragoza, Hugo

doi:10.1145/1772690.1772769

Cited by 179 publications

(170 citation statements)

References 22 publications

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“…We follow the definition by Pound et al [3] and define entity search as the task of answering arbitrary information needs related to particular aspects of entities, expressed in unconstrained natural language and resolved using a collection of structured data. We address a particular kind of entity search, namely the search over multiple data sources, called federated search, which entails the three main problems of source representation, source selection, and result merging [8,9].…”

Section: Overviewmentioning

confidence: 99%

“…This development is also driven by the demand from Web search users, whose most dominant search task is the search for entities. Recent studies showed that about 70% of Web search queries contain entities [2] and that the intent of about 40% of unique Web queries is to find a particular entity [3]. In contrast to named entities, which are text tokens identifying specific concepts, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Federated Entity Search Using On-the-Fly Consolidation

Herzig

Mika

Blanco

et al. 2013

Advanced Information Systems Engineering

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Abstract. Nowadays, search on the Web goes beyond the retrieval of textual Web sites and increasingly takes advantage of the growing amount of structured data. Of particular interest is entity search, where the units of retrieval are structured entities instead of textual documents. These entities reside in different sources, which may provide only limited information about their content and are therefore called "uncooperative". Further, these sources capture complementary but also redundant information about entities. In this environment of uncooperative data sources, we study the problem of federated entity search, where redundant information about entities is reduced on-the-fly through entity consolidation performed at query time. We propose a novel method for entity consolidation that is based on using language models and completely unsupervised, hence more suitable for this on-the-fly uncooperative setting than state-of-the-art methods that require training data. Further, we apply the same language model technique to deal with the federated search problem of ranking results returned from different sources. Particular novel are the mechanisms we propose to incorporate consolidation results into this ranking. We perform experiments using real Web queries and data sources. Our experiments show that our approach for federated entity search with on-the-fly consolidation improves upon the performance of a state-of-the-art preference aggregation baseline and also benefits from consolidation.

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Section: Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Federated Entity Search Using On-the-Fly Consolidation

Herzig

Mika

Blanco

et al. 2013

Advanced Information Systems Engineering

Self Cite

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“…This task is indeed a valuable one. A great fraction of the user's queries (more than half of them) are entity-centric [4], and the potential of web data for this task is immense compared to that of web documents. For these reasons, we organise our retrieval model around the concept of an entity as opposed to the concept of a document found in traditional web search engines, and design the query language so to be able to support the needs of entity search (e.g., restrictions on attributes).…”

Section: Information Retrieval For Web Datamentioning

confidence: 99%

“…SIREn is designed for indexing very large datasets and handling the requirements of indexing and querying Web Data: constant time incremental updates and very efficient entity lookup using semi-structural queries with full text search capabilities. With respect to DBMS and IR systems, SIREn positions itself somewhere in the middle as it allows semistructural queries while retaining many desirable IR features: single inverted index, effective caching, top-k queries and efficient distribution of processing across index shards 4 . 4 An index shard is a particular subset of the entire index.…”

Section: Conclusion On Node-based Indexingmentioning

confidence: 99%

“…With respect to DBMS and IR systems, SIREn positions itself somewhere in the middle as it allows semistructural queries while retaining many desirable IR features: single inverted index, effective caching, top-k queries and efficient distribution of processing across index shards 4 . 4 An index shard is a particular subset of the entire index.…”

Section: Conclusion On Node-based Indexingmentioning

confidence: 99%

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Searching web data: An entity retrieval and high-performance indexing model

Delbru

Campinas

Tummarello

2012

Journal of Web Semantics

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A framework for the theoretical evaluation of XML retrieval

Blanke

Lalmas

Huibers

2012

J Am Soc Inf Sci Tec

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We present a theoretical framework to evaluate XML retrieval. XML retrieval deals with retrieving those document components—the XML elements—that specifically answer a query. In this article, theoretical evaluation is concerned with the formal representation of qualitative properties of retrieval models. It complements experimental methods by showing the properties of the underlying reasoning assumptions that decide when a document is about a query. We define a theoretical methodology based on the idea of “aboutness” and apply it to current XML retrieval models. This allows comparing and analyzing the reasoning behavior of XML retrieval models experimented within the INEX evaluation campaigns. For each model we derive functional and qualitative properties that qualify its formal behavior. We then use these properties to explain experimental results obtained with some of the XML retrieval models.

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Ad-hoc object retrieval in the web of data

Cited by 179 publications

References 22 publications

Federated Entity Search Using On-the-Fly Consolidation

Federated Entity Search Using On-the-Fly Consolidation

Searching web data: An entity retrieval and high-performance indexing model

A framework for the theoretical evaluation of XML retrieval

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